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Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, England, United Kingdom; Dubai Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As Head of Financial Crime Product, you will set the strategy and own the roadmap for the products behind our financial crime controls, from onboarding and screening to monitoring and case management. You will lead a team of Product Owners and work closely with Operations, Compliance and Engineering to decide what gets built, why, and how well it performs once live.     This is a new position based in Dubai or London, reporting directly to the VP, Financial Crime. Responsabilities Strategy and roadmap. Set the financial crime product strategy. Build financial crime controls, own the product roadmap, agree delivery priorities and capacity with Engineering, and be responsible for the outcomes. Leadership. Lead and develop Financial Crime Product Owners. Establish clear ownership of product areas and help the team make sound decisions through research, data analysis and a close understanding of operational work. Prioritisation. Prioritise improvements with Operations, Compliance and Engineering. Examine the underlying problem, assess alternative solutions and make trade-offs explicit when risk, customer impact and delivery effort point to different choices. Control design. Translate control requirements into product designs and acceptance criteria with the relevant control owners. Work with Engineering on feasibility and delivery, maintaining a clear distinction between product decisions and technical implementation. Customer journey. Improve how financial crime capabilities connect across the customer journey. Address gaps in data quality, case information and handovers so customers avoid unnecessary repetition and operational teams can make well-informed decisions. Build or buy. Assess opportunities to build or buy capabilities with Engineering and relevant partner teams. Evaluate functionality, integration needs and ongoing costs, and set clear expectations for the performance of external products. Automation and AI. Lead product discovery and delivery for automation and AI applications. Agree evaluation methods, acceptance criteria and human oversight with the appropriate owners, and assess performance after deployment. New products and markets. Prepare capabilities for new products and markets with Operations, Compliance and local leaders. Make dependencies and readiness gaps visible, and coordinate releases, training and adoption with the teams who will use them. Performance after launch. Measure product performance after launch using control results, operational evidence and customer experience. Use findings to improve the roadmap and address features that create additional effort or fail to deliver their intended benefit. Requirements Significant product management experience in financial crime, regtech or compliance technology, including leading other product managers or product owners. Strong working knowledge of financial crime controls: customer due diligence and KYC, sanctions and PEP screening, transaction monitoring, fraud prevention and case management. Understanding of AML and counter-terrorist financing requirements across several jurisdictions, such as the UK Money Laundering Regulations, the EU AML Directives and their equivalents in Australia, the UAE and the Bahamas, and how they translate into product requirements. A track record of owning a roadmap and delivering with Engineering, writing clear requirements and acceptance criteria, and keeping product decisions separate from technical design. Experience making build-or-buy decisions and managing third-party vendors, including integration, cost and performance expectations. Hands-on experience delivering automation or machine learning in a regulated setting, with defined evaluation methods, human oversight and post-deployment monitoring. Comfort using data to find problems and measure results, for example alert volumes, false positive rates, case handling times and customer drop-off. Clear communication with senior stakeholders in Compliance, Operations and Engineering, and the judgement to make trade-offs between risk, customer impact and delivery effort visible. Nice to have Experience in online brokerage, trading platforms, payments or digital banking. Familiarity with financial crime vendors and tools for screening, identity verification, transaction monitoring or case management. Experience launching products or entering new markets under different regulators. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

As Head of Product you own product direction and priorities for the cloud platform: which problems deserve our attention, what success looks like, and what we should stop doing.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on. As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers. Responsibilities: Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation. Own every architectural decision for the AI platform, and document, justify, and stand behind each one. Evaluate and select new models, tools, and frameworks as the market moves. Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure. Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards. Own technical relationships with Anthropic and OpenAI at the enterprise level. Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms). Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources. Design and secure MCP servers and gateways connecting AI agents to internal services. Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants. Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role. Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA. Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers. Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently. Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes. Report AI platform status, risks, and roadmap to Technology leadership Requirements: 8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs. Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you. Production-grade Python: tooling that others depend on, not scripts you hand off. Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning. Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services. n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale. Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production. Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring. Hands-on DevOps capability to deploy and run what you build. Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders. Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS. Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator. Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF. Nice to have: Fintech, brokerage, or financial services background. DORA or ISO 27001:2022 knowledge as it applies to AI system risk. Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001. LLM orchestration frameworks: LangChain, LlamaIndex, or similar. Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools. Experience building internal developer platforms or AI centres of excellence. AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent. Grow with Capital.com and help shape how millions of people access the markets.

