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Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The Storage Team at Honeycomb is the backbone of our platform, responsible for the performance, reliability, and scalability of storing and querying billions of events. We design and own the architecture that powers correct and dependable query results — enabling every product experience from Metrics to Triggers and SLOs. As a senior engineer on Storage, you’ll work on high-impact systems where our customers may never see your code directly, but they’ll rely on it every time they use Honeycomb. What you’ll do in the role: Build and deliver high-quality solutions. You will design and implement solutions that power Honeycomb’s query and data storage infrastructure. Whether it’s improving query performance, evolving the Retriever service, or making our storage layer more reliable, you’re eager to jump in and add value where the team needs it most. Scope and deliver projects independently. You’re comfortable breaking down complex storage and querying problems into achievable steps, surfacing trade-offs, and pulling in teammates when needed. You take ownership end-to-end — from design to production support — reducing toil and ensuring our systems deliver measurable customer and business impact. Collaborate with cross-functional partners. You’ll work closely with Product Management and other engineering teams to connect technical solutions to product needs, from problem discovery through solution design and delivery. Much of our work is behind the scenes, but it enables every Honeycomb product experience, from Metrics to Triggers and SLOs. Support our services in production. We believe in owning the software we build. Every engineer on Storage participates in on-call rotations, helps define team KPIs and SLOs, and proactively reduces toil by addressing reliability challenges before they reach customers. Learn new ways to solve complex problems. As Honeycomb grows, so do the challenges of scaling our systems. You will explore new technologies, data storage techniques, and query optimization strategies to keep performance and reliability strong at scale. Thrive on collaboration. You enjoy pairing, reviewing code, and offering constructive feedback. You model strong ownership and help your teammates grow, while keeping conversations forward-looking and focused on business value. What you’ll bring to the role: Technical leadership in storage and querying. You’ve led the design of patterns and guidelines that improve performance and reliability, and you bring expertise in writing Go along with experience working on high-throughput or complex systems. Prior experience with database engineering is a plus, as is comfort with Kubernetes. Curiosity and experimentation. You learn by digging in — individually, in pairs, or as a team. You ask questions to better understand complex systems, explore trade-offs, and believe in learning from incidents as a way to improve both technology and practices. Focus on business outcomes. You tie technical decisions to customer and company impact, weighing whether work is necessary now or later, and considering how projects affect the broader business. Strength in mentorship and teamwork. You guide engineers through code reviews and help spread knowledge across a team with diverse skillsets so that ownership of critical paths is shared, not siloed. Resilience in collaboration. You thrive in a senior-heavy team, giving and receiving feedback with grace, and contributing to a culture where tough problems and hard conversations lead to better outcomes. Execution with impact. You can scope and deliver complex, multi-team projects while balancing production realities, proactively reducing toil, and ensuring systems deliver measurable customer value. Deep debugging expertise. You’re trusted to diagnose and resolve the toughest production issues across the stack, restoring reliability where others may be stuck. Influence beyond your team. You multiply impact by sharing knowledge, guiding adoption of new technologies, and driving foundational work that benefits Honeycomb engineering as a whole. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

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. Data Center Transaction Principal, Europe About the role As a Transaction Principal for Europe at Anthropic, you'll drive the commercial sourcing and transaction execution process for our European data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution, and doing so across multiple countries with distinct regulatory, power, and development dynamics. Responsibilities Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy You may be a good fit if you Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Have experience working in or across European markets, with knowledge of the regional data center and development landscape — including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners It's a bonus if you Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations) Have familiarity with data sovereignty and regulatory considerations that influence European site selection Have relationships within the European data center developer, operator, and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high-growth technology companies managing infrastructure expansion 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: £1 — £1 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: Remote-Friendly, United States 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 a Transaction Manager at Anthropic, you'll drive the commercial sourcing and transaction execution process for our data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams. Responsibilities Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms You may be a good fit if you Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization It's a bonus if you Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Remote-Friendly, United States 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 Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As the Reporting and Controls Lead, you'll own the single view of where every project in the delivery portfolio stands: consolidated milestone tracking from early floor access through floor access and ready-for-service, the integrity of the data behind it, and the capacity projections