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Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire an Associate Product Trainer to support product adoption and utilization through comprehensive education for customers, partners, and employees. This role collaborates with Sales Leadership, Product Management, Product Marketing, and technical subject matter experts to ensure training effectively demonstrates how software features and functionality address business needs. The team's goals are to drive product utilization by educating the audience on iCapital’s software features and functionality, with an emphasis on how products can solve business needs. Responsibilities Coordinate and deliver structured, high-quality instructor-led onsite and virtual training sessions for customers, partners, and employees. Develop, update, and maintain job and product-specific training modules, programs, courses, certification materials, and curricula aligned with audience needs, business priorities, product lines, and current management strategies. Design, develop, and record product education content, including video and technical training materials, while maintaining training content within the Learning Management System (LMS). Communicate product functionality and translate complex technical concepts into clear, understandable terms, adapting technical information and training materials to support sales efforts and varying end-user needs. Partner with the Sales and Product Management teams to identify ongoing training needs, coordinate training schedules, and develop and deliver regularly scheduled training sessions. Monitor and document participant progress, skill levels, and competencies through observation and assessments while identifying opportunities to improve training programs and workforce processes. Establish evaluation methods and defined Key Performance Indicators (KPIs) to measure training effectiveness, product utilization, and end-user satisfaction following education and training. Serve as a central point of contact for training needs and identify opportunities to enhance training programs and processes. Support sales and marketing initiatives through travel, with the possibility of traveling up to 10% of the time. Qualifications 3+ years of corporate adult training experience, including proprietary software application training, instructional design for software applications, technical training, and adult learning theories and practices Experience working in the annuities or life insurance industry Strong verbal and written communication, training, presentation, and professional public-speaking skills, with experience delivering onsite and web-based training in ILT and vILT environments to individuals and groups with varying computer skills and educational levels Strong computer and software skills, including experience with virtual training and collaboration tools and LMS administration and maintenance Strong analytical and problem-solving skills, with the ability to quickly understand requirements, identify issues during software training, and develop timely solutions through education and training materials Strong work ethic and commitment to quality, with a disciplined, organized, and methodical approach to projects and tasks and strong attention to detail Able to work independently or collaboratively within a team environment Able to teach targeted skills and a strong commitment and drive to support participant success Willingness and ability to travel for business purposes up to 10%. Benefits The base salary range for this role is $75,000 to $90,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. This position can be based in either the greater Des Moines, IA, area or the greater Salt Lake City, UT, area. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Medellin, Colombia; Buenos Aires, Argentina; Mexico City, Mexico; Brasilia, Brazil On behalf of DataTech Client #1 , SD Solutions is looking for a talented Technical Project Manager to lead client implementations of a product, a Master Data Management (MDM) platform that runs inside each client's own Databricks workspace and cloud environment. You will own delivery from kickoff to go-live: planning the work, coordinating Frisco Analytics engineers with client data, security, and business teams, and keeping everyone clear on status, risks, and decisions. Because the platform is deployed in the client's environment, much of the work is shared with client teams, so clear and steady communication matters as much as technical fluency in this role. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Delivery and planning Run two to three concurrent product implementations end to end: scope, plan, schedule, budget, and go-live. Break each engagement into workstreams such as environment setup, source system onboarding, match tuning, data steward enablement, and production cutover. Track milestones, dependencies and resourcing, and fix slippage early rather than reporting it late. Manage scope and change requests through a clear, documented process. Client and stakeholder coordination Serve as the day-to-day point of contact for client sponsors, data owners, platform administrators, and business data stewards. Coordinate the work clients own in their own environment, such as Databricks workspace access, Unity Catalog permissions, and cloud infrastructure, so it lands on time. Facilitate decisions on match rules, confidence thresholds, and steward review workflows, and record who decided what and why. Lead steering committee meetings and executive readouts. Security and compliance support Work with Frisco Analytics and product teams to support client security reviews and due diligence questionnaires during onboarding. Ensure implementation team members follow the access, data handling, and confidentiality requirements that apply to client engagements. Route security incidents or concerns to the right owners promptly. Team leadership Coordinate a delivery team of data engineers and