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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it. We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice. Key responsibilities Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one Build and shape the agentic tooling running on top of our platform, and set the pattern other engineers follow when they build the next one Trace the dependency chain from upstream data and downstream quoting and provisioning systems, and make sure design decisions account for what they break Partner with the platform developers on the team as engineering practice deepens, expanding what the team can safely ship Minimum qualifications Have strong software engineering fundamentals: version control discipline, testing, code review, deployment automation, and a bias toward simple designs Have built the delivery pipeline for a team, not just worked within one, and can describe the sequencing choices you made Have led a team through a step change in engineering practice as its scope grew, including what you did when adoption slowed Work fluently with AI coding tools and agentic development workflows, and have views on how a team should standardize around them Can run a technical discussion across teams that do not report to you and leave it with a decision rather than a follow-up meeting Reason about systems you do not own well enough to predict how your changes affect them Prefer influence through demonstrated work over positional authority Preferred qualifications Have worked on business-critical enterprise platforms where financial correctness and auditability mattered Have experience with Salesforce or comparable enterprise platforms, including their metadata and deployment models Have built tooling or agents on top of an enterprise system of record Have operated in a company under audit or compliance constraints The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary:     We are looking for a Principal Salesforce Architect, reporting to the Director – Enterprise Architecture, to work with the IT team, product teams, as well as senior executives to drive the design of our enterprise domain taxonomy.  As a Salesforce Architect, you will be required to represent deep expertise on modernization and transformation of mission critical applications facilitated by aligning these applications to their core business domains. The ideal candidate will champion business and technology alignment of core capabilities ensuring the buildout of an enterprise taxonomy framework which will underpin domain roadmaps and technology transformation.  We are seeking a candidate who has great breadth and depth of experience when it comes to developing business relationships and ensuring technology alignment.   Key Responsibilities:   •Execute the strategic vision for the Enterprise Architecture practice under the guidance of leadership •Collaborate with domain architects, engineers, and leaders to develop technical standards, reference architectures, design patterns, opinion papers, and architecture decision frameworks that guide technology solutions, especially those requiring integration of multiple platforms, operating systems, and applications across the business. •Develop and manage a technical strategy and coordinates adoption. This individual will be responsible for architecting enterprise guidance that conveys standard processes and common pitfalls for system design, infrastructure integrations, application development practices, and application runtime principles. •Manage the architecture review process by creating validation checklists, reviewing architectural artifacts, and providing domain specific guidance to drive architectural alignment across the enterprise. •Translate business requirements into well architected solutions that best leverage the Salesforce com platform •Design and develop effective and efficient end to end solutions for complex business problems •Apply architectural and engineering concepts to design solutions that meet operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. •Manage the technical delivery of custom development integrations and data migration elements of a Salesforce com implementation •Technical Strategy Development: Develop and execute a comprehensive technical strategy for Salesforce platform encompassing architecture design development integration and maintenance •Conduct research and develop Proof of Concepts on emerging technologies and implementation toolkits in support of anticipated development efforts and recommend technologies that are functionally robust and cost effective. •Research, enforce, and drive the adoption of design patterns throughout the enterprise and evangelize standard processes for solution design and development. •Contribute to producing target state solution architectures, conducting architectural assessments and gap analyses, and shaping the overall solution strategy and roadmap •Partner with data architect(s) to support data management practices, ensuring data integrity, security, and compliance •Partner with integration architect(s) to support integration strategies ensuring seamless communication and data flow across various systems •Work closely with solution architects to ensure that individual solutions align with the overall enterprise architecture •Collaborate with business leaders to create business capability models that align technology capabilities with business needs •Contribute to building a vibrant ‘learning community’ within the enterprise architecture discipline, fostering continuous improvement and consistently delivering value to various business units   Required Experience & Skills:    •Bachelor's or Master's degree in Computer science, Information Technology, or a related field •5+ years of experience as a senior domain architect or senior enterprise architect. •Prior experience as a Principal Salesforce Architect in a global organization working with Salesforce Connected Apps (applications from SalesForce App Exchange) •Proven experience designing and delivering complex B2B SaaS Salesforce solutions. •Led at least two large-scale Product-to-Cash (CPQ/RCA) implementations from design to go-live, with 