leadership plans against. You'll build and run the reporting the delivery team and executives rely on, and chase down the schedule and data discrepancies it surfaces. This is a highly cross-functional role: you'll work with Senior Delivery Managers and Regional Managers in the field, our third-party project-management partners, and the planning, transaction, design, and deployment teams whose inputs and outputs the portfolio schedule depends on. MOC (Mission + Outcomes + Competencies) Mission Give the delivery team and leadership one trustworthy view of where every project stands. Outcomes Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects. Schedule and status data reconciled at the source. Portfolio capacity projections and variance to plan maintained. Delivery-review and executive reporting built; data-quality checks automated where possible. Competencies Project controls / scheduling on large capital programs. Portfolio-level, not single-job, reporting. Scheduling, spreadsheet, and BI tooling fluency. Identifying, qualifying, and packaging data driven insights that define project and portfolio health. Responsibilities Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source Maintain portfolio capacity projections and the variance to plan behind them Build and maintain reporting for delivery reviews and executive updates Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead Automate reporting and data-quality checks where possible, including with AI-assisted tools You may be a good fit if you Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial Have run consolidated reporting across a multi-project portfolio, not a single job Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm] Communicate clearly, in writing and in charts, to technical and executive audiences Are comfortable building the process while running it Strong candidates may also have Hyperscaler, colo, or developer-side program-controls experience Owner's-side cost controls or earned-value reporting experience Built planning or reporting tools leveraging AI-assisted development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA. Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build. You may be a good fit if you Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM. Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments. Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions. Can write a product-specific test plan and judge whether test coverage is sufficient. Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout. Are willing to travel to partner sites up to 50% of the time. Have a degree in Electrical, Mechanical, Industrial, or Materials Engineering, or equivalent practical experience. Strong candidates may also Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator. Have stood up a new manufacturing line or site, or brought up a second CM for an existing product. Have experience with liquid-cooled or high-power-density rack systems. Possess a Master's degree in a relevant engineering discipline. Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Athens Workplace: Remote ROLE HIGHLIGHTS: - Missions Sales Director - Location: Greece - Department: Missions Sales - Reports to: VP of Mission Sales, with a dotted line to local CEO - Employment type: Permanent - Workplace model: Remote - Employment is subject to applicable security screening. WHY THIS ROLE MATTERS: As a Missions Sales Director, you’ll lead sovereign satellite and ISR mission sales to government customers across Greece, Balkans and Eastern Mediterranean region, driving growth, trust, and long-term partnerships that advance ICEYE’s position as the defence-focused space ISR leader. You will own the full sales cycle for Missions satellite programmes, from identifying and shaping opportunities to closing multi-year deals. By building strategic relationships with governments and key decision-makers, you will expand ICEYE’s presence in the region, deliver sustainable revenue growth, and ensure customer success through close collaboration across ICEYE’s Missions and Data lines of business. 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. DAY-TO-DAY RESPONSIBILITIES - Own and drive regional revenue growth for ICEYE’s Missions business in your dedicated region - Identify, shape, qualify, and close sovereign satellite and ISR mission opportunities with government customers. - Build and sustain trusted relationships with government stakeholders, defence organisations, and key decision-makers in the market. - Develop and manage a qualified sales pipeline, including capture plans, win strategies, and accurate forecasting. - Lead complex strategic sales processes, including opportunity reviews, bid or no-bid decisions, proposal coordination, and commercial positioning. - Collaborate across ICEYE’s Missions and Data lines of business to align customer needs, technical capabilities, and delivery plans. - Represent ICEYE in-market through customer meetings, industry events, and strategic stakeholder engagement. - Maintain strong CRM discipline and provide clear market intelligence to support business planning and decision-making. WHAT WE’RE LOOKING FOR MUST HAVES: - 5+ years of strategic sales or business development experience in the aerospace, defence, space, ISR, earth observation, or related government technology sector. - 5+ years of international sales or export experience with complex solutions. - Experience selling to government customers, defence organisations, or public sector decision-makers. - Existing network across relevant government and government-related organisations across Greece, Balkans and Eastern Mediterranean. - Strong understanding of earth observation, ISR, or satellite-based capabilities, ideally including SAR. - Proven ability to run complex sales cycles, including lead qualification, opportunity development, capture planning, stakeholder mapping, and deal closure. - Professional working proficiency in Greek - Willingness to travel as required, primarily across the region and to Finland. NICE TO HAVES: - Previous military, defence, intelligence, or security-sector experience. - Experience producing capture plans and delivering against win strategies. - Track record of closing value-based sales with a strong focus on customer success. - Experience leading multi-department sales pursuits, gate reviews, bid processes, and competitive analysis. - Experience using Salesforce or another CRM. - Sales training in Miller Heiman, Korn Ferry, Shipley, or a similar methodology. APPLICATION PROCESS - Assessment - Recruiter interview - Peer interview - VP interview - References - CEO 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. Base salary range for this position is 100 000 - 150 000 EUR per year, gross, dependent on experience, and will be negotiated individually. 