consultants without direct reporting authority. Run sprint ceremonies, stand-ups and retrospectives, and keep project tooling and documentation current. Capture lessons learned to improve Frisco Analytics' implementation playbook. How you'll communicate Strong communication is the core skill of this role. You will be the person clients and engineers rely on to know where things stand and what happens next. Translate between audiences. Explain entity matching, golden records, and access permissions to business sponsors in plain language and turn business needs into clear requirements for engineers. Write clearly. Produce concise status reports, RAID logs, decision records, meeting notes, and project plans that a busy executive can scan in two minutes. Run focused meetings. Set agendas, keep discussions on track, close with owners and dates, and send follow-ups the same day. Deliver hard news early. Raise risks, delays, and scope issues directly, with options and a recommendation, before they become surprises. Listen and ask good questions. Uncover unstated requirements, client constraints, and concerns from security and governance teams. Hold firm, kindly. Push back on scope creep and unrealistic dates while keeping the relationship strong. Present with confidence. Lead steering committees, demos, and executive readouts for client leadership. Requirements: 4 to 7 years of experience in project management, with at least 3 years managing client-facing technical or data projects. A track record of delivering data platform, data integration, analytics, or enterprise software implementations on time and within budget. Working knowledge of cloud data platforms (Databricks, Snowflake or similar) and at least one major cloud provider (AWS or Azure). Understanding of data concepts such as data quality, data governance, role-based access control, and handling of personal data (PII). Comfort with both Agile and Waterfall delivery, and the judgment to blend them for a client's needs. Excellent written and verbal English, with examples of client-facing reports, presentations, or executive updates you have owned. Experience with project tooling such as Jira, Confluence, Smartsheet, or MS Project. A bachelor's degree in computer science, information systems, engineering, business, or equivalent experience. Advantages: Experience implementing Master Data Management (MDM), entity resolution, or customer 360 solutions. Hands-on familiarity with Databricks Unity Catalog, Delta Lake, or Databricks workflows. Exposure to AI or machine learning features in enterprise software, including how to explain human review and auditability to clients. Experience supporting client security reviews, vendor due diligence, or compliance requirements such as SOC 2. A PMP, PMI-ACP, Certified ScrumMaster (CSM), or similar certification. Consulting or systems integrator background, working across several clients at once. About the company: A Databricks-native SaaS platform built to consolidate enterprise data into a single AI-ready layer. The product covers three domains: master data management (MDM), relationship graphs, and product information management (PIM) — all governed and deduplicated via LLMs and running natively on the Databricks Lakehouse. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Munich, Germany 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. Job Description About the role Join Anthropic's Customer Success team as an Munich based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across DACH helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. You'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key DACH customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of DACH customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) in region Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Fluency in German and English 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States of America Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A global technology leader specializing in search technology, digital advertising, cloud computing, and artificial intelligence. Delivering enterprise cloud infrastructure and software solutions, the organization builds scalable consumer and enterprise AI experiences. Today, the company leverages foundational AI models and advanced machine learning to power digital ecosystems for billions of global users. What You’ll Do Conduct formal, end-to-end written privacy reviews for products, features, research publications, data pipelines, and experimental prototypes Evaluate privacy risks and recommend practical safeguards aligned with internal standards and applicable global regulations Manage reviews from initial discovery and risk identification through remediation and final approval Provide strategic guidance and support the escalation of complex or high-risk privacy matters Maintain accurate, detailed, and audit-ready assessment documentation Assess the privacy implications of AI, machine learning, generative AI, and Large Language Model systems Evaluate data ingestion, prompt inputs, context windows, model outputs, training workflows, inference processes, and human-in-the-loop oversight Identify potential risks involving personal data, data leakage, memorization, secondary use, data retention, and inappropriate model outputs Recommend appropriate privacy controls for experimental and production AI systems Support the responsible development and launch of emerging AI capabilities Review technical design documents, Product Requirements Documents, Business Requirements Documents, system architecture diagrams, data-lineage documentation, and academic publications Identify privacy touchpoints, data dependencies, and potential gaps across product and data-processing lifecycles Translate privacy, legal, and compliance requirements into practical and actionable guidance for product and engineering teams Evaluate complex product scenarios in which requirements, risks, or ownership may not yet be clearly defined Partner with