5+ years of experience defining Salesforce architecture across quoting, contracting, fulfilment, billing, revenue, customer success, and customer support. •Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps would be a plus. •Experience with planning and leading architecture delivery for large-scale business and systems transformation programs is a must •Proven track record of successfully leading large scale Salesforce initiatives from concept to delivery •Deep understanding of Salesforce architecture capabilities and ecosystem including Sales Cloud Service Cloud Marketing Cloud and Community Cloud or SuccessFactors ecosystem. •Strong leadership and interpersonal skills with the ability to effectively communicate complex technical concepts to non-technical stakeholders •Salesforce certifications such as Salesforce Certified Technical Architect CTA Salesforce Certified Application Architect or Salesforce Certified System Architect preferred •5 years of Hands-on enterprise architecture framework experience (TOGAF, C4, Archimate etc.) •Strong analytical, problem-solving, communication skills •Previous roles with a focus on data architecture, application or solution architecture, integration, risk management, and technology standards •Strong understanding of security architecture principles and practices. •Proven experience in business capability modeling and translating business needs into technology solutions     Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.     #LI-AJ1 #LI-hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $139,400-$174,300 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Philippines Workplace: fully About The Role: At Paysend, we're building the future of global payments - making money movement simple, fast, and accessible for everyone. As an Application Support Analyst, you'll play a critical role in delivering on that promise by ensuring our platforms run reliably and our customers can send and receive money without interruption. The Application Support Analyst owns the health of our transaction ecosystem end to end: investigating individual transactions and broader flow anomalies, detecting issues before they escalate, supporting release deployments and post-release system verification, and driving incidents to resolution across both our B2C and Enterprise product lines. You'll work with large volumes of real-time payment data, using tools like Oracle SQL, Postman, OpenSearch, and Grafana to trace transactions, diagnose root causes, and keep critical payment services running smoothly. This role is ideal for someone who enjoys solving complex problems, thrives in a fast-paced environment, and wants to make a tangible impact on the experience of millions of customers around the world. What You'll Do (Responsibilities): Transaction Administration: Analyze, track, and manage end-to-end payment transaction flows using Oracle SQL, Postman, and OpenSearch. System & Performance Monitoring: Maintain business-critical payment services, track SLA windows, and actively monitor system health using Grafana and related tools. Incident Management & Resolution: Conduct incident response efforts, including root-cause investigations, documentation of incident reports, and coordination of cross-functional teams to resolution. Stuck & Flagged Transaction Handling: Resolve transactions flagged for manual parsing and investigate payouts or funding stuck in pending status (>3 days), updating statuses or escalating as needed. Partner & Bank Communication: Serve as a point of contact for partners and banks to resolve processing issues, file-loading discrepancies, and data reporting corrections. SAR & PDP Reconciliation: Troubleshoot SAR reconciliation issues, including unmatched transactions, missing/duplicate report data, and platform data mismatches. Releases & Deployment: Coordinate, execute, and roll back service releases, verifying post-release system health and performance graphs. What You Bring to the Team: Problem-solving mindset with the drive to investigate novel issues and determine solution steps independently Technical Troubleshooting: Practical experience using SQL for data querying, alongside Postman to read API documentation and debug partner integrations. Monitoring & Operations: Basic Linux, network, or cloud administration experience. Incident & Escalation Management: Ability to manage concurrent, time-sensitive incidents under strict SLA windows, moving from root-cause analysis to final resolution. Cross-Functional Collaboration: Experience interfacing with external entities (banks, PSPs, processors) and internal stakeholders (Engineering, Settlement, Customer Support). Programming Literacy: Basic skills in any programming language to read code, run scripts, or inspect data payloads. Communication Skills: Advanced written and verbal English skills for managing communications with internal teams and external financial partners. Nice To Have Experience working directly with OpenSearch for log and transaction analysis. Hands-on experience with team collaboration tools (Slack, Google Workspace, Jira, Confluence). Domain knowledge in financial workflows, payment lifecycles, and core fintech terminology. Bachelor's degree in Computer Science, Information Systems, or a related operational field. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As one of Harvey’s founding SMB Account Executives, you'll play a pivotal role in driving growth within the legal and professional services markets. You will be responsible for establishing new business relationships with small law firms and in-house legal teams, deeply understanding their challenges, and delivering AI solutions that transform how they work. By combining a high-velocity sales motion with a consultative, solution-driven approach, you’ll set the foundation for how we win in SMB and create long term impact for our clients. We’re looking for someone who thrives in fast-paced, early-stage environments, is energized by building from scratch, and is passionate about bringing Harvey’s mission to life. WHAT YOU'LL DO - Own your book of business by prioritizing warm leads and a named account list to maintain a high velocity sales motion. - Manage the new business lifecycle from prospecting to qualifying, validating Harvey’s solution, and contracting. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet SMB customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Proactively develop tactics, collateral, and messaging to improve the SMB team’s performance, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology at high velocity. - Capable of independently leading a sales cycle from start to finish - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene - Ability to lead a multi-threaded sale with executive stakeholders – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. COMPENSATION $180,000 OTE 50/50 Split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, 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 We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research Design and execute validation studies to assess the quality of interviews and other selection tools Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency Lead investigative research into innovative approaches for candidate assessment Metrics design and governance Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces Analytical solution building Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning Quantify the adoption and downstream impact of deployed tools, driving iterative improvements Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations find, assess, and hire talent Preferred Qualifications: 5 +  years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in recruiting analytics specifically (not just general analytics) Experience running interview or assessment validation studies Experience building self-service analytics tools or dashboards Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, machine learning, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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 Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals. You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities. We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight. WHAT YOU'LL DO - Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done. - Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development. - Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns. - Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions. - Stay current on new developments in agentic systems and bring those learnings back to the products we build. WHAT YOU HAVE - 10+ years (post-BS/MS) of software engineering experience. - Passion for building effective domain-specific agents. - Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s. - Comfortable with when and how to use evaluations to drive quality. - Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop. - We are hiring for this role across Mid, Senior, and Staff levels. - Proficiency in Python and experience working with LLM APIs and agent frameworks. - Experience with shipping user-facing products, either on the backend or full-stack. COMPENSATION $231,000 - $340,000 USD 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-AP1 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: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who we're looking for: AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses. The role is based in Poland. Key Responsibilities: Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases. Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility. Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails. Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities. Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows. Prepare agent specifications and solution documentation that enable delivery teams to implement successfully. Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption. Support customer presentations and executive discussions around AI strategy. Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices. Required Skills & Competencies: Strong skills in business analysis, process design, value mapping, and discovery. Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations. Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role. Hands-on experience designing or launching AI-powered solutions or AI agents. Experience translating business requirements into solution designs. Experience working with enterprise customers and multiple stakeholders. Excellent executive communication and presentation skills. Strong analytical and systems thinking. Excellent spoken and written English. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY:   As our People Intelligence/Apps Technical Product Manager within the People Strategy & Insights team, you'll be a critical part of developing our agentic enablement platform and responsible for building and shipping the People applications that power how we hire, develop, and grow our team — from workforce planning tools to AI-augmented performance and org design solutions. Reporting to our Director of People Strategy & Insights and collaborating closely with People Partners, Leaders, FP&A, IT, and AI and Platform Engineering, you'll translate complex People domain challenges into elegant, scalable products that make a real difference in how we operate. At Taxfix, we're building an AI-native company — and this role sits right at the heart of that mission. YOUR RESPONSIBILITIES - Develop a deep understanding of the employee as “Builder” concept, and map the requirements different parts of the organisation have to unlock the capability of Engineers and non-Engineers to ship agentic workflows. - Design and implement AI-augmented tools and human-AI collaboration patterns, experimenting with emerging techniques to push the boundaries of what's possible in People operations. - Build, iterate, and continuously improve People applications using no-code and low-code platforms such as Claude Code, Notion, n8n, Google Cloud Apps, and other AI tools — owning the full product lifecycle from concept through delivery and optimisation. - Lead the continued adaption of Product mindset and ways of working across the People function, including the development and on going refinement of the People Products Roadmap. - Translate stakeholder