Location: Valencia Workplace: Hybrid ROLE HIGHLIGHTS:   Title: Supply Chain Intern Department: Global Supply Chain - Valencia Office Location: Valencia, Spain Type of Contract: Internship, with opportunity to transition to a permanent position Working model: On-site Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters As an R&D Supply Chain Intern, you help keep an aerospace R&D project in Valencia supplied with the parts, materials and services it needs to move forward. In a supply chain built around specialised components, long lead times and a limited supplier base, every RFQ sent on time and every delay caught early protects the project schedule. This is a real seat on a real programme, not a shadowing exercise. You will learn how flight-grade hardware actually gets sourced, from engineering requirement to delivered part, with experienced colleagues alongside you. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Support the sourcing of components, parts and services across our supplier base, working alongside engineering, production and procurement - Help translate engineering requirements into RFQs and supplier evaluations, learning how technical specifications become commercial decisions - Monitor deliveries, follow up with suppliers on delays, and keep the team updated on order status - Help spot supply risks early, including long lead times, single sources and obsolescence, and support the search for alternatives - Support the R&D project in Valencia as needs and requirements change, adapting quickly alongside the team What we’re looking for Must haves: - Currently studying, or recently graduated in, engineering (aerospace, industrial, mechanical or similar), supply chain, or business with a genuine technical interest - Basic familiarity with engineering and manufacturing processes, ideally in aerospace (coursework, projects or student teams count) - Comfortable reading technical documents such as drawings, specifications and datasheets - More drawn to coordination and management (planning, follow-up, working with suppliers and teams) than to hands-on technical design - Able to work under pressure and adapt when priorities and requirements shift - Fluent English and Spanish, spoken and written - Eligible for an internship agreement (convenio de prácticas) with a university or training institution Nice to haves: - Experience working with local suppliers in Valencia - Some exposure to RFQs, supplier selection, ERP tools or Excel-based tracking - Comfortable in a production plant environment and keen to work hand in hand with production and engineering teams - Curiosity about how complex hardware gets built and bought, and the appetite to ask why Application Process - Talent Acquisition Interview - Technical Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

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 Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect. You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives. Responsibilities Manage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development Set goals and run performance reviews that drive growth and output Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including: use case scoping building technical champions running POCs Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI Guide customers through EMEA-specific technical and procurement requirements, including GDPR, the EU AI Act, and data residency Align cross-functional stakeholders across time zones and regions to drive business outcomes Travel regularly across EMEA for executive sessions, technical workshops, and relationship building Lead the vision and execution of solutions that use our latest models for tech-forward use cases Represent Anthropic in the European tech community through conferences, meetups, webinars, and technical content Stay current on AI/ML developments and the competitive landscape in the European tech sector You may be a good fit if you have 7+ years of experience as a Solutions Architect, Sales Engineer, or in a similar pre-sales technical role 3+ years of experience managing pre-sales or technical GTM teams, ideally across multiple EMEA markets Experience selling to and working with digital-native companies, such as vertical or horizontal SaaS, consumer tech, fintech, PaaS, or developer platforms Familiarity with how European tech companies evaluate and procure technology, including security reviews, DPAs, and regulatory scrutiny Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture Hands-on experience with prompt engineering and LLM evaluation, plus working knowledge of how large language models are built and operate A strong grasp of developer tooling, SDKs, and the integration patterns common in modern software companies Enjoyment of building foundational teams in unstructured, fast-moving environments Strong executive presence and the ability to build deep trust with CTOs, engineering leaders, and technical founders Excellent communication, collaboration, and coaching skills The ability to make ambiguous problems clear and find principles that carry across scenarios A passion for making powerful technology safe and beneficial, with a habit of thinking beyond past checklists and playbooks 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: £190,000 — £230,000 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.

— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As Finance Operations Lead, you’ll own the core finance workflows that keep Humanoid running smoothly, from supplier invoices and payments through customer billing, transaction coding and categorisation, reconciliations and the general ledger. A key part of the role is ensuring financial activity is captured completely and accurately in the ledger. You’ll establish clear coding standards and processes, and make sure transactions are classified consistently and supported by reliable source data. You’ll also help build a best-in-class finance technology stack for a fast-growing, global business. You’ll lead the implementation and optimisation of finance systems and tools, and identify ways to use AI and automation to make processes faster, more accurate and easier to use. This includes accounting and ERP platforms, Ramp, modern banking tools and AI-enabled workflows. You’ll work closely with the Financial Controller and FP&A Lead, and partner with our dedicated Supply Chain and Procurement teams to ensure purchasing activity flows into finance accurately and efficiently. This is a hands-on role for someone who enjoys both delivering the work and transforming how it gets done. What You’ll Do OWN FINANCE OPERATIONS AND LEDGER INTEGRITY - Oversee accounts payable, including invoice processing, coding, categorisation, approvals, supplier queries, payment runs and reconciliation. - Manage accounts receivable, including customer billing, cash application, transaction coding and collections. - Ensure transactions are recorded completely, accurately and consistently in the ledger, with appropriate supporting documentation and coding. - Maintain and improve the chart of accounts, coding guidance and transaction categorisation across entities, currencies, departments and relevant business dimensions. - Review ledger postings and investigate miscoded, incomplete or unusual transactions, working with the relevant teams to resolve issues at source. - Coordinate with Supply Chain and Procurement on the finance elements of procure-to-pay, including approval controls, purchase order and invoice matching, and accurate recording of commitments and spend. - Coordinate vendor payments and cash operations across entities, currencies and banking platforms. - Manage key balance sheet reconciliations, journals, accruals and other month-end close activities. - Help ensure finance operations run reliably, with clear ownership, appropriate controls and minimal avoidable manual work. BUILD A BEST-IN-CLASS FINANCE TECH STACK - Lead the implementation and optimisation of finance tools, including ERP and accounting software, expense and payment platforms, modern banking tools and workflow automation. - Help design an integrated finance technology stack that meets the needs of a scaling, multi-entity business, using tools such as Ramp and accounting platforms such as Xero or NetSuite. - Improve the flow of transaction data from source systems into the ledger, reducing duplicate handling, manual entry and coding errors. - Identify and deliver opportunities to automate repetitive finance work and improve the speed and accuracy of transaction processing. - Evaluate and apply AI-enabled tools, including Claude, to practical finance workflows such as information processing, analysis, documentation and process support. - Work with Supply Chain, Procurement, engineering and operations to improve the quality and consistency of financial data. - Establish appropriate controls, governance and documentation as new tools and automation are introduced. - Document finance processes and provide practical guidance so teams understand how to use them. SUPPORT REPORTING AND COMPLIANCE - Provide accurate, timely finance data to support reporting on actuals, cash, burn, vendor spend and other operating costs. - Maintain clear visibility over cost centres, contracts, recurring expenses and supplier commitments. - Prepare documentation and data for audit, statutory filings and compliance reporting. - Maintain supporting reconciliations and schedules, and coordinate information requests with external auditors and advisers. - Support VAT, and indirect tax obligations globally. - Work with FP&A to reconcile actual results against budgets and forecasts and investigate material differences. PARTNER ACROSS THE BUSINESS - Be the first point of contact for day-to-day finance operations questions. - Help teams navigate invoicing, expenses, payment and accounting processes, including the information needed for accurate transaction coding. - Partner with Supply Chain and Procurement to establish effective handoffs between purchasing activity and finance. - Support cost control and spend governance through accurate, timely financial information. - Build strong working relationships across finance, procurement, engineering, supply chain, people and product. We’re Looking For - 7+ years’ experience in finance operations, accounts payable, accounting or financial control. - Strong practical knowledge of accounts payable and receivable, transaction coding, ledger management, reconciliations and month-end close. - Experience managing transactions from source documentation through coding, approval, payment or collection, and accurate ledger posting. - Experience working with or supporting procure-to-pay processes in partnership with procurement or supply chain teams. - Experience implementing or improving finance systems, workflows and automation in a growing business. - Interest in building a modern, well-integrated finance technology stack and applying AI and automation to real operational problems. - Confidence working with accounting or ERP systems, expense tools and online banking platforms. - Strong attention to detail and a clear sense of ownership over