product managers, software engineers, data scientists, legal teams, and privacy stakeholders to incorporate privacy controls throughout the product lifecycle Evaluate controls relating to notice and consent, transparency, user choice, data portability, data minimization, access, and retention Review data-collection practices, consent flows, access controls, privacy policies, and user-facing privacy notices Help teams make informed product decisions that balance innovation, regulatory obligations, and user trust Identify gaps in existing privacy-review processes and recommend operational improvements Develop and refine privacy frameworks, standard operating procedures, guidelines, templates, and review criteria Support operational reporting and program-management activities across the privacy lifecycle Use custom tools and AI technologies to automate workflows, improve review efficiency, and optimize governance operations Help establish consistent and scalable privacy-review practices across research and innovation teams What You Bring Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses Product-focused privacy experience within technology, digital platforms, cloud services, AI, or similarly complex environments An active IAPP certification in at least one of the following: Artificial Intelligence Governance Professional, Certified Information Privacy Professional/United States, Certified Information Privacy Professional/Europe, Certified Information Privacy Manager Practical knowledge of AI and machine learning data-processing workflows, generative AI applications, and Large Language Models Understanding of privacy risks associated with model-training data, user inputs, inference processes, and model outputs Deep knowledge of privacy principles, including notice and consent, transparency, user choice, data portability, data minimization, and retention Knowledge of relevant privacy and AI regulatory frameworks, including GDPR, CCPA, and the EU AI Act Ability to interpret complex software-design documents, system architectures, data flows, and product requirements Experience managing multiple reviews and competing priorities under tight deadlines Strong judgment and the ability to make well-supported recommendations in ambiguous or rapidly evolving environments Exceptional written and verbal English communication skills Ability to translate legal and compliance requirements into clear, actionable technical guidance Strong stakeholder-management and influencing skills across product, engineering, legal, and governance teams Nice to have Familiarity with enterprise privacy-review, governance, and product-launch tools Experience supporting privacy governance for research, experimental products, or emerging technologies Experience working with cross-functional legal, ethics, privacy, product, and engineering governance bodies Experience automating privacy-review or governance workflows using AI or custom tooling A degree in Law, Computer Science, Data Governance, Information Security, or a related discipline Additional privacy, security, risk, or AI-governance certifications English level Advanced Work Type: Remote Location: United States Working Hours: Alignment with west coast US time zone Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $50–100/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs. Location Eligibility: This role is open to candidates residing in the United States. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us. Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice. Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place. Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: White Plains, New York Director, Business Intelligence & Reporting Position Overview The Director, Business Intelligence & Reporting, is responsible for leading the strategy, architecture, development, governance, and continuous improvement of enterprise reporting and analytics. This role serves as the organization’s subject matter expert for Microsoft Power BI and bridges complex data infrastructure with executive and operational decision-making. Working closely with Finance, Data Platform, Engineering, IT, Security, and business leaders, the Director will establish scalable reporting standards, consistent KPI definitions, trusted semantic models, and production-grade dashboards that deliver clear, actionable insights. The role will maintain continuity of critical reporting while helping transition manual and legacy reporting processes into a governed enterprise environment. It will also support the broader Enterprise Data Strategy by aligning dashboards, reporting logic, data-quality controls, and source-system reconciliation with the future-state data platform. Primary Responsibilities Enterprise Reporting Strategy & Architecture: Define and execute the enterprise roadmap for Power BI reporting and analytics. Partner with engineering and business teams to transition legacy reporting into scalable semantic models, governed data hubs, and reusable reporting assets. Business Intelligence Delivery: Own the design, development, maintenance, and continuous improvement of enterprise dashboards, recurring management reporting, and executive reporting across Finance, Sales, Operations, Product, and other business functions. Advanced Power BI Development: Architect and deliver complex, interactive Power BI reports and dashboards. Develop optimized DAX calculations and Power Query/M transformations and promote efficient performance across large, multi-source datasets Data Modeling & Integration: Partner with data engineers and cross-functional teams to integrate data from disparate enterprise systems. Design robust dimensional and star-schema models and define clear relationships between reporting outputs and underlying data sources. Reporting Transformation: Lead the transition from manual, spreadsheet-based, and legacy reporting processes toward repeatable, scalable, consistent, and well-documented reporting solutions while maintaining continuity of critical