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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: 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.

Location: Istanbul Workplace: onsite Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.   In Türkiye we are not only represented as a global brand, but also as a local manufacturer. Our facility covers over 8,000 m² and produces millions of devices, representing a full range of Ajax products.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Responsibilities: Business Analysis & Process Design: Elicit, analyze, and formalize business requirements for warehouse logistics; design and document AS-IS and TO-BE processes. SAP EWM Configuration: Set up and maintain warehouse structures, storage types, storage bins, warehouse tasks/orders. RF & Mobile Operations & Scales: Configure and optimize Radio Frequency (RF) framework processes and mobile scanner workflows on the warehouse floor, manage resources. Master Data & Migration: Manage warehouse and product master data, prepare data migration templates, and oversee data load validation. Integration & Cross-Module Alignment: Ensure seamless integration between SAP EWM and connected modules/systems (S/4HANA, MM, SD, TM (ASR), MSF (DMC), manufacturing/shop-floor systems). Technical Collaboration: Author functional specifications and user stories for ABAP developers (enhancements, BAdIs, custom logic), write FDS and validate technical deliverables. Testing & Quality Assurance: Be an owner of a warehouse BPMN processes, be able to design test scenarios, execute integration testing, facilitate User Acceptance Testing (UAT), and manage defect resolution. Implementation & Hypercare: Drive EWM deployment phases: customizing, cutover readiness, go-live support, and hypercare. User Enablement & Support: Create user manuals, SOPs, and training materials; conduct training sessions for warehouse key users and operational teams. Good understanding ABAP - debugging/reading skills. Requirements: Experience: 4+ years of hands-on experience as an SAP EWM Consultant in implementation or warehouse automation projects. Domain Knowledge: Deep understanding of core warehouse processes: Inbound, Putaway, Picking, Packing, Outbound, Internal Movements, and Physical Inventory. System Expertise: Proven experience configuring SAP EWM structures, strategies, and RF mobile transactions. Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Supply Chain, Economics, or related fields. Language Proficiency: Upper-Intermediate or higher English proficiency (spoken and written) for cross-functional communication with international teams; fluent Turkish. Soft Skills: Strong analytical mindset, proactive problem solver, and excellent stakeholder management skills. Join Ajax Systems!

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to industrial organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturers, engineering groups, energy and utilities providers, and logistics and supply chain businesses. You'll leverage your consultative sales expertise in the industrial sector to propel revenue growth while becoming a trusted partner to industrial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across engineering, operations, supply chain, maintenance and field service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with industrial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the industrial sector. Navigate complex, often global, industrial organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to industrial procurement cycles, capex and opex budgeting, and supplier qualification processes to meet and exceed revenue quotas. Analyse industrial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within engineering and R&D, plant operations, supply chain and procurement, quality, maintenance, and field service. Collaborate cross-functionally to differentiate our offerings for industrial applications Navigate complex industrial stakeholder ecosystems including executives, operations and engineering leadership, IT and OT teams, digital transformation functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying industrial market needs. Provide insights that strengthen our value proposition for industrial clients Continuously refine the industrial sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within industrial organisations and securing strategic deals by understanding both technical requirements and industrial use cases Demonstrated ability to navigate large, multi-site industrial organisations and procurement processes, building consensus among diverse stakeholders including executives, operations and engineering leadership, and IT departments Extensive experience negotiating complex agreements within industrial procurement frameworks, including supplier onboarding, security and data governance reviews Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various industrial audiences, from plant and engineering managers to senior executives Deep understanding of industrial buying cycles, decision-making processes, and key pain points, including the regulatory, safety and sustainability pressures industrial businesses operate within A strategic, analytical approach to assessing the industrial market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for industrial use 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: £280,000 — £330,000 GBP 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to professional services firms across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with professional service firms, holding companies, law firms and advisory firms. You'll leverage your consultative sales expertise in the professional services sector to propel revenue growth while becoming a trusted partner to professional services stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in client delivery, research and analysis, and knowledge management. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with professional services decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the professional services sector. Navigate complex professional services firms to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to professional services procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse professional services market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within client delivery teams, creative and strategy functions, research and knowledge management, and business development. Collaborate cross-functionally to differentiate our offerings for professional services applications Navigate complex professional services stakeholder ecosystems including executives, partners and practice leaders, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying professional services market needs. Provide insights that strengthen our value proposition for professional services Continuously refine the professional services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B Enterprise sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within professional services firms and securing strategic deals by understanding both technical requirements and professional services use cases Demonstrated ability to navigate professional services organisational structures and procurement processes, building consensus among diverse stakeholders including executives, partners and practice leaders, and IT departments Extensive experience negotiating complex agreements within professional services procurement frameworks, vendor risk and third-party assurance policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various professional services audiences, from practice leads and delivery teams to senior partners Deep understanding of professional services buying cycles, decision-making processes, and key pain points, including the client confidentiality and regulatory obligations firms operate within A strategic, analytical approach to assessing the professional services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for professional services use 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: £280,000 — £330,000 GBP 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.