needs into a prioritised People applications roadmap, balancing day-to-day operational demands with longer-term strategic initiatives and a clear build-vs-buy framework. - Build and maintain integrations across the People tech stack — including HiBob, Ashby, Peakon, and Postgres — ensuring seamless data flows, strong data integrity, and reliable automation via n8n. - Lead change management for new applications and features, creating documentation, training materials, and enablement sessions, then gathering feedback to iterate rapidly. - Partner with PSI leadership, People Partners, Workforce Planners, and FP&A, while collaborating with IT and Engineering to ensure all solutions meet IT security and privacy standards. YOUR PROFILE - You bring 5+ years of experience in technical product management or a closely related role, with a proven track record of building and shipping internal tools end-to-end. - You have hands-on experience building with AI tools such as Claude, GPT, or Google AI Studio, and you think naturally about how to design effective human-AI collaboration patterns. - You are a curious PM that is not afraid to challenge the status quo in a pragmatic and constructive way. - You are thinking in systems, understanding the economical aspect of internal processes and products and how those can create value. - You are technically fluent, comfortable working with APIs, webhooks, SQL, and cross-system data flows, and you know when to bring in Engineering versus when to build it yourself. - You have a product mindset: you manage roadmaps, prioritise ruthlessly, and deliver incremental value in fast-paced environments, all while keeping the end user's experience front and centre. - You are highly proficient with no-code and low-code platforms, Notion, n8n, AppSheet, Google Cloud Apps, or similar, and you're comfortable designing data models that support complex business logic and reporting. - Experience in People or HR tech, workforce planning, or org design is a strong plus, as is a background in high-growth startup or scale-up environments where ambiguity is the norm, not the exception. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix https://medium.com/taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As the Engineering Manager for Model Infrastructure, you'll lead the team responsible for the platform powering every model request across Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows. Model Infrastructure is one of Harvey's most strategic engineering organizations. Every product capability—from chat experiences and agents to document workflows and future reasoning systems—depends on this platform. Over the next several years, the team will evolve beyond operating third-party models to building the infrastructure that enables Harvey to train, evaluate, deploy, and operate our own frontier AI models. This role offers the opportunity to shape the technical foundation of Harvey's AI platform and build an organization that will power the company's next phase of growth. WHAT YOU'LL DO - Lead and grow a high-performing team of software engineers responsible for Harvey's Model Infrastructure platform. - Define the technical roadmap for model reliability, scalability, and operational excellence. - Build highly reliable systems for model provisioning, capacity management, failover, and incident response across multiple AI providers. - Own Harvey's multi-provider model platform, including provider integrations, SDK upgrades, API migrations, and onboarding new model providers. - Drive the evolution of our Unified Model Controller (UMC) and Model Selector platform to automatically detect degraded models and intelligently route traffic based on health, latency, quality, compliance, and cost. - Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end model telemetry. - Partner with Product Engineering to support new model launches, capacity planning, experimentation, and proactive production monitoring. - Lead initiatives to improve inference efficiency, reduce infrastructure costs, and increase model utilization across providers. - Build the infrastructure foundation for Harvey's future model training efforts, including data pipelines, model operations, training environments, and AI platform capabilities. - Partner with executive leadership on long-term AI infrastructure strategy and vendor relationships. - Recruit, mentor, and develop exceptional engineering talent while fostering a culture of technical excellence and operational ownership. WHAT YOU HAVE - 8+ years of software engineering experience, including multiple years managing high-performing engineering teams. - Experience leading teams responsible for large-scale distributed systems or cloud infrastructure. - Strong technical background that enables you to guide architectural decisions and mentor senior engineers. - Experience operating highly available production services with strong reliability and operational excellence. - Experience building platforms that require scalability, observability, automation, and cost optimization. - Strong cross-functional leadership skills with the ability to partner effectively across Engineering, Research, Product, and external vendors. - Excellent communication skills and the ability to influence technical strategy across organizations. - A passion for building teams and developing engineering talent. NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple model providers such as OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source model ecosystems. - Experience building inference platforms, model gateways, traffic routing systems, or policy-based serving infrastructure. - Experience with Kubernetes, cloud infrastructure, distributed systems, and large-scale observability platforms. - Experience supporting GPU infrastructure, model training platforms, or ML infrastructure. - Familiarity with data platforms and technologies such as Spark, Kafka, Flink, Airflow, or Iceberg. - Experience leading organizations through periods of rapid growth and technical transformation. COMPENSATION $260,000 - $350,000 USD 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-AN2 