business reporting. Data Quality, Reconciliation & Validation: Establish controls to validate reporting outputs against source systems, agreed business definitions, formulas, and cutoff dates. Identify reporting exceptions and data inconsistencies and coordinate resolution with appropriate data and business owners. KPI & Metric Governance: Partner with stakeholders to establish consistent KPI definitions, calculation methodologies, ownership, lineage, and conflict-resolution processes. Maintain documentation for report logic, source systems, dependencies, and business use. BI Governance & Best Practices: Partner with IT and Security to establish Power BI workspace governance, access protocols, security standards, deployment practices, and performance monitoring. Standardize user experience, visual design, layout frameworks, and calculation conventions. Executive Advisory & Business Partnership: Serve as a strategic advisor to executives and department leaders. Translate high-level business questions into precise analytical requirements and decision-ready dashboards, reports, and insights. Enterprise Data Strategy Alignment: Represent the reporting and analytics workstream within the broader Enterprise Data Strategy. Partner with the Data Platform organization to determine which reporting assets should be retained, redesigned, consolidated, migrated, or retired. Team & Vendor Leadership: Provide technical direction and quality oversight to analysts, developers, consultants, and vendors supporting reporting and analytics. Establish development standards, conduct solution reviews, and promote knowledge transfer and documentation. Innovation & AI Enablement: Evaluate practical emerging capabilities, including AI-assisted analytics, Microsoft Copilot for Power BI, and advanced predictive features, in partnership with Data, IT, Security, and business stakeholders. Minimum Qualifications Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, Finance, or a related field, or equivalent professional experience. 8+ years of progressive experience in Business Intelligence, analytics, enterprise reporting, or advanced data visualization, including ownership of enterprise-scale Power BI solutions. Expert-level proficiency with Power BI Desktop and Power BI Service, including semantic models, DAX, Power Query/M, gateways, workspaces, security, deployment pipelines, and performance optimization. Advanced SQL proficiency and strong knowledge of dimensional modeling, star-schema design, data warehousing principles, and ETL/ELT concepts. Demonstrated experience reconciling reporting outputs to source-system data and establishing reporting validation and quality-control processes. Experience defining enterprise KPIs, metric standards, reporting governance, documentation, and data lineage expectations. Ability to translate complex business requirements and ambiguous questions into clear technical specifications and decision-useful reporting solutions. Strong executive communication, stakeholder management, analytical, problem-solving, and documentation skills. Experience partnering across Finance, Data, Engineering, IT, Security, Sales, Operations, and Product functions. Preferred Qualifications Experience with Microsoft Fabric or a comparable modern enterprise data platform. Experience modernizing or migrating legacy reporting environments and consolidating redundant dashboards and reports. Experience supporting financial, customer, sales, operational, and executive or Board-level reporting. Experience with enterprise data governance, master data management, data cataloging, or data lineage initiatives. Microsoft Certified: Power BI Data Analyst Associate (PL-300), Fabric Analytics Engineer Associate (DP-600), or comparable credentials. Compensation & Benefits $180,000 – $230,000 annual total compensation (commensurate with experience) Competitive Medical Health Plans, Low, Mid, High. Employer Paid Low Medical Plan for Employee & Dependents (HSA Eligible) Employer Paid Dental & Vision for Employee Employer Paid Life Insurance for Employee Employer Paid Long-term Disability for Employee Employer Paid Hospital Confinement for Employee ~ (If enrolled in Medical) + Voluntary Supplemental Insurance Coverage Options 20 days PTO & 7 Sick Days Annually 10 Fixed Paid Holidays Off Annually 401(k) Matching up to 3% About Us Rectangle Health, a leading financial technology company, empowers medical, dental and specialty practices with seamless and secure technology to drive revenue by increasing patient payments and streamlining practice management and payment processing. Since 1992, the company’s innovative solutions have reduced administrative burden and rebalanced the ledger for its thousands of healthcare providers in the U.S., reliably processing billions of dollars in payments annually. View our CCPA disclosure notice here

Location: Remote, Worldwide; Croatia; Serbia; Germany; Austria; Zurich, Switzerland Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Bosnian (Cyrillic) Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Bosnian (Cyrillic) What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Bosnian (Cyrillic) and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you. Job Reference: #LI-JC1