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: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Embed within client environments, working onsite with the people performing the work and the executives sponsoring it. Lead discovery sessions to understand the client’s business, systems, data, operating model, and underlying challenges. Translate ambiguous business problems into prioritized and quantified opportunity maps, supported by clear baselines and accountable client owners. Identify which opportunities are genuinely worth pursuing and advise against initiatives that do not provide sufficient business value. Build trust in the client’s data and deliver working, data-grounded prototypes within the first weeks of an engagement. Design, develop, debug, and deploy production-grade AI agents, integrations, data pipelines, and applications within client systems. Remain hands-on in the code whenever technical progress or delivery outcomes depend on it. Define evaluation frameworks, quality thresholds, regression gates, and monitoring strategies for AI and agentic systems. Monitor model and data drift and design effective human-in-the-loop controls for high-impact workflows. Scope, sequence, and coordinate delivery across engineers, architects, and specialist contributors. Make explicit trade-offs between scope, delivery speed, quality, and business value. Orchestrate Exadel Colleague to accelerate delivery and scale successful implementation patterns. Convert successful deployments into reusable reference architectures, agent templates, integration blueprints, evaluation frameworks, and delivery playbooks. Produce clear technical documentation, operational runbooks, and knowledge-transfer materials. Train client teams to independently operate, maintain, and extend delivered solutions. For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes. For Senior FDEs, mentor other Forward Deployed Engineers and ensure reusable delivery patterns are incorporated into Exadel Colleague. What You Bring Mid-level hands-on technical experience, including client-facing capacity. For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods. A demonstrated record of delivering production software used by real users and business teams. Practical experience designing, deploying, and debugging LLM-backed or agentic systems in production. Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL. Strong knowledge of prompt and context engineering, agent architecture, tool and function calling, and retrieval-augmented generation. Experience with Model Context Protocol servers, sub-agents, skills, and agent development frameworks such as the OpenAI Agents SDK or Claude SDKs. Experience designing evaluation harnesses, quality thresholds, regression gates, drift monitoring, and observability for non-deterministic systems. Understanding of human-in-the-loop control design and where human review should remain within automated workflows. Experience with data modeling, domain ontologies, ETL or ELT pipelines, relational databases, vector stores, and embedding pipelines. Experience building and deploying solutions on AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, serverless architectures, and enterprise deployment patterns. Experience integrating with REST or GraphQL APIs, webhooks, event-streaming platforms, identity systems, and SSO. High agency and sound judgment when working through ambiguity, incomplete information, and evolving client requirements. Demonstrated ability to become credible and productive quickly within unfamiliar industries and business domains. A habit of clarifying the problem, identifying constraints, and explicitly stating assumptions before developing a solution. The ability to communicate effectively with both executive and technical audiences. Strong technical writing skills, with the ability to explain complex concepts clearly and precisely. Commercial judgment and the ability to connect technical decisions to measurable business value. Strong analytical and mathematical rigor when working with incomplete, inconsistent, or unstructured data. Fluent English communication skills. Willingness to travel approximately 25–50% and work onsite in client environments. Nice to have A university degree is preferred but not required. Demonstrated evidence of successfully delivered work will be valued ahead of formal qualifications. Java, C#, or C++ within legacy enterprise environments. Node.js, React, or Next.js for client-facing applications. Fine-tuning fundamentals and multi-agent orchestration. TDD or BDD practices. Large-scale data processing platforms such as Spark, Databricks, or Snowflake. PostgreSQL, MySQL, or comparable relational databases. On-premises, sovereign, or restricted-cloud deployment models. Enterprise systems such as Jira, Azure DevOps, ServiceNow, Salesforce, or SAP. GitHub or GitLab-based delivery workflows. English level Fluent Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. This position supports US-based operations; however, contracting will be executed locally in Brazil as a [PJ / CLT] engagement. Compensation is set and paid strictly in Reais (BRL). Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Tokyo (Japan) Marketing Manager - Japan - Join Our Innovative Team at thinkcell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We’re looking for a Marketing Manager to lead integrated marketing initiatives focused on Japan. You will drive multi-channel campaigns that fuel growth, build brand awareness, and boost user engagement, with a strong focus on event marketing and influencer partnerships. Working cross-functionally with product, sales, and marketing teams, you’ll shape and execute impactful regional strategies. From campaign execution to performance analysis, you'll ensure thinkcell reaches the right audiences in the right way. If you’re passionate about B2B marketing and thrive in a fast-paced, collaborative environment, we’d love to hear from you. Key Responsibilities: Own multi-channel regional marketing campaigns across Japan, driving business growth, brand awareness and user engagement Extract insights from product, sales and marketing teams to develop and steer our regional marketing strategy Partner with local agencies, publications, thought leaders and influencers to promote thinkcell to relevant audiences Together with other GTM teams, plan and execute an event strategy across both physical and virtual events, driving strong ROI, awareness and engagement uplift Support sales led growth through collaboration with go-to-market teams, enabling them with high quality collateral materials through all stages of the customer journey Work closely with internal design and content teams to deliver the highest quality creative assets Establish strong communication channels between regional sales teams and core marketing team, as well as the rest of the organization You will be great for this position if you have 5+ years of experience in B2B marketing, preferably for a software / SaaS business Experience in developing end-to-end marketing campaigns with focus on the Japanese market: from strategy and planning to launch and performance analysis A proven track record in effectively running one or more of the following channels: event marketing, influencers, partnerships, brand and PR Ability to effectively work with design and content counterparts to build effective creative assets A proactive, problem-solving approach with strong project management and communication skills Strong analytical skills, hands on experience with campaign analysis and reporting, knowledge of Matomo and PowerBI Experience working with Salesforce and Marketo Experience running influencer marketing and partnerships is a plus Experience working with thinkcell, Microsoft PowerPoint and Excel is a plus Experience working with finance and consulting services is a plus Proficiency in English and Japanese - other languages are a plus Willingness to work on-site in our Berlin office 4 days per week, with 1 remote day Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, London, Tokyo, and Dubai, we’re a diverse team of over 250 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: London, United Kingdom Workplace: hybrid Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. We're looking for a highly analytical and commercially focused Data Reporting & Analytics Lead to work closely with the Chief of Staff to the CEO and senior executives across the Group. This is a high-impact role where you'll shape how performance is measured, reported and acted upon across a diverse international education business. You'll develop insightful reporting, build intuitive dashboards, and turn complex data into actionable recommendations that support strategic decision-making and improve business outcomes. What You'll Be Doing Design and implement efficient data collection and reporting processes across multiple business units. Develop executive-level dashboards and visualisations using Excel and Power BI. Create performance reporting frameworks that provide clear visibility of organisational performance. Deliver meaningful insights and recommendations through advanced analytics and data interpretation. Work closely with senior stakeholders to identify opportunities, challenges and areas for improvement. Transform complex datasets into concise, impactful presentations for executive audiences. Manage multiple projects simultaneously while ensuring high-quality delivery and stakeholder engagement. Drive continuous improvement in reporting, data quality and analytics capabilities. About You We're interested in individuals who combine strong technical capability with commercial curiosity and excellent stakeholder management skills. You'll bring: Experience in data analytics, business intelligence, reporting or performance management. Advanced Excel and Power BI expertise. A track record of building dashboards and producing insightful management reporting. Strong analytical and problem-solving skills, with the ability to translate data into business actions. Excellent communication skills and confidence working with senior leaders. A degree in Data Science, Engineering, Economics, Business or a related discipline. Experience operating within a large, complex organisation. What we offer: 25 days annual leave plus bank holidays - time to rest, recharge, and balance life beyond work. Hybrid working - most roles offer hybrid or flexible arrangements to support work-life balance. Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Private Medical Insurance (T&C's apply) - prioritising your wellbeing with speedy access to healthcare whenever you need support. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Eye Care Vouchers - support for regular eye tests and essential eyewear. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. Refer a Friend Scheme for staff members (T&C's apply) - earn rewards for helping us bring great talent into the team If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: London, United Kingdom Workplace: hybrid Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. We're looking for a highly analytical and commercially focused Data Reporting & Analytics Lead to work closely with the Chief of Staff to the CEO and senior executives across the Group. This is a high-impact role where you'll shape how performance is measured, reported and acted upon across a diverse international education business. You'll develop insightful reporting, build intuitive dashboards, and turn complex data into actionable recommendations that support strategic decision-making and improve business outcomes. What You'll Be Doing Design and implement efficient data collection and reporting processes across multiple business units. Develop executive-level dashboards and visualisations using Excel and Power BI. Create performance reporting frameworks that provide clear visibility of organisational performance. Deliver meaningful insights and recommendations through advanced analytics and data interpretation. Work closely with senior stakeholders to identify opportunities, challenges and areas for improvement. Transform complex datasets into concise, impactful presentations for executive audiences. Manage multiple projects simultaneously while ensuring high-quality delivery and stakeholder