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: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Senior Data Designer who can operate as the bridge between business stakeholders and engineering — someone equally comfortable running a requirements workshop and designing a Kimball-style dimensional model. This is not a pure modelling role: you'll investigate source systems, challenge and shape business requirements before any design work starts, and turn that understanding into governed, well-documented data platform designs that engineering teams can implement. You will contribute to data ingestion design, transformation logic, and data harmonization while working closely with stakeholders and platform teams. This project focuses on building and enhancing an enterprise data warehouse platform that supports data driven decision making across complex business domains. The work involves designing scalable data models, ingestion pipelines, and transformation logic to ensure high quality and consistent data. Design and document Enterprise Data Warehouse objects: data models, source-to-target mappings, model diagrams, and supporting design documentation that engineers deliver from Work with stakeholders and source-system SMEs to onboard new data sources and adapt designs to what each source provides Clarify the intent behind requirements before designing: why the stakeholder needs it and whether existing structures already cover it Profile and analyze source data to validate design assumptions Define data quality rules as part of designs for downstream teams to implement Investigate reported data issues, identify root causes, and propose design-level fixes Take designs through peer and design review; give and take constructive challenge Keep stakeholders informed: raise issues early, ask instead of assuming, follow up until unblocked Strong practical foundations of dimensional modeling — able to design warehouse models from raw source data and explain the reasoning behind design choices Hands-on experience producing source-to-target mapping documentation Working understanding of data platform layering and data load approaches Confident SQL for data profiling and validation Strong written and spoken English; comfortable gathering requirements and managing stakeholder expectations Attention to detail; comfortable working in a governed environment with reviews and design standards, and data privacy/PII classification requirements SAP as a source system Retail domain experience Agile delivery experience

Location: Dammam, Saudi Arabia We are looking for an experienced IT Solution Analyst – Business Solutions to support the eMarketPlace platform and related digital commerce solutions. The role will be responsible for understanding business requirements, translating them into scalable technology solutions, supporting solution design and implementation, and working closely with business and technology stakeholders to deliver effective eCommerce and marketplace capabilities . The ideal candidate should have strong experience in eMarketPlace solutions, commerce solutions, eCommerce platforms, CommerceTools, MACH architecture, guided buying, and eCatalogue solutions . Key Responsibilities & Accountabilities Analyze business requirements and translate them into functional and technical solution requirements. Support the design, implementation, and enhancement of eMarketPlace and eCommerce solutions . Work closely with business stakeholders to understand business processes, pain points, and future requirements. Define solution approaches that align with business objectives, enterprise architecture, security, integration, and technology standards. Support the implementation and optimization of CommerceTools and other commerce-related platforms. Work with solution architects, developers, product owners, vendors, and business teams throughout the solution lifecycle. Analyze existing systems and processes and identify opportunities for improvement, automation, and digital transformation. Support MACH architecture principles, including Microservices, API-first, Cloud-native, and Headless approaches. Support guided buying capabilities and digital procurement/customer purchasing journeys. Define and document requirements for eCatalogue solutions, product information, pricing, availability, and related marketplace capabilities. Develop functional specifications, user stories, process flows, use cases, and acceptance criteria. Support integration requirements between the marketplace/eCommerce platform and enterprise systems such as ERP, CRM, PIM, payment, logistics, identity, and other business applications. Participate in solution evaluations, technical discussions, proof-of-concepts, and vendor assessments. Work with development and testing teams to ensure that delivered solutions meet business and functional requirements. Support system testing, UAT, defect resolution, deployment, and post-production stabilization. Identify risks, dependencies, gaps, and opportunities associated with proposed solutions. Ensure that solutions are scalable, secure, maintainable, and aligned with enterprise technology standards. Prepare solution documentation and maintain relevant technical and functional artifacts. Provide ongoing support and continuous improvement for eMarketPlace and commerce solutions. Requirements 5–7 years of relevant experience in IT business solutions, solution analysis, eCommerce, digital commerce, marketplace, or related domains. Strong experience with eMarketPlace solutions and commerce platforms . Hands-on or strong functional experience with CommerceTools . Strong understanding of eCommerce and digital commerce architectures . Experience with MACH architecture and modern headless commerce concepts. Experience with guided buying and digital purchasing/procurement journeys. Experience with eCatalogue solutions and product/catalog management. Experience gathering, analyzing, documenting, and translating business requirements into technology solutions.