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Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada Partner One is a fast-growing investment group that acquires and operates industry leading software companies. Our mission is to build strong, sustainable organizations by empowering exceptional people and driving operational excellence across our portfolio. We maintain a decentralized model that allows each business unit to operate with agility while being supported by a global shared services infrastructure. Description We are seeking a Business Unit Controller to oversee the financial operations and performance of one or more software business units within the Partner One group. This role will serve as a strategic finance partner to business leadership and report directly to the CFO, playing a key role in ensuring accurate financial reporting, operational efficiency, and data-driven decision-making. The ideal candidate is hands-on, analytical, and results-oriented, with deep experience in accounting, financial planning, and operational finance within the software industry and complex, multi-entity environments. You will work closely with the CFO and senior leadership to drive financial performance, ensure operational excellence, and contribute to Partner One’s continued global growth and success. Responsibilities An Ideal candidate that can move comfortably between big picture ideas, and the tactics and action steps needed to flawlessly execute them. Oversee all accounting and financial reporting activities for the assigned business unit(s), ensuring compliance with Partner One policies and relevant accounting standards (US GAAP). Lead the monthly, quarterly, and annual closing processes, including revenue recognition, accruals, reconciliations, and preparation of financial statements. Monitor performance of the business unit(s) against targets, providing detailed variance analyses and insights to drive informed business decisions. Develop and maintain key financial and operational metrics, including ARR, churn, deferred revenue, and EBITDA. Partner with business leaders and the CFO to embed a cost-conscious culture focused on accountability, transparency, and value-driven decision-making. Strengthen internal controls, streamline accounting workflows, and ensure financial integrity across systems and processes. Collaborate with centralized finance teams (payroll, tax, treasury, AP/AR) to support efficient end-to-end operations. Contribute to M&A integration efforts, including purchase accounting, opening balance sheets, and system transitions. Manage audits, statutory filings, and compliance with local and international financial regulations. Prioritize mentorship, team building, and coaching to local finance and accounting personnel Requirements Bachelor’s degree in Accounting, Finance, or related field (CPA or equivalent professional designation preferred). 10+ years of progressive experience in accounting or financial management, with at least 3 years in the software industry or a complex, multi-entity corporate environment. Strong understanding of SaaS financial metrics and revenue recognition principles. Proven experience with financial reporting, consolidation, budgeting, and analysis. Proficiency in accounting systems such as Sage Intacct or NetSuite, and strong Excel and financial modeling skills. Excellent analytical, communication, and organizational skills. Ability to thrive in a fast-paced, remote, and international work environment. An ideal candidate must have demonstrated success in building teams and developing staff. A candidate who is obsessed with process improvement, automation, and finding efficiencies in on-going operations -------------------------------------------------------------------------------- À propos de Partner One Partner One est un groupe d’investissement en pleine croissance qui acquiert et exploite des entreprises de logiciels parmi les plus réputées de leur secteur. Notre mission est de bâtir des organisations solides et durables en donnant aux personnes talentueuses les moyens de se dépasser et en favorisant l’excellence opérationnelle au sein de notre portefeuille d’entreprises. Nous privilégions un modèle décentralisé qui permet à chaque unité d’affaires de fonctionner avec agilité, tout en bénéficiant du soutien d’une infrastructure mondiale de services partagés. Description du poste Nous sommes à la recherche d’un contrôleur ou d’une contrôleuse d’unité d’affaires pour superviser les activités financières et la performance d’une ou de plusieurs unités d’affaires du secteur des logiciels au sein du groupe Partner One. La personne titulaire du poste agira à titre de partenaire stratégique en matière de finances auprès de la direction de l’unité d’affaires et relèvera directement du chef de la direction financière (CFO). Elle jouera un rôle clé pour assurer l’exactitude de l’information financière, l’efficacité opérationnelle et la prise de décisions fondées sur les données. La personne idéale est une professionnelle ou un professionnel de la finance qui possède une approche pratique, un bon esprit d’analyse et une forte orientation vers les résultats. Elle possède une solide expérience en comptabilité, en planification financière et en gestion financière opérationnelle dans le secteur des logiciels et dans des environnements complexes comportant plusieurs entités. En étroite collaboration avec le CFO et la haute direction, cette personne contribuera à améliorer la performance financière, à assurer l’excellence opérationnelle et à soutenir la croissance continue de Partner One à l’échelle mondiale. Responsabilités Être en mesure de passer aisément d’une vision stratégique globale aux mesures concrètes et aux actions nécessaires à sa mise en œuvre efficace. Superviser l’ensemble des activités comptables et de production de rapports financiers des unités d’affaires assignées, en veillant au respect des politiques de Partner One et des normes comptables applicables, notamment les PCGR des États-Unis (US GAAP). Diriger les processus de clôture financière mensuelle, trimestrielle et annuelle, notamment la comptabilisation des revenus, les charges à payer, les rapprochements de comptes et