Scala Engineer is responsible for building and optimizing high-performance backend systems that power the data-driven applications. In this role, you will work with modern streaming technologies, distributed processing frameworks, and cloud-native architectures to deliver scalable, reliable, and high-availability solutions.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. As a Senior Data Engineer at Phantom, you’ll help build and scale the foundation that powers analytics, experimentation, and decision-making across the company. You’ll work on complex onchain data problems that few companies in crypto can tackle: joining a lean, high-impact team that directly drives product growth and user trust. You’ll collaborate with Data Science, Product, and Engineering to design scalable data systems that bring together blockchain data, product analytics, and marketing integrations: enabling the entire company to move faster and with confidence. RESPONSIBILITIES - Architecture & Scale: Design and implement robust data architecture capable of handling 100s of TBs with 10x growth trajectory while maintaining performance and reliability - Data Quality Leadership: Drive data quality initiatives across the organization, implementing observability and monitoring solutions to ensure data accuracy, freshness, and reliability - Data Modeling Excellence: Lead sophisticated data modeling efforts to support exponential business growth, ensuring scalability and performance - Experimentation Infrastructure: Build and scale A/B testing frameworks to enable data-driven decision making across the organization - Cross-functional Partnership: Collaborate with stakeholders to translate complex business requirements into scalable data solutions - Technical Leadership: Mentor teams on data best practices and drive adoption of data-driven methodologies QUALIFICATIONS - 5+ years of extensive experience building and scaling data infrastructure in high-growth environments - Proven experience in startup environments with track record of wearing multiple hats and driving initiatives independently - Deep expertise in modern data stack tools, particularly Snowflake and dbt - Strong background in data modeling, schema design, and data architecture at scale - Demonstrated experience implementing data quality frameworks and observability solutions - Experience building and scaling experimentation (A/B testing) infrastructure - Expert-level SQL skills and proficiency in Python - Track record of successfully managing data infrastructure during periods of explosive growth PREFERRED QUALIFICATIONS - Experience with our tech stack: Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, Eppo - Experience with blockchain or cryptocurrencies - History of improving dashboard performance and query optimization at scale - Experience implementing data cataloging and metadata management solutions This ideal candidate will be a seasoned data professional who can architect solutions for our next phase of growth while maintaining the highest standards of data quality and performance, thriving in a lean two-person data team where resourcefulness and ability to prioritize high-impact work is essential. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Paris Workplace: Hybrid 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. Our mission Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements. Operating context & accountability Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce. Technical assurance and operational risk - Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios. - Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope. - Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability. - Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria. - Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures. - Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected. Incident response, investigations and reliability - Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options. - Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service. - Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors. - Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed. - Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams. - Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures. Capacity delivery, commissioning and change control - Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early. - Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria. - Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover. - Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies. - Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable. - Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands. Success measures - Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives. - High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation. - Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions. - New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements. - Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time. Minimum qualifications - 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments. - Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection). - Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses. - Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority. - Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed. Preferred experience - Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads. - Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management. - Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization. - Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion. 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: Indianapolis, United States; Ohio City, United States; Chicago, United States Description Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Role purpose Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts. Position overview You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver  interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty. The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians. Key responsibilities Digital-twin development and validation ·   Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data. ·   Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs. ·   Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision. ·   Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies. ·   Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas. Clinical trial design and quantitative decision support ·   Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs. ·   Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making. ·   Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives. ·   Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders. Data integration and scientific collaboration ·   Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data. ·   Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines. ·   Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development. Model quality and responsible use ·   Define the intended use, decision context, success criteria, and limitations of each model before development. ·   Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use. ·   Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs. ·   Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability. Requirements ·   PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field. ·   Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models. ·   Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data. ·   Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows. ·   Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts. ·   Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians. ·   Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration. Preferred qualifications ·   Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence. ·   Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria. ·   Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls. ·   Experience with clinical data standards and common clinical-development data sources. ·   Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities. ·   Experience with scalable cloud-based analytical environments. ·   Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience to support projects focused on training and benchmarking next-generation AI systems. You will design, evaluate, and improve biological data analysis workflows, validate computational methods, and assess AI-generated scientific outputs for accuracy and reproducibility. Working across areas such as genomics, transcriptomics, proteomics, computational biology, and biostatistics, you will apply rigorous scientific reasoning to real biological datasets and communicate findings clearly to technical and scientific collaborators. Prior AI experience is not required; deep domain expertise and hands-on computational research skills are the priority. SENIORITY: PhD-Level Research Specialist / Experienced Researcher LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility. Assess and optimize pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures. Validate computational approaches and provide actionable recommendations to improve scientific reliability. Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools. Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer. Communicate complex scientific concepts clearly to both technical and non-technical stakeholders. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Genomics and next-generation sequencing (NGS) analysis Transcriptomics and single-cell analysis Proteomics and structural biology Molecular and cell biology Systems biology and biological network analysis Drug discovery and computational pharmacology Biostatistics and machine learning applied to biology Requirements PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience. Professional written and spoken English proficiency at C1 level or higher. Deep expertise in at least one relevant biological or computational research area. Hands-on experience analyzing real biological datasets. Proficiency in Python and/or R for scientific analysis. Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization. Strong statistical, quantitative, analytical, and scientific reasoning skills. Excellent written and verbal communication skills, including the ability to explain technical methods and document results. Demonstrated ability to solve complex biological or computational problems rigorously.