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve Take the highest-value research workflows from experiments to reliable, production-grade jobs Improve the throughput, cost, and reliability of large-scale inference and scoring workloads Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time Minimum qualifications Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python Experience building and operating data-intensive or distributed systems in production Experience building tooling or infrastructure that other engineers or researchers use as a dependency Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems Ability to debug performance and correctness problems across an unfamiliar stack Strong written and verbal communication skills, and a collaborative approach to technical decisions Preferred qualifications Experience with high-performance, large-scale machine learning systems Familiarity with language modeling and transformers, including working with model internals Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization Experience building experiment tracking, caching layers, or evaluation harnesses for research teams Experience with probes, interpretability, or classifier development Interest in the misuse risks of AI systems and a desire to work on mitigating them 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own KPIs and dashboards end-to-end. Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery. Be a thought partner on measurement. Partner with stakeholders to define how success is measured across Garner's products and operations. Build scalable data pipelines. Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting. Develop deep domain expertise. Build a strong understanding of your analytical domain so you can independently drive meaningful insights. Close reporting gaps. Identify where coverage is missing and proactively develop new dashboards and insights to fill them. Raise the bar on data practices. Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams. Answer high-stakes, ambiguous questions. Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls. The ideal candidate has: 5+ years of experience in Data Analytics, Business Intelligence, or a similar data-centric role. Cross-functional translation. Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders. Autonomy and ownership. Comfortable working independently and owning reporting projects end-to-end. Automation mindset. Attention to detail with a bias toward automation and scalability over one-off work. AI Nativity. Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents. Making data accessible . A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool. Modern data stack. Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs. A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own KPIs and dashboards end-to-end. Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery. Be a thought partner on measurement. Partner with stakeholders to define how success is measured across Garner's products and operations. Build scalable data pipelines. Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting. Develop deep domain expertise. Build a strong understanding of your analytical domain so you can independently drive meaningful insights. Close reporting gaps. Identify where coverage is missing and proactively develop new dashboards and insights to fill them. Raise the bar on data practices. Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams. Answer high-stakes, ambiguous questions. Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls. The ideal candidate has: 3+ years of experience in Data Analytics, Business Intelligence, or a similar data-centric role. Cross-functional translation. Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders. Autonomy and ownership. Comfortable working independently and owning reporting projects end-to-end. Automation mindset. Attention to detail with a bias toward automation and scalability over one-off work. AI Nativity. Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents. Making data accessible . A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool. Modern data stack. Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs. A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $131,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote - US Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary We are looking for a Senior Salesforce Architect, reporting to the Sr Manager- AI & Platform Architecture, to design, deliver, and continuously improve our Product-to-Cash landscape on Salesforce. This is a coaching and mentoring–focused role: you will guide engineers and solution designers, raise architectural standards, and bring deep hands-on expertise in Revenue Cloud Advanced (RCA), the billing system, and the broader quote-to-cash lifecycle. Working in close partnership with other Architects, you will help solve complex business and technical challenges and ensure solutions are designed to best serve the evolving needs of the company. The ideal candidate pairs strong Salesforce architecture experience with an AI-first mindset, applying Agentforce and Claude-based solutions to solve problems, and the ability to identify and resolve process and technology gaps across the Product-to-Cash value chain, ensuring solutions align to their core business domains and to the enterprise taxonomy framework that underpins domain roadmaps and technology transformation. Key Responsibilities Serve as the architectural coach and mentor for engineers and solution designers across the Product-to-Cash domain, building team capability in Revenue Cloud Advanced and billing Partner closely with the Principal Salesforce Architect to align on architectural direction, solve complex business and technical challenges together, and ensure solutions are designed to best serve the evolving needs of the company Produce High-Level Designs (HLD), Low-Level Designs (LLD), and conceptual diagrams that clearly communicate architecture to technical and business audiences Manage architecture and system roadmaps, ensuring alignment with platform standards and the long-term direction of the Product-to-Cash landscape Define, maintain, and enforce platform standards across the Salesforce ecosystem Build Proof of Concepts (POCs) to prove out the architecture and validate design decisions before delivery Actively participate in requirement