engagement. Drive continuous improvement in reporting, data quality and analytics capabilities. About You We're interested in individuals who combine strong technical capability with commercial curiosity and excellent stakeholder management skills. You'll bring: Experience in data analytics, business intelligence, reporting or performance management. Advanced Excel and Power BI expertise. A track record of building dashboards and producing insightful management reporting. Strong analytical and problem-solving skills, with the ability to translate data into business actions. Excellent communication skills and confidence working with senior leaders. A degree in Data Science, Engineering, Economics, Business or a related discipline. Experience operating within a large, complex organisation. What we offer: 25 days annual leave plus bank holidays - time to rest, recharge, and balance life beyond work. Hybrid working - most roles offer hybrid or flexible arrangements to support work-life balance. Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Private Medical Insurance (T&C's apply) - prioritising your wellbeing with speedy access to healthcare whenever you need support. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Eye Care Vouchers - support for regular eye tests and essential eyewear. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. Refer a Friend Scheme for staff members (T&C's apply) - earn rewards for helping us bring great talent into the team If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Johannesburg Workplace: Remote Our Customer Outcomes team turns blockchain intelligence into operational capability for our customers. We work with financial institutions, crypto businesses, regulators, and law enforcement agencies across EMEA. We combine technical depth with commercial judgment, owning the customer relationship from early sales engagements through renewal and expansion. It's a small, high-ownership team where individual impact is visible. As a Deployment Strategist, you own the pre and post-sale relationship for a portfolio of strategic accounts in West and Southern Africa. You lead deployments, drive adoption, and act as the technical advisor customers rely on when the stakes are high. You translate complex compliance and investigative workflows into working solutions on our platform. The role suits someone equally comfortable in a customer's compliance team or government agencies in an executive QBR.   Please note we are only looking to hire people that are based/willing to locate to Johannesburg In this role, you’ll: - Own onboarding and deployment for strategic accounts, building adoption plans with clear success criteria - Advise compliance, investigations, and executive stakeholders as their primary technical point of contact - Deliver product training, workshops, and enablement that turn new users into confident daily users - Translate customer workflows and pain points into solution designs, integrations, and platform configurations - Monitor usage and engagement trends to surface expansion opportunities and early churn risk, and act on both - Partner with Sales on renewals, expansion, and account strategy, contributing directly to retention and growth targets - Collaborate with Support, Product, and Engineering to resolve escalations and channel structured field feedback into the roadmap - Represent the company at industry events, customer forums, and conferences across the region - Contribute to team playbooks and documentation that scale how we serve customers We’re looking for candidates who have: - 5+ years in customer-facing roles at a high-growth technology company: customer success, solutions architecture, presales, technical account management, or enterprise consulting - A track record of owning enterprise accounts, including managing senior and executive stakeholders through complex, multi-month deployments - Working knowledge of cryptocurrency and blockchain: how transactions, wallets, exchanges, and stablecoins work, and how they intersect with AML, compliance, or investigative workflows - Exceptional written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences - Professional fluency in English - Comfort with technical concepts such as APIs, data analysis, and logic-based workflows, with and without AI agents. - Demonstrated ability to operate independently in a fast-paced, ambiguous environment with a high degree of ownership Nice to have experience: - Direct experience in financial crime, AML/CFT, fraud, law enforcement, or financial regulation - Hands-on experience with blockchain intelligence or analytics tooling - Relevant certifications (e.g., CAMS, CCI, equivalent) - Experience supporting public sector customers or financial institutions in Africa - An additional European or Arabic language AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Zurich, Switzerland About the Role iCapital’s Client Solutions EMEA team is seeking a Vice President (VP) to contribute to the development and execution of iCapital’s international expansion. In this role, you will be a key member of the team and support the business development activities of iCapital with a focus on Wealth Managers based in Germany, Switzerland and Austria (“DACH”). iCapital’s rapid international expansion creates an opportunity for a motivated and energetic professional to join a fast-paced, rapid-growth environment. This position will be based in Zurich. Responsibilities Support the Client Solutions EMEA team in executing the business development strategy for iCapital, covering Wealth Managers in DACH, with dedicated focus on Germany. Develop and manage a robust and sustainable pipeline of prospective Wealth Manager clients. Execute Wealth Manager onboarding process from start to finish, working closely with related teams, including Legal & Compliance. Nurture strong relationships with clients and prospects. Educate clients on Private Markets/Alternatives and articulate iCapital’s solutions and capabilities to clients and partners. Provide constant feedback from the field on competitive landscape, investors’ appetite, trends and share with colleagues globally. Build strong internal relationships within iCapital and work closely with other teams (Research & Fund Management, Product Development, Implementation Specialist group, Client Success, Marketing, Legal & Compliance, Technology & Operations, etc.) to achieve the best client outcomes and successful long-term client relationships. Serve as the relationship manager and deliver an exceptional client experience for our Wealth Manager clients (i.e. banks, multi-family office and independent asset managers). Candidate Profile Solid academic credentials in relevant field. 