la préparation des états financiers. Suivre la performance des unités d’affaires par rapport aux objectifs établis et fournir des analyses détaillées des écarts ainsi que des recommandations afin d'éclairer la prise de décisions. Élaborer et maintenir des indicateurs clés de performance financière et opérationnelle, notamment le revenu annuel récurrent (ARR), le taux d’attrition de la clientèle (churn), les revenus reportés et le BAIIA (EBITDA). Collaborer avec les responsables des unités d’affaires et le CFO afin de promouvoir une culture axée sur la maîtrise des coûts, la responsabilisation, la transparence et la création de valeur. Renforcer les contrôles internes, optimiser les processus comptables et assurer l’intégrité de l’information financière dans l’ensemble des systèmes et des processus. Collaborer avec les équipes centralisées des finances (paie, fiscalité, trésorerie, comptes fournisseurs et comptes clients) afin d’assurer l’efficacité des opérations financières de bout en bout. Participer aux activités d’intégration liées aux acquisitions, notamment la comptabilité d’acquisition, l’établissement des bilans d’ouverture et les transitions de systèmes. Superviser les audits, les déclarations réglementaires et le respect des exigences financières et réglementaires locales et internationales. Accorder une grande importance au mentorat, au développement des équipes et à l’accompagnement du personnel local en comptabilité et en finances. Exigences Baccalauréat en comptabilité, en finance ou dans un domaine connexe. Le titre de CPA ou une désignation professionnelle équivalente est un atout. Plus de 10 ans d’expérience progressive en comptabilité ou en gestion financière, dont au moins 3 ans dans le secteur des logiciels ou dans un environnement corporatif complexe comportant plusieurs entités. Excellente compréhension des indicateurs financiers propres aux entreprises SaaS et des principes de comptabilisation des revenus. Expérience démontrée en production de rapports financiers, en consolidation, en budgétisation et en analyse financière. Maîtrise de systèmes comptables tels que Sage Intacct ou NetSuite, ainsi que d’Excel et de la modélisation financière. Excellentes capacités d’analyse, de communication et d’organisation. Capacité à s’épanouir dans un environnement de travail à distance, international et en constante évolution. Expérience démontrée dans la création et le développement d’équipes ainsi que dans l’encadrement du personnel. Forte volonté d’améliorer continuellement les processus, d’automatiser les opérations et de trouver des moyens d’accroître l’efficacité des activités courantes.

Location: Ukraine; Poland; Spain; Portugal; Romania; Czechia At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Middle ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more. Team: Engineering Manager, 6 MLE’s. Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Technical Stack: Python, PyTorch, Scikit-Learn, Spacy, LangChain, LangGraph etc. As a qualified expert, You will Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems. Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We’re looking for you if you have Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. Technical Expertise: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others; experienced in natural language processing and modern LLM-based techniques; experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques; skilled with SQL and data extraction methods. Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders. Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have. Languages: English —Upper-Intermediate or higher; Ukrainian —fluent/native . What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Pre-Screening with the recruiter Technical interview (up to 90 min) System Design interview (up to 45 min) Final interview with Engineering Manager (60 min)

Location: Ukraine; Poland; Georgia; Moldova; Armenia Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Software Engineer (.NET/C#) to enrich its team with a skilled professional. Project ​Developing the application for working with laboratory equipment. Work within the client's team, and full participation in the team means high level of responsibility and initiative. Responsibilities Design, develop, and maintain cloud-based using Microsoft .NET and C#. Collaborate closely with a multi-disciplinary, international team to deliver high-quality software solutions. Ensure adherence to clean code principles and contribute to elegant and pragmatic software designs. Participate in all stages of the software development lifecycle, including requirement analysis, architecture design, coding, testing, and deployment. Lead or contribute to the implementation of new features, enhancements, and bug fixes. Work with Docker, Kubernetes, or similar containerization tools to deploy scalable applications (experience in these technologies is a plus). Collaborate in a multi-site setup, ensuring smooth communication and alignment across teams. Requirements 5+ years of professional software engineering experience. Strong programming skills and software engineering fundamentals. Experience developing applications using C# and .NET . Experience building and maintaining modern software applications, including web and/or desktop solutions. Experience with REST APIs, data access technologies, relational databases, and industrial communication technologies such as OPC UA. Familiarity with cloud technologies and modern software deployment practices. Experience with Azure DevOps , including source control, work item management, and CI/CD pipelines. Experience working in Agile/Scrum development environments. Strong analytical and problem-solving skills. Ability to work effectively both independently and as part of a collaborative team. Strong communication skills and ability to work with technical and non-technical stakeholders. Experience with Blazor Experience with modern web, cloud, and data technologies such as Angular, React, Azure, MongoDB, or similar technologies is a plus. Domain familiarity with laboratory, scientific, industrial, or automation software is a plus. Strong verbal and written communication skills in English.