Location: Paris Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE AI agents don't run in browsers. They run in sandboxes — and you will build ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go and own the architecture and the hardest implementation decisions. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build storage on our cloud. Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you help decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks. Storage is a strategic bet for this org: the systems you build will define how a gigawatt of European compute stores its data. WHAT YOU WILL DO - Build the storage stack — block, file, object — for training, sandbox, and general compute workloads. - Design and write our own services in Go: S3-compatible APIs, tiering, backup and recovery, caching layers. - Own the data plane: allocation, duplication, tiering, backup and recovery. - Plan capacity across datacenters and across failure domains — petabytes, not terabytes. - Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs. WHAT WE'RE LOOKING FOR - You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window. - Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains. - You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us. - You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute. Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. WHAT YOU WILL DO - Design and ship the control plane. You own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. - Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am. - Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. - Raise the engineering bar through code review and knowledge sharing across the Cloud Platform org. WHAT WE'RE LOOKING FOR - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it. - You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on. - Extensive experience building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE A datacenter is not a cloud until software makes it one. You will build the software that turns arriving hardware into accepted clusters. Cabling validation, burn-in, firmware, deployment validation, software stack install — all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe. This is a hands-on engineering role at the intersection of hardware and software. Most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on. WHAT YOU WILL DO - Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install. - Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first. - Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery. - Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring. - Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments. WHAT WE'RE LOOKING FOR - You have automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it. - Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram. - 5+ years building backend or infrastructure systems. - Deep Linux: you are comfortable well below the application layer. - You have shipped production systems in Go. Not dabbled. Shipped. - Willing to travel to datacenter sites when the work demands it. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE You will build our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you build it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. WHAT YOU WILL DO - Build the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go and own the architecture and the hardest implementation decisions. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. WHAT WE'RE LOOKING FOR - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.   Why This Role Is Important To Arcadia The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes. You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped. What Success Looks Like In 3 Months Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team. Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions. Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact. Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs. In 6 Months Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence. Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting. Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context. Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions. In 12 Months Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike. Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health. Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability. Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements. What You'll Be Doing Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC. Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against. Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict. Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality. Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback. Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions. Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed. Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders. Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value. Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability. What You'll Bring Education Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience) Experience 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments. Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch. Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach. Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus. Technical Fluency Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions. Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability. Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms. Qualities & Skills Strong ownership mentality with a bias toward action and hands-on execution. Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary. Comfortable operating in ambiguity, breaking large problems into deliverable increments. Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders. Attention to detail and a commitment to clear, current documentation. Would Love For You To Have Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments. Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics. Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar). A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst. What You'll Get The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders. Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices. Be part of a mission-driven company transforming healthcare by changing the way patients receive care. A flexible, remote-friendly company with personality and heart. Employee-driven programs and initiatives for personal and professional development. Membership in the Arcadian and Barkadian community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

— Develop AI-based software solutions for the legal sector. — Automate complex legal workflows end-to-end.