Location: Netherlands; Germany; Sweden; Switzerland; New Zealand; Spain About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: United States; Saudi Arabia; Canada; United Kingdom; Australia; Ireland About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Serbia; Croatia; Greece; Malaysia; Morocco; South Africa About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Brazil; Mexico; Argentina; Colombia; Poland; Romania About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Project Manager – Workplace Services to lead and coordinate IT workplace initiatives, strengthen service governance, and ensure the successful delivery of projects within a dynamic international environment. The ideal candidate is a highly organized, proactive professional with strong project delivery experience, excellent stakeholder management skills, and the ability to drive cross-functional initiatives while ensuring alignment with business objectives and operational requirements. Responsibilities Lead and coordinate IT workplace projects, including end-user computing, device lifecycle management, workplace technologies, and related IT services. Establish and maintain structured Workplace Services governance, ensuring clear ownership, defined processes, and alignment with organizational standards. Coordinate internal teams, external vendors, and service providers to ensure effective collaboration and successful project execution. Manage project plans, milestones, risks, dependencies, and escalations, driving accountability and timely resolution of delivery challenges. Ensure consistent communication, reporting, and alignment across technical teams, service owners, business stakeholders, and senior management. Ensure project activities follow established change management procedures, documentation standards, and applicable compliance requirements. Requirements Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field. Extensive experience in IT project management, preferably within Workplace Services, End-User Computing (EUC), or enterprise IT environments. Proven track record of successfully delivering complex, cross-functional IT workplace projects in international organizations. Solid understanding of modern workplace technologies, endpoint management, device lifecycle processes, and IT service delivery. Experience coordinating internal technical teams, external vendors, and managed service providers. Strong knowledge of project management methodologies, governance frameworks, and IT service management principles. Experience working in complex, process-driven environments with strong governance, quality, and compliance standards is considered an advantage. Excellent stakeholder management, communication, negotiation, and organizational skills. Ability to manage multiple priorities, drive accountability, and work independently in a fast-paced environment. Fluency in English, both written and spoken. PMP, PRINCE2, or equivalent project management certification is considered an advantage. Valid criminal record extract, not older than three months, required. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Project Manager – Network Services to lead and coordinate IT infrastructure and network-related projects within a dynamic international environment. The ideal candidate is a highly organized, proactive professional with strong project delivery experience, excellent stakeholder management skills, and the ability to drive complex initiatives while ensuring alignment with business objectives and operational requirements. Responsibilities Lead and coordinate network infrastructure and connectivity-related projects, ensuring delivery within agreed scope, timelines, and quality standards. Establish and maintain structured Network Services governance, ensuring clear ownership, defined processes, and alignment with organizational standards. Coordinate internal teams, external vendors, and service providers to ensure effective collaboration and project execution. Manage project plans, milestones, risks, dependencies, and escalations, driving accountability and timely resolution of delivery challenges. Ensure consistent communication and reporting across technical teams, service owners, and senior stakeholders. Ensure project activities follow established change management procedures, documentation standards, and applicable compliance requirements. Requirements Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field. Extensive experience in IT project management, preferably within network infrastructure, connectivity, or enterprise IT services. Proven track record of successfully delivering complex, cross-functional IT infrastructure projects in international environments. Solid understanding of enterprise networking concepts, network services, and IT infrastructure operations. Experience coordinating internal technical teams, external vendors, and managed service providers. Strong knowledge of project management methodologies, governance frameworks, and IT service management principles. Experience working in complex, process-driven environments with strong governance, quality, and compliance standards is considered an advantage. Excellent stakeholder management, communication, negotiation, and organizational skills. Ability to manage multiple priorities, drive accountability, and work independently in a fast-paced environment. Fluency in English, both written and spoken. PMP, PRINCE2, or equivalent project management certification is considered an advantage. Valid criminal record extract, not older than three months, required. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?