Location: Haifa, Israel About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt works together with over 30,000 restaurant and retail partners as well as with over 60,000 courier partners across 23 countries and 129 cities. Our apps (iOS and Android) have the industry’s highest reviews, largely because of our customer-centric approach to how we build our products and operations. For example, our customer service team responds in a matter of seconds, in the customer’s own language. We’ve raised more than €707M in financing from renowned U.S. and European-based investors, such as ICONIQ Capital, Tiger Global, DST, Prosus, KKR, Coatue, 83North, Goldman Sachs, Highland Europe and EQT Ventures & EQT Growth, among others. We've also been fortunate enough to receive some appreciation and recognition for our hard work along the way: Apple selected Wolt’s app as their Editors' Choice, Wired named the company one of the "Hottest Startups in Europe," Forbes included our CEO Miki Kuusi on its 30-under-30 in Consumer Tech list, and the Nordic Startup Awards named Wolt Company of the Year. In 2020, the Financial Times named us Europe’s second fastest-growing company. We’re still expanding rapidly and are looking for more talented individuals to join us. If you are passionate about cutting-edge technology, great food, and making an impact in your city, then Wolt just might be for you. Wolt is more than just a food and retail delivery operation – we are built upon a solid foundation of state-of-the-art technology. Our internal tooling enables us to ramp up new cities efficiently and provide excellent customer service, our own logistics platform allows us to optimize our couriers' work to get you the food you want as fast as possible, and our restaurant platform allows restaurants to offer exciting food experiences for our customers in an optimal way. We work in small teams with high ownership, with each team focusing on a key area of the Wolt product stack. Every one of our product team members has a say in where we are going and what solutions we implement. We work with passion, but we haven't forgotten how to have fun along the way! What you’ll be doing We are looking for a Group Support Service Manager to lead the Courier Support function at our Haifa site. This role will manage Team Leads and be responsible for service quality, operational performance, and the professional development of the teams within the domain. This is a meaningful leadership role that includes leading multiple teams and managers, working closely with local and global stakeholders, and directly influencing both courier experience and site performance. Day-to-day in this role you’ll: Manage, coach, and develop Team Leads within Courier Support. Own team performance across quality, efficiency, and service metrics, including CSAT, HT, SLA, and productivity. Build work plans, identify performance gaps, and lead data-driven improvement initiatives. Implement management routines, performance controls, and feedback practices across managers and teams. Lead performance improvement processes and employee development, while addressing professional and behavioral gaps when needed. Oversee day-to-day operations, task prioritization, and resource allocation based on operational needs. Partner closely with internal stakeholders, including Operations, Quality, Training, Workforce Management, and Global leadership. Lead projects and change initiatives within Courier Support while maintaining high-quality service and performance. Foster a professional, engaged, and growth-oriented work environment for managers and agents. Our humble expectations* Previous experience managing teams or managers in a service, operations, or fast-paced environment. Proven ability to lead performance, analyze data, and build effective work plans. Strong people-management skills, including coaching, giving feedback, developing managers, and leading challenging conversations. High level of ownership, independence, and ability to lead initiatives end to end. Strong prioritization and decision-making skills in a dynamic, fast-paced environment. Excellent interpersonal and stakeholder-management skills. Fluent Hebrew and English. Familiarity with Courier Support or Wolt systems is an advantage. If you are a people-focused leader who can drive change, turn data into action, and deliver results on the ground, we would love to hear from you. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

As a Commercial Account Executive, you'll play a key role in driving new business growth by acquiring net-new customers for Gong Foundations. You will own and manage the full sales cycle, with 100% focus on outbound prospecting.

Location: Remote Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We’re looking for an experienced Security Architect to design, implement, and oversee secure systems and applications across Blockstream’s enterprise products and infrastructure. The ideal candidate is a full-stack engineer with a strong backend focus, deep understanding of secure application design, and prior experience building or securing platforms in fintech, banking, or blockchain. You’ll partner closely with product, DevOps, and engineering teams to ensure Blockstream’s systems and data are protected from evolving threats — without compromising innovation or performance. What You’ll Be Doing (Responsibilities): - Define and drive security architecture across applications, services, and infrastructure. - Partner with engineering teams to design and implement secure software systems, focusing on backend and data security. - Conduct threat modeling, risk assessments, and security reviews for new and existing products. - Develop and enforce secure coding practices, frameworks, and review processes. - Collaborate with DevOps on cloud and container security, CI/CD hardening, and access controls. - Evaluate and integrate security tools for code scanning, vulnerability management, and incident response. - Guide and mentor engineers on best practices for secure application development. - Stay ahead of emerging security trends, compliance standards, and attack vectors — particularly in fintech and blockchain domains. What We Look For in You (Required Qualifications): - 10+ years of experience in software engineering or security architecture roles. - Strong full-stack background with deep backend security expertise (Python, Go, C/C++, Rust, or similar languages). - Demonstrated experience designing and securing systems for enterprise fintech, banking, or blockchain environments. - Knowledge of cryptography, authentication, and key management. - Hands-on experience with cloud security (AWS, GCP, or similar). - Familiarity with threat modeling, secure SDLC, and modern application security frameworks (OWASP, NIST, ISO 27001). - Excellent communication skills — able to clearly articulate risks and solutions to both technical and non-technical stakeholders. Nice To Haves (Preferred Qualifications): - Experience with Bitcoin, Lightning, or blockchain protocols. - Contributions to open-source security tools or projects. - Security certifications (CISSP, OSCP, CEH, or equivalent) are a plus but not required. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