Мы в поисках Data Analyst (Data Science) в команду Computer Vision. Отличное знание Python и ML-стека: pandas, numpy, scikit-learn, бустинги (CatBoost/LightGBM/XGBoost), SHAP;

Location: New York; New Jersey Workplace: hybrid Provectus is a Premier AWS partner and an Anthropic Preferred Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each rebuilds a critical business process front to back, shipped from working code. You'll learn the customer's job before you automate it. Most AI projects fail the same way: someone gathers requirements, someone writes a spec, and a team ships a workflow nobody uses. We think the requirements step is the bug. So we remove it. As an Associate Forward Deployed Engineer, you'll join each engagement paired with a Senior FDE. Together you'll spend time alongside the client to understand their workflow and business needs. Then you'll help rebuild that work from first principles, and write real production code for it. You won't start from zero: every engagement begins from a Blueprint that has already shipped for a customer in that industry, and what you learn in the field goes back into it. This role is for early-career engineers who want to learn how AI gets deployed in the real world — and who'd rather learn by building than by watching. What You'll Need: A degree in computer science, engineering or another STEM field 0–2 years of experience; internships, co-ops and research You built projects, where you integrated AI as a part of your SDLC (internship, research or hackathon entry) that you can walk us through in depth: what worked, what broke, and what you'd change Hands-on Claude Code basics Strong programming fundamentals in Python or TypeScript Curiosity and speed of learning — you pick up unfamiliar subjects quickly and ask good questions, especially about how real businesses work Good commication skills - ability to explain complex technical subjects to non-engineers Willingness to spend real time learning a client's job before you write code. It's the most unusual part of this role, and the most valuable Location & Work Arrangement: This role requires working on-site from our New York office 3 days per week Great If You Have: Cloud basics: AWS/Azure/GCP, containers, CI/CD AI/ML coursework or foundations Comfort with ambiguity — our engagements start open-ended by design Interest or coursework in financial services, insurance, healthcare or asset management Data pipelines or SQL; classical ML or MLOps (PyTorch, SageMaker, MLflow); infrastructure-as-code Open-source contributions, hackathon projects or public writing on applied AI Claude certification or AWS certification What You'll Learn: How to deploy LLM and agentic systems into regulated production — banks, insurers, health systems How to build evaluation harnesses: defining what "working" means, then measuring it Cloud delivery on AWS Claude Code in production, working toward Claude certification A real business domain — insurance underwriting, healthcare revenue cycle, asset management How to work with clients: their operators, engineers and executives Your first 90 days: Foundations — onboarding into our Blueprints, our delivery stack (Claude Code, AWS) and how we build evals, plus a primer on your first client's industry The seat — join an engagement with your senior FDE. Shadow the operator, then do the work yourself Your first piece — own a scoped part of a production system, with code review and your senior FDE beside you What You'll Do Take the seat — learn a client's function from the inside, and help redesign it alongside your senior FDE and the Forward Deployed Executive Build — ship production code for LLM applications, agentic workflows, and retrieval and extraction pipelines Build the evaluation harness before the feature — define what working means, then measure it Take systems to production on AWS, and feed what you learn back into the Blueprint Grow into ownership — your team is measured by the client's business results, not by hours. Drive adoption, because a system nobody uses hasn't shipped — and build credibility with the client's engineers and operators What you'll get: A senior FDE paired with you on every engagement, a named mentor accountable for your growth Regular feedback and a clear path to Forward Deployed Engineer Frontier delivery work across Cowork Activation, Agentic SDLC and Blueprint Activations in Financial Services and Healthcare Real production experience in regulated industries most early-career engineers never see Opportunity to work with cutting-edge AI and cloud solutions Full-time model Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Salary base range: $120-145k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. How We Hire Technical task — Complete a practical engineering task to demonstrate your programming fundamentals, problem-solving skills, and ability to work with AI-powered solutions. Intro conversation — Discuss your background, projects, and what you're looking for in your next role. Task discussion — Join a discussion about your approach to the task, what you'd build next, and how you'd evaluate whether it works. No LLMs are permitted during this session. Why we ask for a task We're growing and want to find the right fit. The task is a small investment of your time that gives you an opportunity to demonstrate your engineering skills, AI maturity, and ability to think independently. It also helps us verify that we're evaluating a real person rather than a bot. We're not using your work in our products or for client projects.