the accuracy and completeness of financial records. - A practical, service-oriented approach to helping teams follow finance processes. - The ability to work independently while collaborating across functions and seniority levels. Bonus Points - Experience with Ramp, Xero, NetSuite or similar finance platforms. - Experience with modern banking platforms and multi-entity, multi-currency operations. - Experience using AI tools such as Claude or automation platforms in finance workflows. - Experience in a hardware, manufacturing, robotics or other product-led business. - Familiarity with UK, US, Germany or Canadian VAT and indirect tax obligations. - Background in audit, compliance or internal controls. - Experience in a venture-backed or globally distributed company. What We Offer - Competitive salary plus participation in our Stock Option Plan - Paid vacation with adjustments based on your location to comply with local labor laws - Travel opportunities to our Vancouver and Boston offices - Office perks: free breakfasts, lunches, snacks, and regular team events - Freedom to influence the product and own key initiatives - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics - Startup culture prioritising speed, transparency, and minimal bureaucracy

Location: Paris; Warsaw; London 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. As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on. Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production. This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users. WHAT YOU WILL DO - Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models. - Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents. - Run Orchestral as a production system: keep training and evaluation workloads reliable at scale. - Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling. - Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling. - Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation. - Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform. WHAT WE'RE LOOKING FOR - Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability. - Strong Python skills and solid software-design instincts: testing, code review, CI/CD. - A builder mindset: you have constructed systems from the ground up, not just operated polished ones. - A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech. - Self-starter, low-ego and collaborative, with a product mindset toward your users. - Curiosity about ML and RL — this experience is not required, but a desire to learn is. NICE-TO-HAVES - Hands-on experience with Ray or similar distributed-computing frameworks. - Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL. - Experience building or working with agentic workflows and environments. 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.

Mirage is looking for a Software Engineer Agents to build and deploy reliable agentic systems for creative video workflows.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE As an Associate in Strategic Finance, you'll focus on turning financial and commercial data into clear insight - enabling leadership to deeply understand our business and the drivers of performance. You’ll partner with Data Engineering, Finance and cross-functional stakeholders, and build analytical workflows to support fast and data-driven decision-making. WHAT YOU’LL BE DOING - Analyse commercial and business performance - evaluating the full P&L and measuring ROI in order to help the business assess where it is creating value. - Translate ambiguous requests from leadership, Finance and cross-functional stakeholders into clear, decision-ready insights. - Craft executive-style deliverables, which may include decks, models, written documents or AI-powered apps. - Leverage AI tooling as a force multiplier to build and automate reusable analytical workflows that enable your stakeholders to quickly understand performance. - Drive continuous reporting improvements, standardisation, and simplification whilst documenting definitions and limitations - leaving no room for approximation. - Collaborate directly with Data Engineering and Data Science to support the development and enhancement of our core financial data models, and the context layer that enables AI agents to leverage that data. - You will be empowered to work directly with Finance and Data partners to scope requirements and deliver initiatives end-to-end. WHAT WE LOOK FOR ESSENTIAL CRITERIA - You’ll have 3+ years of relevant experience in data-driven and analytical roles, and hold a bachelor’s or master’s degree in a quantitative or business discipline. - Strong analytical thinking: you’re comfortable working with numbers, identifying the underlying patterns and drawing sound conclusions. - Excellent verbal and written communication skills: you have the ability to adjust your style to suit different perspectives and seniority levels. - Commercial curiosity: you want to dive into the details to understand how merchant, product, and commercial dynamics affect financial performance. - Confidence with data tools: You have strong spreadsheet skills and experience with BI tooling and data platforms, or demonstrate a clear aptitude and willingness to learn. Python and SQL experience is a plus. - Exceptional attention to detail: you rigorously validate data, pressure-test assumptions, and transparently communicate analytical limitations. - You’ve used AI hands-on in a business environment to create new tooling or workflows. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Maven is looking for a Director of Marketing Operations who will own the systems, data, and reporting infrastructure behind our B2B Growth Marketing team — from HubSpot/Salesforce instrumentation to pipeline attribution to the budget that funds it all. Marketing Technology, Data & Attribution.