As a Senior Software Engineer, you’ll build and scale the internal Payments engine that handles payments for the entire Delivery Hero. Your work keeps checkout reliable and payment failures low for customers across our markets.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO   THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money), Will Guidara (former co-owner of Eleven Madison Park and author of Unreasonable Hospitality)   THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, and Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours.   THE ROLE As Arca's Head of Tax, you'll build our tax practice from zero — the first tax hire, with a blank page and a mandate to make tax a proactive part of clients' financial life. Tax is where most of our clients feel the most friction, feel the most uncertain, and get the least help. A scramble for documents every spring, a preparer who sees one year at a time, and a wealth advisor who's never quite looped in. We think tax should be continuous, coordinated with the rest of the plan, and done ahead of the deadline instead of after it. You're here to build an AI-native tax practice from day one including the document gathering process, return preparation and review, client projection/planning before a client thinks to ask, and more. You'll design what the agents do, where a professional's judgment has to step in, and ensure end-to-end quality. This is a hands-on role involving return preparation, directly helping clients on their most complex situations, partner closely with our wealth advisors so tax and investment advice move as one, and own the service as a business: pricing, revenue, capacity, and the team you'll hire behind you. Most of your time goes to two things: doing the tax work and designing the platform that does it better, sitting next to the engineers who build it.   WHAT YOU’LL OWN - The tax practice. What we offer — starting with individual returns (1040s) and year-round planning, projections, and notices, and expanding to business returns (S-corps and other entity returns) for clients who own businesses — who it's for, and the standard every engagement is held to. You set the scope, the service model, the quality bar as well as selecting vendors (core tax return software in particular) to enable the business. - An AI-native tax process. End-to-end design of how tax work gets done at Arca — document collection, data normalization, preparation, review, filing, and post-filing. You'll work side by side with engineering and product to build it, and be the domain authority on every workflow. - Clients. You prepare, review, and own returns for clients whose situations take real expertise: stock options and RSUs, business income, S-corp owners, rental real estate, and multi-state filings. You explain tax in plain English and give clients confidence their needs are handled. - Partnership with our wealth advisors. Tax and investment advice as one plan, not two silos. You work with advisors on tax-loss harvesting, Roth conversions, charitable strategy, equity comp exercise timing, and withholding and estimated payments — and build the playbooks so advisors know when to bring you in. - Risk, compliance, and quality. Preparer standards, Circular 230 obligations, data security, engagement letters, review protocols, and an audit trail for every AI-assisted step. - The team. Hiring the preparers, reviewers, and specialists who come after you, and deciding which work we keep in-house versus partner on.   EXAMPLE PROBLEMS YOU’D WORK ON These are the kinds of questions the first year of this practice has to answer. - Tax season without the scramble. We already manage client accounts and know most of their financial picture. What does it take to have 80% of a return assembled before a client uploads a single document — and how do agents chase the remaining 20% seamlessly? - Where the agent stops and the professional starts. An agent can reconcile a 1099-B in seconds. It probably shouldn't be the one deciding how to treat a messy ISO disqualifying disposition. Drawing that line, and building a review layer that makes AI-prepared work more reliable than the traditional kind, is the core design problem. - Tax as a year-round signal. A client gets a bonus, sells a rental, or exercises options in July. How does the platform notice, rerun the projection, and get the right recommendation in front of the advisor while there's still time to act? - One plan, two disciplines. Every rebalance has a tax consequence, and every tax decision changes the investment plan. Designing how tax and wealth advice move together, inside one system, is what makes the model work.   THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You're a licensed tax professional. Active CPA license required, with 8–15+ years in individual and high-net-worth tax experience at a top firm, family office, or planning-focused practice. You've prepared and reviewed complex 1040s yourself and signed off on others' work. Equity compensation, rental real estate, and multi-state are familiar ground, and you're comfortable with the business returns that come with owner-clients: S-corps, partnerships, and C-corps. - You're a change agent. You've stood up a practice, introduced a new service line, or materially improved ways of operating. You take initiative, operate independently, and have driven impact and results. - You're AI-pilled. You already use AI in your work and have strong opinions on which parts of the tax process it should own. You don't need to write code; you need to know exactly what's slow, what's error-prone, and what a great system would do instead — and enjoy working next to the engineers who build it. - Clients and advisors trust you. You can sit with a client and make a complicated situation feel simple, and you see wealth advisors as partners. Experience working alongside a wealth management or RIA practice is a big plus. - You hold a high bar because of what's at stake. This is people's money, their filings, and their standing with the IRS. "Good enough" means something different when a mistake shows up as a notice in someone's mailbox. - You're someone people actually want to be in the room with. This is a small team, one office, five days a week, working on problems that don't have clean answers. Kind, direct, and low-ego, you can give candid feedback without being a jerk, and you're genuinely energized by this environment.   WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - You're the first. No legacy process, no inherited tools, no one else's practice to fix. Whoever takes this on defines tax at Arca. - The clients are already here. We have real advisors and over $1B in client assets on the platform, and more firms and advisors joining. You're building a practice with demand on day one. - The platform is live. Agents already do real work for our advisors. You get to extend a working system into tax rather than wait for one to be built. - Tax is the next chapter. As Arca expands from wealth management into tax, estate planning, insurance, and beyond, tax is the first step. The patterns you set become the template for every service line after it. Benefits: Medical, dental, and vision insurance, a 401(k), and more.