Location: Warsaw, Poland On behalf of FinTech Client #3 , SD Solutions is looking for a talented Backend Engineer This position offers a unique opportunity to work at the intersection of technology, compliance, and data. As a Senior BE Engineer , you will take ownership of ensuring the integrity of critical processes - such as Compliance Control, Due Diligence, Legal Automation, and more. You will be responsible for the full lifecycle of these systems, driving both architectural modernization and day-to-day stability. Your work will range from designing new automated capabilities to rigorously refactoring existing flows, deep-diving into complex logic to optimize alerts, and ensuring our production environment remains robust at scale. We are looking for someone who enjoys diversity, wants to understand the "business behind the code," and is eager to replace manual operations with sophisticated, event-driven automation. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Design & Build : Lead the design and implementation of backend systems and scalable microservices that ensure regulatory compliance and legal process automation (e.g., IVV, Due Diligence). Data Integrity & Scale : Work with large datasets and oversee complex data pipelines, ensuring absolute data integrity across critical financial systems. Drive Modernization : Lead engineering modernization efforts, including significant refactoring of legacy code and migration to a modern, distributed architecture to improve system resilience. Automation & Integration : Replace manual operations with event-driven automation (Kafka) and maintain robust integrations with third-party providers (Verdata, Salesforce, and more) to support business scale. Cross-Functional Collaboration : Collaborate closely with Legal, Compliance, and engineering teams to translate complex regulatory requirements into accurate, high-quality technical solutions. Requirements: 5+ years of experience in Software Development (Backend focused). Strong proficiency in Java or Kotlin in production environments. System Design : Experience in building scalable APIs, working with microservices, and understanding distributed systems. Experience with AWS and cloud-based infrastructure. Ownership Mindset : We don’t just resolve tickets; we look at the bigger picture, understand the business logic, and take responsibility for the quality of our delivery. Excellent problem-solving and system design skills. B.Sc. in Computer Science or equivalent practical experience. Fluent in English, both written and spoken. Advantages: Strong proficiency in SQL and experience working with relational databases . Python. Experience with Snowflake, Spark, or DBT . Experience with Event-Driven Architecture and Kafka . Background in Fintech , Banking , or regulatory environments . Experience with AI development tools like Cursor and Claude Code . About the company: A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Warsaw, Poland; Serbia; Romania On behalf of AdTech Client #1 , SD Solutions is looking for a Senior AI Engineer to join Gen AI team within the Apps Engineering Group in Tel Aviv. You will join a team that is developing Nexxen's next-generation Conversational Agents, designed for seamless integration across our platforms. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Develop and implement innovative AI-driven solutions to advance platform capabilities. Work closely with different stakeholders, including developers, product managers, and business operations, to align goals and outcomes. Lead the development of Conversational Agents, from concept design to production deployment. Explore and research advanced AI technologies and integrate with external APIs and services. Lead and mentor other developers, providing guidance and expertise on complex projects. Requirements: BSc in Computer Science or related degree. 6+ years of experience in building customer-facing full-stack applications. 