7-10 years of solid work experience in the Asset- or Wealth Management industry, with a demonstrated track record in winning and interacting with clients. Experience as business development professional or similar role in the asset management industry is a must. Very good understanding of the German wealth market and strong network to Wealth Managers in Germany, i.e. to private banks, family offices, independent asset managers and regional banks (Sparkassen / Raiffeisen-Volksbanken). Adequate exposure to Private Equity and/or other Private Markets asset classes, and an understanding of the distribution model is a plus. Strong attention to detail. Excellent presentation and verbal/written communication skills, with a professional and positive attitude. Highly collaborative, and able to think strategically about business opportunities and client management. Language skills: Native in German and business proficiency in English is a must. Ability to work independently with a strong appetite to work in a fast-growing, collaborative environment. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). For additional information on iCapital  please visit https://www.icapital.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Role overview: We are looking for a Group Product Manager to lead Platform Experience within Nebius AI Cloud. Platform Experience is the unified customer and developer experience across the platform. The group is responsible for reducing time-to-first-value, creating a predictable path from PoC to production, and ensuring that Nebius feels like one consistent platform across APIs, developer tools, documentation, AI assistance, notifications, quotas, and the resource model. You will lead a team of Product Managers, set the direction across several connected product areas, and align their roadmaps around shared customer and business outcomes. You will work closely with Engineering, Customer Experience, GTM, and product teams across Nebius. What you'll do: — Define the vision, product strategy, success metrics, and investment priorities for Platform Experience. — Lead and grow a team of Product Managers, establishing clear ownership and strong product practices across the group. — Create a consistent, API-first and agentic-first developer experience across CLI, Terraform, SDKs, public APIs, documentation, and Nebius Echo. — Reduce time-to-first-value and make the path from PoC to production predictable through clear end-to-end journeys, actionable errors, and effective guidance. — Lead the evolution of capacity and quota management and the resource model required for enterprise, partner, multi-region, and multi-tenant use cases. — Build a unified approach to customer-facing notifications and communications, including maintenance, incidents, and multi-product events. — Collaborate with Engineering, Customer Experience, GTM, and product teams to align roadmaps with customer and business outcomes. Requirements: — 7+ years of Product Management experience, including experience leading and developing Product Managers. — Experience owning a portfolio or product group spanning multiple technically complex products and teams. — A strong background in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain. — Enough technical depth to work with engineering leaders on APIs, developer tooling, resource models, multi-tenancy, and distributed platform systems. — Strong product strategy, customer discovery, analytical, and executive stakeholder management skills. — Bonus: Experience with public APIs, infrastructure-as-code tools, developer documentation, or AI-assisted developer experiences. — Familiarity with GPU infrastructure, AI/ML workloads, or capacity-constrained cloud products. Who you are: — Strategic thinker with a track record of delivering multi-product platforms. — Collaborative leader who can grow and mentor a team of Product Managers. — Customer-centric with strong analytical and communication skills. Tech stack: Experience spanning APIs, CLI, Terraform, SDKs, public APIs, documentation, and developer tooling; familiarity with capacity and quota management, multi-tenant architectures, and distributed platform systems. Team description: Lead a group of Product Managers focused on Platform Experience, coordinating with Engineering, Customer Experience, GTM, and other product teams to deliver a cohesive developer and customer experience across Nebius AI Cloud. Benefits & Perks: — Competitive compensation — Career growth and learning opportunities — Flexibility and ownership — Collaborative and innovative culture — Opportunity to work on impactful AI projects — International environment and talented teams Equal Opportunity Statement: Nebius is an equal opportunity employer committed to fostering an inclusive and diverse workplace and providing equal employment opportunities in all aspects of employment. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United Kingdom; Europe; London Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Location: UK Active DV clearance is highly preferred In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Limassol, Cyprus Freedom24 is a CySEC-regulated stockbroker and part of Freedom Holding Corp, listed on Nasdaq. Clients trade over a million instruments across 15 exchanges through the platform. The Group is headquartered in Limassol and has been steadily opening offices across Europe, we have 10 offices in Europe, and now needs a single document management architecture that can actually support all of them. That's the mandate here. Someone is needed to sit down with a blank sheet of paper and figure out how a regulated European financial group should manage everything from contracts and corporate records to Board papers and client files, across Cyprus and every subsidiary. You'll report straight to the Chief Legal Officer and have full autonomy. The first six months are focused entirely on this: auditing where things stand today and designing the model the Group should move to. What comes after depends on what you find and