gathering, clarifying scope and resolving ambiguity early in the lifecycle Work with the integration team to design and govern integrations, ensuring seamless communication and data flow across systems Provide hands-on Revenue Cloud Advanced (RCA)/CPQ coaching, including configuration patterns, design trade-offs, and implementation best practices Own the end-to-end architecture of the Product-to-Cash lifecycle: quoting, contracting, ordering, fulfilment, billing, invoicing, revenue, customer success, and customer support Architect and govern the billing system and billing platform, ensuring accurate invoicing, billing schedules, payment handling, dunning, and revenue recognition flows Identify and resolve process gaps and technology gaps across Product-to-Cash, defining remediation approaches and driving them to resolution Apply an AI-first mindset to problem solving, leveraging Agentforce and Claude-based solutions where they add value Work with the development team to hand over designs cleanly, ensuring they have the context and clarity needed to build During project execution, work with SMEs and Product Owners to address any requirement gaps and shape the right solution Extend and mature the Product-to-Cash solution as business needs evolve, ensuring the architecture scales with new products, pricing models, and billing scenarios Translate business requirements into well-architected solutions that best leverage the Salesforce platform and Revenue Cloud Apply architectural and engineering concepts to meet operational requirements such as scalability, maintainability, security, reliability, extensibility, availability, and manageability Conduct research and develop Proof of Concepts on emerging Salesforce and billing capabilities, recommending solutions that are functionally robust and cost-effective Promote the adoption of design patterns and standard processes for solution design and development Partner with data and integration architects to ensure data integrity, security, compliance, and seamless data flow between billing, ERP, and other systems Work closely with solution architects to ensure individual solutions align with the overall enterprise architecture Contribute to a learning community within the enterprise architecture discipline, fostering continuous improvement Required Experience & Skills Bachelor's or master's degree in computer science, Information Technology, or a related field 10+ years of Salesforce experience across implementation, configuration, and solution design 3–5 years of Salesforce architecture experience (minimum required) Deep, hands-on expertise in Revenue Cloud Advanced (RCA)/ CPQ, with the ability to coach and mentor others on the platform Proven experience producing HLD, LLD, and conceptual diagrams, and managing architecture and system roadmaps Proven experience architecting and delivering end-to-end Product-to-Cash solutions: quoting, contracting, ordering, fulfilment, billing, revenue, customer success, and customer support Strong experience with billing systems and billing platforms, including invoicing, billing schedules, payments, dunning, and revenue recognition Experience working with integration teams to design and govern cross-system integrations Demonstrated ability to identify and resolve process gaps and technology gaps across the Product-to-Cash value chain An AI-first mindset, with exposure to Agent force and Claude-based solutions for solving business and technical problems Experience working with Salesforce Connected Apps (applications from the Salesforce AppExchange) Proven experience designing and delivering complex B2B SaaS Salesforce solutions Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps is a plus Strong understanding of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, and Revenue Cloud Strong leadership, coaching, and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders Salesforce certifications such as Salesforce Certified Application Architect or Salesforce Certified System Architect preferred Familiarity with enterprise architecture frameworks (TOGAF, C4, ArchiMate, etc.) Strong analytical, problem-solving, and communication skills Understanding of security architecture principles and practices #LI-AJ1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $144,300-$180,400 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Mississauga, Ontario Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary We are looking for a Senior Salesforce Architect, reporting to the Sr Manager- AI & Platform Architecture, to design, deliver, and continuously improve our Product-to-Cash landscape on Salesforce. This is a coaching and mentoring–focused role: you will guide engineers and solution designers, raise architectural standards, and bring deep hands-on expertise in Revenue Cloud Advanced (RCA), the billing system, and the broader quote-to-cash lifecycle. Working in close partnership with other Architects, you will help solve complex business and technical challenges and ensure solutions are designed to best serve the evolving needs of the company. The ideal candidate pairs strong Salesforce architecture experience with an AI-first mindset, applying Agentforce and Claude-based solutions to solve problems, and the ability to identify and resolve process and technology gaps across the Product-to-Cash value chain, ensuring solutions align to their core business domains and to the enterprise taxonomy framework that underpins domain roadmaps and technology transformation. Key Responsibilities Serve as the architectural coach and mentor for engineers and solution designers across the Product-to-Cash domain, building team capability in Revenue Cloud Advanced and billing Partner closely with the Principal Salesforce Architect to align on architectural direction, solve complex business and technical challenges together, and ensure solutions are designed to best serve the evolving needs of the company Produce High-Level Designs (HLD), Low-Level Designs (LLD), and conceptual diagrams that clearly communicate architecture to technical and business audiences Manage architecture and system roadmaps, ensuring alignment with platform standards and the long-term direction