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. An Analyst II within the Risk Monitoring Team is responsible for independently managing high-priority and complex investigations in line with relevant policies and processes, supporting the risk assessment and monitoring of our global e-commerce merchants’ portfolio. In this role, you will review alerts generated by our in-house monitoring tools, conduct detailed quantitative and qualitative analyses, exercise sound risk-based judgement, and make informed decisions and well-reasoned recommendations. You will liaise with internal and external stakeholders, clearly communicate the results of your findings, and accurately document investigations in our case management tool. Through your reviews, you will identify potentially fraudulent or high-risk merchants, as well as genuine merchants who may be victims of fraud, and recommend appropriate actions to mitigate risk in both scenarios. What your responsibilities will be: - Demonstrate a proficient understanding of acquiring risk and maintain an in-depth working knowledge of card schemes’ rules. - Conduct comprehensive background checks on merchants and perform in-depth analysis and risk investigations using multiple internal and external resources, with a focus on high-priority and complex cases. - Complete complex tasks and milestones within tactical initiatives, special projects, and process-improvement activities. - Assist with quality assurance and mentor Analyst I colleagues by providing guidance and support, particularly on complex investigations. - Educate merchants and relevant stakeholders on fraud and dispute-management practices to support effective risk mitigation. - Create and communicate clear reports to relevant stakeholders on merchant risk concerns, investigation outcomes, and recommended actions. - Use AI tools effectively and responsibly to support research, analysis, documentation, and operational efficiency, while applying appropriate human judgement and oversight. - Suggest innovative ideas and provide feedback to enhance processes, controls, tools, and infrastructure, striving for continuous improvement in risk-monitoring operations. What you will need to be successful (skills and competencies) - Bachelor’s degree, preferably in Risk, Management, Finance, Business, Mathematics, Economics, or a related field, with a minimum of three years of experience in a similar role. - Demonstrable knowledge or experience in the payment processing industry, e-commerce, acquiring risk, fraud and dispute management, and card schemes’ rules. - Proficient in managing structured processes and consistently identifying opportunities to streamline approaches and improve operational efficiency. - Exceptional analytical, critical-thinking, problem-solving, and decision-making skills, with the ability to make informed, risk-based decisions in complex and time-sensitive situations. - Skilled at working collaboratively and communicating effectively, with the ability to positively influence stakeholders across various departments. - Capable of adapting to fast-paced and agile settings while managing demanding timelines, priorities, and schedules. - Proficient in English; additional fluency in French is a plus. - Demonstrates acute attention to detail, strong organisational skills, and effective time management. - Strong mentoring and training abilities, with the confidence to guide and support less experienced analysts. - AI fluent, with the ability to evaluate AI-generated outputs critically and use AI tools effectively and responsibly in risk-monitoring activities. Experience you will bring to the role: - As an Analyst II, you are expected to bring your experience in performing relevant analyses and conducting investigations for suspected fraudulent merchants and action flags in a timely manner. - You should possess strong verbal and written communication skills to document and articulate the requirements, analysis and recommendations in a clear and concise manner to the stakeholders and customers. - You must have a solution-driven approach with exemplary investigative and critical thinking skills. - You must also be detail-oriented, capable of multitasking, working independently with little supervision, and possessing good decision-making, time management, and organizational skills. - You will assist in mentoring and guiding junior analysts, ensuring knowledge transfer and skill development. You should also possess the ability to escalate and resolve complex issues and questions, serving as a primary point of contact for such matters. - You should demonstrate proven ability to assist in projects and collaborate effectively with cross-functional teams. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States; New York; San Francisco Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re launching dedicated Digital Natives coverage in North America, a new team built to serve companies whose products and business models are built around technology. These are cloud-first, developer-led organizations that build fast, scale fast, and evaluate vendors the way engineers do. This is a named account role with a focused portfolio of the most strategic digital native companies in the region. You will be full-cycle - driving new business, as well as expansion inside organizations where the buyer is often a CTO, VP of Engineering, or Head of Product, and where adoption frequently starts with a developer and an API key before it becomes an enterprise relationship. Your job is to find that momentum, multi-thread across technical and business stakeholders, and turn it into durable, multi-product partnerships. These aren’t transactional engagements. You’ll architect solutions that span across our ElevenAgents, ElevenCreative, and ElevenAPI platforms that require cross-functional collaboration to deliver measurable outcomes, and bring field intelligence directly into our product roadmap. You’re not just executing a playbook, you’re writing it. IN THIS ROLE YOU WILL - Own and grow a focused portfolio of named digital-native accounts in North America, driving both net-new business and expansion - Identify where our technology is already being used or evaluated inside an account and convert developer-led adoption into company-wide commitments - Develop and execute multi-year account strategies across product lines, teams, and use cases - Scope and close large ($xM+), complex deals, including multi-product, usage-based, and custom commercial structures - Build deep, multi-threaded relationships across engineering, product, platform, and executive stakeholders - Act as a strategic advisor on how AI voice and multi-modal agents fit into customers’ product roadmaps and architecture - Partner cross-functionally with Solutions Engineering, Forward Deployed Engineering, Customer Success, and Partnerships to deliver and expand value - Translate patterns from this segment into repeatable frameworks, offerings, and product insights that inform how we expand Digital Natives coverage to other regions and verticals - Feed learnings from the field into the product roadmap and the broader strategic sales playbook - Drive creative outbound and high-touch engagement strategies (onsites, technical deep dives, exec briefings, developer and founder events) REQUIREMENTS - 6-10+ years of quota-carrying experience with a focus on strategic or enterprise accounts - Experience selling to technology companies, high-growth startups, or developer-led organizations, ideally API, infrastructure, or platform products - Proven track record of closing and expanding seven-figure+ deals within named accounts - Experience leading complex, multi-threaded sales cycles where engineering and product leaders are the primary decision-makers - Strong ability to drive land-and-expand motions, including converting self-serve or usage-based adoption into enterprise agreements - Experience scoping consultative, custom deals that go beyond standard SKUs - Deep technical fluency, able to engage CTOs and engineering leaders credibly on APIs, integrations, latency, and architecture - Executive presence with the ability to influence founders and C-suite stakeholders on long-term AI strategy - Track record of translating customer needs into product feedback and roadmap influence - Creative, self-driven approach to outbound and pipeline generation - Comfortable operating in a high-growth, ambiguous environment, building a new coverage model from scratch - Willingness to travel for customer engagements (onsites, QBRs, executive meetings) - Strong bias toward action, ownership, and leveraging AI in day-to-day workflows We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Bulgaria; Croatia; Poland; Romania; Greece Join our global Pharmacovigilance team as a Pharmacovigilance Specialist (Medical/Clinical Safety). Pharmacovigilance Specialist (Medical/Clinical Safety) is responsible for assuring compliance with the Quality Management System. Participating in the collection, safety review, processing and reporting of safety information in compliance with applicable global and local regulations and Biomapas standard operating procedures and guidelines. Position is in any EU country. Responsibilities: Responsible for processing of ICSRs, Serious Adverse Event (SAE) from Clinical trials (safety database entry, tracking, narrative writing, requesting follow-up from site, quality checks/review and reporting to client (s) or agencies for assigned projects) Perform reconciliation of safety data Participate in Project / Study Team meetings as the Safety and Pharmacovigilance representative Oversee the planning, coordination, and quality review of aggregate safety reports, support the preparation and submission of regulatory safety documents (e.g., DSURs, 6MLL). Supervision of local handling, including preparation and submission, of Periodic Safety Update Reports, Risk Management Plans and risk minimization activities Collaborate with medical, safety physicians, and data management, IT, other functions to ensure timely and accurate reporting or reports delivery Act as Biomapas and/or contractual partners 24/7 local contact person or back up for pharmacovigilance at local level Ensure the survey and monitoring of national / regional pharmacovigilance regulations Collection and processing of any medical enquiry/inquiry/answer received via phone/e-mail/fax or by other means from any source Support of weekly monitoring of local or global literature review Support of continuous safety profile monitoring, detection of new signals and evaluation Participate in related inspection and/or