build during that time, but this is very much a first chapter, not the whole story. To be clear: the current Document Management team is doing a good job running things day to day. Nothing here suggests otherwise. What's missing is the layer above that, the architecture the Company needs now that it's operating across this many countries, and building that layer is the job. Why this role exists The Group has outgrown a document management model shaped mainly around Legal's needs. As the Company expands across European subsidiaries, document management needs to become a structured, centralized, auditable discipline — not a set of local routines. That's the gap this role is built to close. What you'll do Audit the current landscape end-to-end: WSS / Prime Docs, DocuSign, approval routes, contract administration, electronic archives, original-document handling, and cross-entity workflows. Run a rigorous gap analysis — process, governance, systems, subsidiary integration, reporting, AI-readiness — and separate what should stay from what needs to change. Design the target operating model: centralized governance, document taxonomy, RACI and ownership, approval and e-signature principles, archive and access-rights framework. Assess whether to enhance, integrate, or replace current systems, and translate the future model into clear IT business requirements — including where AI can add real value (classification, extraction, search, key-date monitoring). Deliver a phased, board-ready implementation roadmap for Cyprus and the European subsidiaries, with a clear view on how the role itself should evolve afterward. What makes this role different Direct line to the CLO and real influence on how the Group operates, from day one. A true build-from-scratch mandate — you set the architecture, not just optimize a process. Strong signal for the next chapter of your career: proven potential to evolve into a permanent global document management leadership role. You'll work with the existing team, not around it. Their operational expertise is your foundation, not something to route around from a standing start. Requirements 10-12+ years in document management, records management, information governance, legal operations, CLM, or business process transformation. Experience in regulated financial services, fintech, banking, insurance, payments, or a comparable multinational, multi-jurisdictional group. Hands-on knowledge of EDMS and e-signature platforms, contract registers / CLM logic, electronic archives, metadata, and access-rights models. A track record of auditing complex cross-functional processes and turning findings into a practical, adoptable operating model. The stakeholder skills to lead a transformation with no direct authority and the tact to frame gaps as scale-driven, never as a verdict on the current team. A plus: experience with AI-enabled document intelligence, automation, or document classification tools. What this role is not Not a legal review role, a general legal-ops role, an IT developer role, or an administrative position. Not a replacement for the current Head of Document Management — this is a senior transformation and systems-design mandate that builds on top of the existing operation, not instead of it. Benefits Competitive salary package; Annual performance bonus; Relocation package and visa support for you and your family; Company-provided life insurance; The company covers 50% of the annual cost of the Healthy Plan, which the employee can arrange with any insurance company. 21 working days of paid vacation; Public holidays under applicable law are substituted by the Employer with alternative 12 days off. The Employee can have 1 (one) additional day off per month – 12 (twelve) additional days off per year. Up to 3 days per month’s sick leave without a medical report from a licensed general physician justifying such absence; Access to Freedom Cafe, our on-site café and social space offering freshly prepared coffee; Corporate Freedom GYM and yoga classes in the office; Team-building activities, corporate and sport events, football and volleyball clubs.

Задачи: — Разрабатывать AI-ассистентов, чат-ботов и AI-агентов. — Создавать многоэтапные AI-workflow. — Интегрировать OpenAI, Anthropic и другие LLM API. — Работать с context, memory, state и tool calling. — Разрабатывать AI-решения для Telegram, WhatsApp и Web. — Автоматизировать бизнес-процессы с помощью AI. — Разрабатывать и улучшать RAG-системы. — Работать с embeddings, semantic search, hybrid search и reranking. — Настраивать обработку, chunking и индексацию документов. — Работать с векторными, SQL- и NoSQL-базами данных. — Реализовывать цитирование и проверку источников ответов. — Разрабатывать backend на Python / FastAPI и создавать REST API. — Работать с Pydantic и асинхронным Python. — Интегрировать внешние API и базы данных. — Реализовывать retry, timeout, error handling и logging. — Контейнеризировать сервисы через Docker. — Оптимизировать промпты и системные инструкции. — Создавать тестовые сценарии и evals. — Выявлять галлюцинации и проблемы с контекстом. — Проводить регрессионное тестирование AI-функциональности. — Сравнивать модели по качеству, скорости и стоимости. — Контролировать token usage, latency, ошибки и расходы на LLM. — Анализировать реальные диалоги пользователей и улучшать AI-системы. Требования: — От 2 лет коммерческого опыта в AI Engineering, Backend, ML Engineering или смежной технической роли. — Уверенный Python. — Практический опыт работы с FastAPI. — Опыт работы с REST API, Pydantic и асинхронным Python. — Опыт работы с Docker и Git. — Практический опыт интеграции OpenAI, Anthropic или других LLM API. — Опыт работы с LangChain, LangGraph или аналогичными инструментами. — Понимание RAG, embeddings и semantic search. — Опыт разработки AI-ассистентов, чат-ботов или AI-агентов. — Опыт работы с SQL и/или NoSQL. — Понимание ограничений LLM: галлюцинации, context window, latency и стоимость. — Умение писать структурированный и поддерживаемый код. — Способность самостоятельно разбираться в задачах и предлагать технические решения. — Английский язык. Будет большим плюсом: — Qdrant, Pinecone, pgvector, Weaviate, Milvus или другие vector DB. — Production-ready RAG. — AI Agents и tool calling. — Structured Outputs, JSON Schema и Function Calling. — LLM evaluation / automated evals. — LangSmith, Langfuse, Arize Phoenix или