of the Product-to-Cash landscape Define, maintain, and enforce platform standards across the Salesforce ecosystem Build Proof of Concepts (POCs) to prove out the architecture and validate design decisions before delivery Actively participate in requirement gathering, clarifying scope and resolving ambiguity early in the lifecycle Work with the integration team to design and govern integrations, ensuring seamless communication and data flow across systems Provide hands-on Revenue Cloud Advanced (RCA)/CPQ coaching, including configuration patterns, design trade-offs, and implementation best practices Own the end-to-end architecture of the Product-to-Cash lifecycle: quoting, contracting, ordering, fulfilment, billing, invoicing, revenue, customer success, and customer support Architect and govern the billing system and billing platform, ensuring accurate invoicing, billing schedules, payment handling, dunning, and revenue recognition flows Identify and resolve process gaps and technology gaps across Product-to-Cash, defining remediation approaches and driving them to resolution Apply an AI-first mindset to problem solving, leveraging Agentforce and Claude-based solutions where they add value Work with the development team to hand over designs cleanly, ensuring they have the context and clarity needed to build During project execution, work with SMEs and Product Owners to address any requirement gaps and shape the right solution Extend and mature the Product-to-Cash solution as business needs evolve, ensuring the architecture scales with new products, pricing models, and billing scenarios Translate business requirements into well-architected solutions that best leverage the Salesforce platform and Revenue Cloud Apply architectural and engineering concepts to meet operational requirements such as scalability, maintainability, security, reliability, extensibility, availability, and manageability Conduct research and develop Proof of Concepts on emerging Salesforce and billing capabilities, recommending solutions that are functionally robust and cost-effective Promote the adoption of design patterns and standard processes for solution design and development Partner with data and integration architects to ensure data integrity, security, compliance, and seamless data flow between billing, ERP, and other systems Work closely with solution architects to ensure individual solutions align with the overall enterprise architecture Contribute to a learning community within the enterprise architecture discipline, fostering continuous improvement Required Experience & Skills Bachelor's or master's degree in computer science, Information Technology, or a related field 10+ years of Salesforce experience across implementation, configuration, and solution design 3–5 years of Salesforce architecture experience (minimum required) Deep, hands-on expertise in Revenue Cloud Advanced (RCA)/ CPQ, with the ability to coach and mentor others on the platform Proven experience producing HLD, LLD, and conceptual diagrams, and managing architecture and system roadmaps Proven experience architecting and delivering end-to-end Product-to-Cash solutions: quoting, contracting, ordering, fulfilment, billing, revenue, customer success, and customer support Strong experience with billing systems and billing platforms, including invoicing, billing schedules, payments, dunning, and revenue recognition Experience working with integration teams to design and govern cross-system integrations Demonstrated ability to identify and resolve process gaps and technology gaps across the Product-to-Cash value chain An AI-first mindset, with exposure to Agent force and Claude-based solutions for solving business and technical problems Experience working with Salesforce Connected Apps (applications from the Salesforce AppExchange) Proven experience designing and delivering complex B2B SaaS Salesforce solutions Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps is a plus Strong understanding of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, and Revenue Cloud Strong leadership, coaching, and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders Salesforce certifications such as Salesforce Certified Application Architect or Salesforce Certified System Architect preferred Familiarity with enterprise architecture frameworks (TOGAF, C4, ArchiMate, etc.) Strong analytical, problem-solving, and communication skills Understanding of security architecture principles and practices #LI-AJ1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $114,300-$142,900 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: London Workplace: OnSite 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. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems. KEY RESPONSIBILITIES - Lead projects and architecture design for multi-objective optimisation and scalable models. - Create custom loss functions, evaluation, and tuning frameworks that reflect complex business problems. - Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team. - Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems. - Mentor junior team members and utilise model explainability methods to drive feature performance improvements. ABOUT YOU - 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. - Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques. - Proven experience modelling complex interactions (e.g., cluster or network effects). - Expertise in model explainability to tune feature engineering and understand feature interactions. - Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders. - Proficient in leveraging LLMs for coding support and process optimisation to maximise personal and team productivity. - Adept at tuning technical communication for broad audiences. - Proven ability to build trusting relationships with product stakeholders and deeply understand business models. NICE TO HAVE - Experience with distributed general-purpose cluster-computing. - Proven experience designing and deploying recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments or similar domains. - Experience with Docker, AWS/GCP, and modern ML deployment practices. 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/