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Software Engineer to join the Business Systems team. In this role, you will play a crucial role in architecting, developing, and optimizing the backend infrastructure and user experiences that underpin WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll design, build and evolve critical services and integrations that support Supply & Demand Planning, Inventory Management, Order Management, Fulfillment & Logistics, Membership Services, and other business functions. This role is designed for a visionary backend engineer who is passionate about building scalable, reliable, and flexible systems, eager to tackle high-impact challenges, and committed to delivering user-centric solutions that pave the way for our growth. RESPONSIBILITIES: - Set technical direction for critical domains within the Business Systems team, establishing an architecture and roadmap that balances immediate business priorities with long-term reliability, flexibility, and scale. - Architect, develop, and maintain backend services, APIs, integrations, and internal tools that connect business platforms, reduce manual work, and improve the accuracy and flow of data across systems. - Design and implement well-loved user experiences to interact with backend systems. - Partner with stakeholders across all of the teams mentioned above to understand critical workflows, identify opportunities for needle-moving improvement, and translate them into technical solutions. - Lead engineering efforts for complex technical initiatives from discovery through production rollout, coordinating dependencies across teams and vendors and measuring outcomes through operational efficiency, reliability, and user adoption. - Strengthen the security and resilience of business-critical systems through automated testing, observability, appropriate access controls, and improvements informed by production incidents. - Mentor engineers and elevate technical decision-making through hands-on development, thoughtful design and code reviews, and clear documentation that builds shared understanding and ownership. - Independently drive your agenda forward; this is a highly cross-functional role that needs broad trust and alignment in order to thrive. You must be skilled in driving this independently while also being able to move quickly. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 8+ years of professional backend software engineering experience. - Experience delivering and operating production software for complex business workflows, with demonstrated technical leadership across multiple systems or teams. - Ability to evaluate architectural tradeoffs across custom software and third-party platforms, considering business value, security, reliability, and ongoing maintenance. - Deep expertise in designing APIs, working with relational databases, and integrating enterprise applications or cloud services, including managing data consistency, retries, and failure recovery. - Strong software engineering fundamentals and proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., with a track record of writing maintainable, well-tested code. - Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for resilient, high-throughput data processing networks, task automation, and streamlined workflows to optimize business operations - Deep experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - A strategic problem-solver with the ability to turn ambiguous business needs into practical technical plans and communicate decisions clearly to both technical and nontechnical stakeholders. - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment - Experience mentoring engineers and influencing cross-functional partners through collaboration, sound technical judgment, and a focus on shared outcomes. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We are looking for a skilled, motivated, and proactive Project Manager to join our Project Management and Strategy Development Division at .

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. Sierra’s Applied Research team works to make the models behind our agents better, faster, and cheaper across many kinds of tasks. Our work covers post-training open-weight models for specialized capabilities, new approaches to voice AI, and the benchmarks the field uses to measure agents, including τ-bench. As an Applied Research Intern, you’ll join the team for a research project, working with a mentor, you’ll pick a problem that matters to how AI agents perform in the real world, run rigorous experiments, and potentially write up what you find for a top venue. If you want your research to reach both the research community and production agents used by millions of people, come do it at Sierra. WHAT YOU’LL DO - Own a research project from start to finish, from framing the question and running experiments to writing and submitting a paper. - Push agent evaluation forward, for example by extending τ-bench to new domains, modalities, or long-horizon tasks, or by building new ways to measure reliability and consistency. - Study how agents reason, use tools, and follow policies over multi-turn conversations, and find out where and why they fail. - Explore post-training methods such as supervised fine-tuning and reinforcement learning to improve agent behavior, and measure the gains rigorously. - Work with large-scale, proprietary datasets of text and audio interactions to find research questions grounded in real customer problems. - Work with researchers and engineers across Sierra, and where it makes sense, turn your findings into improvements in production. WHAT YOU’LL BRING - Currently pursuing a PhD in computer science, machine learning, or a related field. - A research track record, such as first-author publications or submissions at venues like NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech or ICASSP. - Strong experimental skills: you design clean experiments, build careful baselines, and are honest about what the results do and do not show. - Fluency in Python and modern ML tooling (for example, PyTorch, and LLM inference and training stacks). - High agency and a builder’s mindset. You’ll work across the stack to get an experiment running. - Clear, direct communication, both in writing and when presenting research. EVEN BETTER - Research experience with LLM agents, tool use, or multi-turn dialogue. - Experience designing benchmarks or evaluations, especially ones tied to real-world outcomes. - Experience with supervised fine-tuning, reinforcement learning, or long-horizon optimization. - Experience with speech, voice, or multimodal models. - Open-source contributions to ML research code or benchmarks. INTERN QUALIFICATIONS - The internship is open to students currently enrolled in a PhD program. - Duration and start dates are flexible. Interns are embedded with the Applied Research team and work under the guidance of a mentor. - The internship is based in our San Francisco office. We are in person Monday through Thursday. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Seoul Workplace: Remote 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 Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers. In Korea, this role is a rare chance to pioneer Harvey’s presence in one of Asia’s most sophisticated legal markets. As a strategic partner to Korean law firms and in-house teams, you will help lawyers do higher-quality work faster and with more confidence using Harvey, and you will thrive in ambiguity while doing it. What You’ll Do - Work directly with lawyers at current and prospective customers in Korea to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work. - Serve as the voice of the customer, translating feedback and legal workflow insights, including those specific to Korean legal practice and Korean-language needs, into concrete, lawyer-ready product direction. - Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt. - Build and refine product demonstrations, workflows, and use cases in Korean and English that reflect how Korean legal teams actually work, including how AI is changing that work. - Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed. - Provide competitive and market intelligence on the Korean and wider APAC legal tech landscape. - Strengthen Harvey’s reputation in Korea and across APAC as a credible, substantive, and forward-looking AI partner to the legal industry. What You Have You move confidently through uncertainty, operate at speed, and ship solutions that work, iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI’s potential to transform legal work, a bias towards action, and the creativity to solve problems nobody has cracked yet. - Based in Seoul and eligible to work in South Korea. - Korean legal qualification (변호사 자격) or equivalent. - At least 3 years of experience as a qualified lawyer at a top-tier Korean or international law firm and/or in-house, with strong exposure to complex legal workflows and client expectations. - Fluency in Korean and English, with the ability to operate seamlessly across both in professional settings. - Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations. - Ability to operate across legal, product, and sales contexts, translating between stakeholders with clarity and precision. - Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership. - Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them. 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-EL1 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: Prague; Limassol; United Kingdom - Remote Workplace: remote The Senior Director, Product Management leads the product team for Azul Prime and is accountable for Prime’s growth. Prime is Azul’s high-performance JVM, and Optimizer Hub, the component that moves JIT compilation and warm-up off the JVMs and into a shared service running in the customer’s Kubernetes environment, is part of it. Prime wins when customers run Java at scale and care about latency, warm-up, and cloud cost. You set Prime’s direction, run the product managers who work on it, and answer to the CPO, CEO, CRO, and SVP of Engineering for the results. This is a player-coach role. You manage a team, and you still own the decisions on strategy, pricing, and the hardest customer conversations. What You'll Own Outcomes. You own whether Prime succeeds or fails in the market. New business, pipeline, pilot-to-production conversion, expansion, renewal, and retention on Prime are your numbers, not just the field’s. You define what success looks like, instrument it, report it honestly when it is bad, and change the product or the plan when the data says the strategy is wrong. Strategy. Set the multi-year direction for Prime: which segments and workloads it wins, what to build versus partner for, and how it fits with Optimizer Hub, Azul Core, Intelligence Cloud, and Payara. Be explicit about what customers compare Prime against, including other JVM vendors, OpenJDK builds, and simply buying more cloud capacity. You own the thesis and you are accountable for whether it holds up. Executive partnership. Report to the CPO and work directly with the CEO, CRO, and CTO. Bring strategy, roadmap, and pricing decisions to the leadership team, argue for them with data, and change your mind in public when the evidence says you should. This is a visible role with real exposure. Go-to-market. Build and run the Prime go-to-market motion with sales, marketing, and customer success: who the buyer is, which accounts to target, what the pitch is, how pilots are structured, and what makes them convert. Work with the Prime sales specialists and field leadership on target accounts, qualification, and deal strategy. Join strategic customer and prospect calls yourself, and keep a clear, evidence-based view of why Prime deals are won, lost, and stalled. Roadmap. Translate strategy into a sequenced, credible roadmap, and make the trade-offs explicit rather than accidental. Build alignment across engineering, sales, and marketing around it, and inspire the teams to deliver it. Communicate it internally and to customers, hold the line on scope, and keep a heavy bias for action. Pricing and packaging. Own how Prime is priced, packaged, and metered, including how Optimizer Hub is packaged as part of it. Prime makes customers’ fleets more efficient, which can shrink the very footprint the price is based on, so the model has to account for that. You build the models, pressure-test them with the field, and work with finance and sales to get them approved and into market. Team leadership. Manage, develop, and hire the product managers on Prime. Give each PM a clear area to own and hold them to outcomes, not requirements. Set the standard for how the team works: written strategy and decisions, customer evidence behind every roadmap call, and AI tools used in daily product work. Inbound product management. Make sure the team works with engineering beyond writing requirements: in the sprints, in design reviews, and in the implementation trade-offs. Customer requirement sessions, customer-facing technical documentation, and the operator experience of installing, sizing, and running Optimizer Hub on Kubernetes all sit with your team. Outbound product management. Partner with marketing on positioning, launches, sales enablement, and public-facing content. Run competitive and market research. Make sure the Prime story lands with developers, platform teams, and the executives who sign. Technical credibility. Hold your own with the engineering teams. You understand JVM architecture and principles of operation, JIT compilation, garbage collection, and warm-up in particular, well enough that engineers treat you as a peer rather than a requirements conduit, and a customer’s platform engineers and CTO do too. What You'll Bring (aka Experience, Skills, Education) Required 15+ years in engineering and/or product roles, with a strong track record of launching and scaling products to revenue. 10+ years in product management, including owning a product or product line end to end: strategy through launch through revenue. 