2+ years of hands-on experience with Python- a must! Deep understanding of large language model (LLM) core concepts and usage, including prompting and reasoning strategies - a must! Proficiency with SQL and NoSQL databases Experience in designing agentic workflows- an advantage Experience with Node.js, particularly Nest.js Experience with Langchain or Langraph - an advantage Excellent spoken and written English skills. Proactive, collaborative mindset with a passion for impacting engineering teams, products, and customers. About the company: A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Singapore ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE We are looking for a hands-on Revenue Operations Manager to partner closely with APAC sales leadership, drive commercial planning and performance, and build a growing team focused on improving sales execution across the region. Based in Singapore, you will support a 100+ person GTM organization across Southeast Asia, ANZ, India, South Korea, and Japan. You will navigate the needs of markets at different stages of growth, balancing regional priorities with the development of consistent, scalable operating practices. As part of the global RevOps organization, you will work across analytics, systems, and operations to turn business insights and field feedback into improvements in sales execution and productivity. You will also help shape how we leverage AI and automation to simplify processes, reduce manual work, and enable our sales teams to move faster. KEY RESPONSIBILITIES 1. Partner with regional leadership on commercial strategy. Evaluate growth opportunities and business performance across APAC markets, translate regional objectives into quarterly priorities, and recommend where to focus sales resources and investments. 2. Own territory planning and execution. Lead territory design, rollout and ongoing management with Sales and global RevOps; align account allocation to market potential, seller capacity and ramp, and resolve coverage gaps. 3. Drive capacity and quota planning. Partner with Sales, Finance and RevOps on headcount, capacity and regional quotas; translate plans into territory targets and track attainment. 4. Shape regional pipeline targets. Partner with Sales and Marketing to establish pipeline creation and coverage targets, identify gaps across markets and segments, and develop targeted actions to improve pipeline health and conversion. 5. Run the regional operating cadence. Lead weekly, monthly and quarterly business reviews that produce decisions, owners and deadlines; track performance, escalate blockers and close out actions. 6. Strengthen forecast discipline. Challenge assumptions with sales leaders and managers, inspect changes and surface risks, slippage and upside early. 7. Improve productivity through AI and automation. Gather seller and leadership feedback, prioritize opportunities with GTM Systems, define requirements, pilot improvements and measure adoption, time saved and execution speed. 8. Deliver cross-functional change. Represent APAC in global initiatives, surface regional business needs to global teams, and coordinate implementation and adoption across Sales, Finance, Marketing, Enablement, and GTM Systems. MUST-HAVES - Experience leading and developing sales operations, revenue operations or commercial business partnership teams across the APAC region - A track record of translating analysis into action and measurable results. - Credibility with senior sales leaders and the ability to influence decisions without formal authority. - Strong commercial judgment across territories, capacity, quotas, pipeline, forecasting and seller productivity. - Experience delivering cross-functional improvements in a growing B2B technology business. - Ability to operate independently, prioritize competing business needs, and drive execution in a fast-paced, evolving organization. NICE-TO-HAVES - Experience supporting sales organizations across multiple APAC markets. - Experience building and scaling commercial operations in a high-growth organization. - Experience identifying and implementing process improvements through automation and AI. FOUNDATIONAL SKILLS - Analytical problem solving. - Clear communication and constructive challenge. - Prioritization, ownership and follow-through. - Coaching and delegation. - Process improvement and AI/automation judgment. WHAT SUCCESS LOOKS LIKE - Regional leaders have clear priorities backed by evidence and practical action plans. - Territories, capacity and quotas are aligned to regional opportunity and field realities. - Pipeline and performance gaps trigger timely interventions with measured outcomes. - Business reviews consistently produce decisions and completed follow-up. - Business partners earn leaders’ trust and operate with increasing independence. - Seller feedback leads to adopted process improvements that save time and accelerate execution. - Regional feedback improves global priorities, and global initiatives are used effectively in the field. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.