аналогичные инструменты. — PostgreSQL, Redis, Elasticsearch / OpenSearch. — CI/CD. — AWS, GCP, Azure. — OCR и обработка документов. — Опыт разработки multi-tenant SaaS. — Понимание информационной безопасности и защиты данных. AI-инструменты в разработке: — Claude Code — Cursor — GitHub Copilot — Codex и аналоги Ожидания на первые 3 месяца: — Разобраться в существующей AI- и backend-архитектуре. — Самостоятельно развивать LLM-функциональность. — Реализовать минимум одну значимую AI-функцию от идеи до production. — Улучшить качество, стабильность, скорость или стоимость существующих AI-сценариев. — Настроить базовое тестирование и оценку качества AI-ответов. — Улучшить логирование и мониторинг ключевых AI-сценариев. Условия: — Полная или частичная занятость. — Формат: удалённо / гибрид. — График: 5/2 и другие варианты. — Рабочий день 8 часов. — Оформление по трудовому договору. — Остальные условия обсуждаются индивидуально с финальным кандидатом. — Работа над production-ready AI-системами, а не только демонстрационными решениями.

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 We are looking for a Senior Low-level Control Engineer to join our Control Team in London, focusing on control development and integration for our end-effectors. You will design, implement and validate actuator- and joint-level controllers and grasp-level behaviours across a family of end-effector variants - parallel and multi-finger grippers, vacuum and suction tooling, and purpose-built tooling for specific customer tasks. Each variant brings different actuation, different sensing and, critically, different transmission mechanisms: geared direct drives, cable- and tendon-driven routings, differential and coupled linkages, and underactuated designs where few actuators must produce adaptive, compliant grasping across many degrees of freedom. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working from real-time embedded control up through kinematics/dynamics and hardware debugging. You will work closely with mechanical and hardware engineers - early enough in the design cycle that your input shapes actuation and transmission choices rather than merely inheriting them. WHAT YOU'LL DO Low-Level Control Development: - Tune and validate actuator- and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF end-effectors in ROS2. - Develop grasp-level behaviours: grasp force control, compliant closing, slip detection and correction, and adaptive grasping on underactuated grippers. - Implement safety and fault-handling mechanisms — thermal and over-current protection, stall and jam detection, grip-loss detection, safe behaviour on fault. Transmission Mechanisms, Modeling & System Identification: - Build and identify models of actuators, transmissions and mechanisms - geared, cable/tendon-driven, differential, coupled and underactuated - including compliance, friction, backlash, hysteresis, cable stretch and pretension effects. - Own the joint-to-actuator abstraction for these mechanisms and the correct exposure of joint versus actuator state through the control stack. - Contribute directly to transmission mechanism design: work with mechanical engineers on routing, reduction ratios, DoF coupling and underactuation strategy, bringing the controllability and observability consequences of each option into the conversation early. Sensor & Hardware Integration: - Integrate and calibrate end-effector sensing (F/T, tactile, encoders, temperature/current, vacuum feedback) with real-time acquisition across the control stack. - Hands-on bring-up and debugging of new end-effectors, including test-stand work and vendor-supplied units. Cross-Disciplinary Collaboration: - Close the loop with mechanical/electronics engineers across sites on actuation, transmission and sensing requirements. - Work with data collection, applications and deployment teams so end-effectors work reliably in real use. WHAT WE'RE LOOKING FOR - Shipped real-time-safe, object-oriented C++ control software running on real hardware. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up. - Modelled, identified and controlled through real mechanical transmissions - gearing, cables/tendons, differentials, coupled linkages or underactuated mechanisms - and dealt with the compliance, friction and backlash they introduce. - Worked on end-effectors or comparable multi-DoF mechanisms, including grasp control and supporting sensing. - Debugged at the fieldbus and OS layer: e.g. EtherCAT or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. Nice to have: - BLDC motor control (commutation, current control, torque optimization). - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Tendon- or cable-driven mechanisms specifically, including pretension management, routing friction and wear behaviour. - Tactile sensing integration; vacuum and suction tooling, including multi-cup arrays and grip-loss handling. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Isaac Sim). WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: India; Serbia; Croatia; Spain; Italy Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role, not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. What You'll Do Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL Engineer robust ETL/ELT pipelines (dbt, Airflow, PySpark) that produce and maintain the trusted data these AI experiences depend on Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing) Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust Requirements Must-Have Experience 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Genie spaces with semantic models) Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment dbt, PySpark, SQL, Python — strong across the modern data stack Orchestration with Airflow, Databricks Workflows, or equivalent Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows Nice to Have Pharma, life sciences, or regulated financial services domain experience Veeva CRM, IQVIA, SAP, or clinical data source integration Streamlit or Databricks Apps for business-facing analytics Databricks Data Engineer Professional certification LangChain, LlamaIndex, or equivalent RAG frameworks Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions What We're NOT Looking For Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation Computer vision, NLP model builders, or multi-agent orchestration specialists — wrong shape for this role