audits, including post inspection/audit support, when required Requirements University degree in the Life Science field At least 4+-years’ experience in Pharmacovigilance, clinical safety and clinical development and expert knowledge of pharmacovigilance legislation Knowledge of international regulations (ICH, EU GVP Modules, FDA) Experience working with PV databases (e.g., Argus, ArisG) and MedDRA coding Ability to interpret and apply global drug safety regulations Fluent English and local country language Eager to adopt automations and new technologies in daily tasks Attention to detail, time-management and problem-solving skills Project management experience is beneficial Benefits Professional growth and career opportunities International team and environment Bonus based on annual performance Personal accident and business trip insurance Additional health insurance Remote/home based Rewarding referral policy Workplace establishment allowance (fully remote) Team building, global meetings

Location: Romania; Bulgaria; Portugal; Poland; Slovakia; Spain Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced ML/Data Engineer to join our dynamic team on a full-time basis. Customer location: USA Candidate locations: EU ONLY Working hours: 11.00-20.00 CET Language: English B2+ Estimated start date: 16.11.2026 Duration: 12 months Project Responsibilities Design and build production data infrastructure for high-volume athlete performance and sensor data. Build and operate real-time and near-real-time ingestion systems for streaming data. Design storage and data architectures for high-volume time-series data and longitudinal athlete records. Build infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency. Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes. Build data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases. Design systems that maintain strong tenant-level data isolation across clubs and customers. Establish appropriate data provenance, lineage, auditability, and observability across the platform. Work with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation. Work with sport scientists and domain experts to translate complex requirements into durable production systems. Make pragmatic technology and architecture decisions as the platform evolves. Requirements 5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects. Proven experience designing, building, and operating production data infrastructure at scale. Strong experience working with time-series data or time-series databases, such as InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent technologies. Significant experience with real-time or streaming data ingestion, using technologies such as Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent. Experience designing graph data models or graph database schemas, not simply querying or consuming an existing graph database. Experience designing or operating multi-tenant systems with tenant-level data isolation. Strong Python and SQL skills. Professional experience with Go is highly desirable. Experience working with production systems where reliability, scalability, observability, and data correctness matter. Ability to take ownership of ambiguous technical problems and turn them into practical production architectures. Experience working directly with data scientists, ML engineers, or other technical domain specialists. Experience building probabilistic evaluation, model calibration, or model monitoring infrastructure. Experience with causal inference, counterfactual modelling, or simulation. Experience working with wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry. Experience building knowledge graphs or domain-specific ontologies. Experience with LLM or AI evaluation frameworks and an understanding of their limitations. Experience with AWS, including ECS, EC2, Lambda, SNS, SQS, or related services. Experience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for 3D Reconstruction Research Scientist to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. WHAT YOU’LL DO - Conduct original research in computer vision, machine learning, and spatial AI. - Design, implement, and evaluate novel algorithms for: - 3D reconstruction - Neural scene representations - 3D Gaussian Splatting - Geometric deep learning - Structure-from-Motion (SfM) - Meshing - Feed-forward models - Generative models - Spatial foundation models - Collaborate with research scientists and engineers to transition promising ideas into future products. - Develop large-scale experiments and benchmarking frameworks. - Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. - Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. WHAT YOU’LL BRING - PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. - A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. - Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. - Strong programming skills in Python and experience in PyTorch. - Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. - Ability to independently drive research projects from idea generation through experimentation and publication. NICE TO HAVE - Experience with classical reconstruction tooling (COLMAP or similar). - C++ or CUDA experience, and a feel for performance and on-device constraints. - Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.