5+ years managing teams, including hiring, developing, and managing product managers. Track record shipping enterprise infrastructure or developer software sold to platform and engineering teams, such as language runtimes, application performance, observability, or cloud cost optimization. Ability to develop a deep working knowledge of JVM architecture and operation: JIT compilation, garbage collection, and warm-up. Demonstrated ownership of pricing and packaging for a technical product, including the cross-functional work of getting a model approved and into market. Experience building a go-to-market motion with sales: working enterprise deals, and understanding DevOps engineers, platform engineers, and developers as the key influencers in a sales cycle. Experience conducting market and competitor research with focus on product impacts and positioning. Experience directly interacting with customers and prospects - building customer relationships, discussing roadmap and strategy and conducting customer interviews Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Fluency with AI tools and experience operating in an AI-first product management organization. You use them in your daily product work and have a view on where they help and where they don’t. Excellent written and verbal communication in English, equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup. Self-directed, and a strong writer, because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background: you have written code and debugged production systems. Experience with open source communities and licensing. Experience taking a product from early traction to a durable revenue line. Experience leading across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. Working knowledge of Java and Java development tooling. Education Bachelor’s degree in a related field or equivalent work experience. An advanced degree and/or relevant certifications are nice to have, but not required. Location This can be a fully remote role, ideally be based in one of Azul's European locations such as Prague, Czech Republic or Limassol, Cyprus, OR any other location in Europe or the EU. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

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 Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows. This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team. Key responsibilities Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos Minimum qualifications Experience as a data engineer or analytics engineer building and operating production pipelines and data models Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values Familiarity with go-to-market data and the CRM systems it flows through Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality Clear written and verbal communication with technical and non-technical partners Regular hands-on use of AI tools in your engineering work Preferred qualifications 5+ years of experience in data engineering, analytics engineering, or GTM data roles Experience building a shared data product or platform that several teams depend on and contribute to Experience with company data such as firmographics, corporate hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experience supporting GTM planning processes such as territory design, segmentation, or scoring The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York; San Francisco; Atlanta Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. OVERVIEW We are seeking a talented and driven Solutions Engineer to join our Revenue organization. Reporting directly to our head of Solutions Engineering for North America, this is a highly visible, client-facing role where you will act as the primary technical expert for our enterprise merchants. This role offers a dynamic blend of pre-sales and implementation experiences, allowing you to guide our largest clients from their initial technical evaluation all the way through to a successful launch. The role can based out of one of our three offices: NYC, Atlanta, and San Francisco, 3-days in office hybrid. Unfortunately we do not offer visa support or relocation at this time. YOU WILL - Immerse yourself in the payments industry and build a comprehensive understanding of the Checkout.com http://Checkout.com platform, including our core solutions, products, and services. - Team up with Sales Representatives to engage directly with enterprise merchant prospects in a pre-sales context. - Investigate and understand enterprise prospects’ pain points, business needs, and functional requirements to propose tailored, high-impact solutions. - Deliver compelling presentations and product demonstrations to prospects, leveraging sales decks, user interfaces, API walk-throughs, reports, and integration examples. - Take primary responsibility for the end-to-end technical lifecycle, encompassing pre-sales presentations, solution design, technical implementation, and go-live support. - Serve as the internal voice of the merchant, collaborating cross-functionally with Product, Engineering, Financial Partnerships, and Finance teams to solve complex technical challenges and influence the Checkout.com http://Checkout.com product roadmap. - Operate with an AI-forward mindset, actively utilizing AI tools to enhance productivity, efficiency, and overall output quality. REQUIRED QUALIFICATIONS - 2+ years of proven experience in the payments industry/expertise is required. - Strong technical skills, as evidenced by your educational background or professional work experience. - 2+ years of direct role-related experience in fields such as Sales Engineering, Implementation Engineering, Solutions Engineering, Technical Account Management, or Solutions Architecture or similar client-facing technical role (pre or post sale). - Exceptional client-facing communication skills with a proven track record of managing external stakeholders. - Deep understanding of API-based integrations, specifically with REST/JSON APIs, and proficiency with related development and testing tools like Postman. - A natural problem-solver with strong analytical and debugging skills. You should be capable of reproducing, isolating, and clearly explaining technical issues using logs, API responses, and other diagnostic tools. - The ability to distill complex technical concepts and communicate them clearly and effectively to a non-technical business audience. - Highly organized and adaptable, with the ability to thrive in a fast-paced, high-growth environment while effectively managing shifting priorities. NICE TO HAVE QUALIFICATIONS - Industry-specific and role-specific experience at a Payment Service Provider (PSP) similar to Checkout.com http://Checkout.com. - Exceptional technical skills, demonstrated through a formal engineering degree or highly technical professional work experience. - Hands-on experience in specialist product domains such as Platforms (Independent Software Vendors, Payment Facilitators, or Marketplaces), Card Issuing, or In-Person Payments (IPP). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Lehi, Utah Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We’re seeking a Senior Customer Implementation Consultant to join our growing Customer Success and Support team. This is a senior-level individual contributor role for someone who thrives in complex implementation environments, has strong product expertise, and is passionate about improving operational excellence. You’ll be a strategic advisor during the onboarding journey for our most complex customers, owning the implementation lifecycle and working cross-functionally to ensure customer success. You’ll also be a thought partner to leadership and a mentor to peers—raising the bar as we scale our team and company. This role reports to the Senior Manager of Implementation and is based in Lehi, UT, with a hybrid schedule requiring in-office presence on Tuesdays, Wednesdays, and Thursdays. Day In The Life Lead high-complexity implementations for large, multi-site customers with minimal oversight. Act as a strategic consultant, guiding clients through best practices on change management, system adoption, and business process transformation. Serve as a product specialist across Workstream’s HR and Payroll tools—educating clients, identifying gaps, and recommending tailored configurations. Own the end-to-end project lifecycle, including project planning, stakeholder management, risk mitigation, and successful go-live. Collaborate deeply with Sales, Product, Engineering, and Customer Success to influence roadmap priorities and share customer feedback. Build and continuously improve scalable implementation processes, documentation, and templates. Deliver executive-level presentations and client onboarding plans for key enterprise accounts. Contribute to internal enablement by mentoring team members, leading knowledge shares, and serving as a go-to implementation SME. Influence team culture by modeling operational excellence, curiosity, and customer empathy. Who You Are You think like an operator—planning ahead, spotting inefficiencies, and continuously refining the customer journey. You’re a trusted voice in the room, both with customers and internal stakeholders. You’re naturally curious and autonomous—you don’t wait for a playbook; you help write it. You lift others—offering your expertise freely and proactively mentoring teammates. 5+ years of experience leading SaaS implementations for complex or enterprise-level clients, ideally in HRIS, Payroll, and/or B2B software 5+ years in a customer-facing consulting, implementation, or technical onboarding role Proven ability to manage multiple high-touch onboarding projects simultaneously Strong cross-functional collaboration and communication skills—especially with Product and Engineering Experience advising clients on process design, adoption strategy, and change management Deep project management skills—you can build Gantt charts in your sleep Comfort with tools like Salesforce and implementation/project management software Ability to train and mentor junior implementation specialists Nice To Have Payroll, compliance, or HRIS domain knowledge Startup experience of 1 to 3 years (prior customer success experience even better) What We Offer A mission-driven and value-based company dedicated to empower deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage: medical, dental, and vision. We pay 95% of your premiums for our employees and 85% for dependents In office amenities and stocked kitchen 401K Plan Pre-tax commuter benefits Flexible PTO Salary Range In compliance with the California Pay Transparency Law, the base salary range for this role is $90,000 to $105,000 in Lehi, Utah, plus eligibility for a performance-based bonus and equity package. When determining a candidate's compensation, we consider a number of factors, including skill set, experience, job scope, and current market data. Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is a network of thousands of communities where over 100 million daily active users dive into their interests, hobbies, and passions. Core to scaling our ads, and consumer experiences is high-quality, continuous data annotation. Our Operations ecosystem is expanding its central labeling engine to power models, taxonomies, and product experiments across both our Ads and Consumer Product organizations. We are seeking a Staff Operations Program Manager (IC5) to serve as the strategic architect and operations lead for Reddit’s central data labeling function. In this high-visibility, 0-to-1 role, you will engage directly with product and technical teams across the company at all levels, to determine requirements and how best to execute these via our centralised function. You will excel at translating complex, unstructured product needs into clear, scalable labeling directives that can be seamlessly executed by vendor teams and you will partner with our vendor partners to scale and optimize our delivery model.  In parallel, you will partner with cross functional leaders to define the future of automated, LLM-based labeling - positioning Reddit to leverage best in class technology and operations efficiencies. Responsibilities: Strategic Intake & Expectation Management: Strategic Intake & Expectation Management: Own and scale the incoming request process across Consumer and Ads. Ensure delivery frameworks are robust and reliable, and that all initiatives are prioritised appropriately, based on agreed criteria and business impact. 0-to-1 Operations & LLM Scaling: Take full ownership of shaping how the central labeling function grows; design and execute the operational roadmap to integrate LLM-assisted labeling workflows to augment human vendors and multiply throughput. Taxonomy & Experimentation Architecture: Standardize taxonomy definition guidelines and operationalize complex, multi-quarter labeling projects supporting Consumer Org product experiments and Ads Org safety systems. Cross-Functional Alignment: Partner directly with Product Managers, Data Scientists, and Ops Leaders across orgs to align labeling capabilities with broader business objectives, translating high-level concepts into executable human and machine tasks. Guideline & Operational Calibration: Partner with our dedicated Vendor Manager to hand off clear task guidelines, resolve complex edge cases, and establish feedback loops that ensure task performance aligns with product expectations. Framework Development: Build, document, and standardize centralized request intake models, SLA frameworks, quality assurance practices, and throughput metrics across all labeling domains. Required Qualifications: 7+ years of experience in data operations, program management, or vendor operations with a heavy focus on data labeling, model training data, or taxonomy infrastructure. Stakeholder Management & Leadership: Proven ability to align Product and Engineering leadership, skilled at setting firm boundaries, and enforcing structured prioritization. Translation & Taxonomy Mastery: Exceptional ability to translate vague product requirements into detailed, unambiguous labeling instructions, edge-case trees, and taxonomy classification schemas. LLM & Automation Integration: Experience leveraging LLMs, synthetic data generation, or automated tooling to augment traditional vendor annotation workflows and scale operational capacity. Operational Collaboration: Demonstrated ability to partner effectively with internal Vendor Operations/Managers to translate project requirements into executable guidelines and handle task-level escalations. Preferred Qualifications: Experience navigating cross-functional dynamics across both Ads/Monetization and Consumer-facing product organizations. Strong proficiency in SQL and data manipulation to independently analyze vendor quality metrics, pipeline throughput, and project completion SLAs. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $180,200 — $252,300 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.