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Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta: The World's Identity Company™ About Okta & The TAM Team Okta is the leader in Identity management and The World's Identity Company™. Our mission is to build a more secure world by providing a neutral, powerful, and extensible platform that puts identity at the heart of the modern tech stack—securing customers, employees, partners, and AI agents. Two-thirds of the Fortune 100 trust Okta to power their identity journeys. The Technical Account Management (TAM) team is a global group of Okta product experts dedicated to driving long-term customer success. As a Senior TAM within our Strategic Workforce Identity segment, you will serve as the premier technical advisor and advocate for some of our largest enterprise customers (across Financial Services, Healthcare, Public Sector, and more), helping them elevate their technical maturity and maximize their Okta investment. What You'll Be Doing 1. Strategic Customer Partnership & Influence Trusted Advisor: Build deep, executive-level relationships, serving as the primary technical point of contact for customer identity owners and IT leadership (up to CxO). Strategic Roadmapping: Architect tailored technical success plans aligned with customer business objectives to drive platform adoption and secure Okta against competitive displacement. Adoption & Expansion: Guide customers in expanding their Okta footprint across critical Workforce solutions, continuously improving their overall security posture. 2. Complex Problem Resolution & Advocacy Technical Escalation Lead: Independently manage and resolve highly complex customer technical escalations, collaborating with Customer Success Managers (CSMs) as needed. Risk Mitigation: Proactively identify technical roadblocks, design robust mitigation plans, and drive them to resolution. Cross-Functional Advocacy: Champion customer needs internally by collaborating with Okta Engineering, Product, and Support teams to influence product direction. 3. Thought Leadership & Team Enablement Knowledge Sharing: Deliver workshops, best practice sessions, and vertical-specific insights to enhance customer security. Asset Creation: Author repeatable technical strategies and assets to level up the global TAM organization. Mentorship: Actively mentor and develop peer TAMs to upskill technical capabilities across the team. Workforce Identity Solutions You Will Support You will provide deep technical guidance across Okta's comprehensive Workforce Identity lifecycle: IAM: SSO, Adaptive MFA, Device Access, API Access Management, Secure Partner Access, Access Gateway, and Universal Directory. IGA: Lifecycle Management and Okta Identity Governance (OIG). PAM: Privileged Access Management. ITDR: Identity Security Posture Management and Identity Threat Protection. What You'll Bring to the Role Experience & Education 8+ years of related professional IT experience (or 6+ years with a Master's degree). 3+ years of experience as a TAM, Technical Consultant, Solution Architect, or Product Manager. 3+ years of experience working with Identity & Access Management (IAM) solutions or related security technologies is preferred. Education: BA/BS/MS in Computer Science, IT, or a related discipline (or equivalent experience). Certifications: Okta Certified, CISSP, or equivalent certifications are highly preferred. Technical Mastery (Workforce Identity Focus) Okta Architecture: Extensive hands-on proficiency mapping Okta feature sets to complex enterprise architectures. Federation Protocols: Strong understanding of modern identity protocols (SAML 2.0, OAuth, OpenID Connect, WS-Fed). Hybrid Environments: Experience integrating legacy/non-standard applications that do not support modern federation protocols. Lifecycle & Provisioning: Deep knowledge of lifecycle management, automated provisioning, and integrations (e.g., SCIM, Okta Workflows, HR-driven provisioning, Active Directory). SaaS Ecosystems: Familiarity deploying and securing key SaaS platforms (O365, Salesforce, Workday, Box). Code Proficiency: Ability to read and modify existing quickstarts, code samples, or scripts to match customer requirements. Communication & Leadership Executive Presence: Exceptional communication skills with a proven ability to translate highly technical concepts into clear business outcomes for CxO-level audiences. Boundary Setting: Skilled at managing expectations, tracking portfolio health metrics, and setting healthy boundaries with internal and external stakeholders. Location & Language Requirements: This is a hybrid role, open to candidates based in London, Munich, Paris, or Warsaw. Fluency in both German and English is mandatory. #LI-MM1 #LI-Hybrid P26230_3599521 The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice. Find more English Speaking Jobs in Germany on Arbeitnow

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. WHY JOIN US The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. ABOUT THE TEAM The Minerva software team develops our overarching command, control, and edge autonomy software across multiple domain platforms and handheld ground stations. We are a geographically distributed, multi-disciplinary engineering group bridging high-level decision-making software with physical vehicle control and sensor payloads. In this role, you will work within the Minerva product organisation and report directly to the Lead Product Manager to ensure seamless cross-platform functionality and multi-sensor integration across all operational deployments. YOUR MISSION You will support the product strategy for integrating our core Minerva software architecture—spanning C2 systems to Edge stacks—across diverse uncrewed platforms and sensor payloads. Reporting directly to the Lead Product Manager, you will translate complex multi-domain operational requirements and hardware constraints into structured, actionable engineering roadmaps. Success looks like unified cross-platform releases, advanced AI capabilities delivered on edge assets, robust sensor integration cycles, and reliable platform software performance across all deployment domains. WHAT YOU WILL DO AT STARK Specify Concepts of Operation, system and subsystem product requirements, and acceptance criteria Incorporate customer requirements, operator and customer feedback, and the wider STARK product vision into scalable Minerva versions across different uncrewed platforms and handheld control systems Establish metrics and acceptance criteria for cross-platform software stability, data latency, and sensor fusion reliability Define expectations and priorities for AI systems running within edge constraints Collaborate closely with Lead Product Manager, Product Owners and Technical Product Managers, and Engineering Leads to evaluate technical trade-offs across edge computing and C2 capabilities Collaborate with system engineers and hardware teams across different hardware platforms to ensure Minerva edge software delivers maximum performance Work directly with engineering leads and product colleagues to track sprint progress and remove blockers Support integration compliance with military communication standards and protocols (e.g., SAPIENT, TAK, SitaWare) Ensure the Minerva stack and development processes respect industry audit requirements (e.g. AQAP) Anticipate tests and validations and collaborate with IV&V, Product Safety, InfoSec, Configuration Management colleagues to ensure fast release turnarounds without compromising on safety and security WHAT YOU BRING TO THE MISSION 3+ years of technical product management or product ownership experience software-heavy or complex systems environment Demonstrated experience supporting complex software integration projects across hardware devices, sensors, or edge computing stacks Strong technical literacy in software architecture, APIs, and data integration patterns Experience with foundational AI systems (e.g. in computer vision, localisation) Proven track record of defining product specifications, backlog grooming, and user stories for agile engineering teams Excellent cross-functional collaboration skills, with the ability to bridge hardware, software, and operational perspectives Fluent English verbal and written communication skills NICE TO HAVE Experience with defence tech, C2 systems, robotics, or autonomous unmanned vehicles Familiarity with sensor integration (Radar, EO/IR, LiDAR) and defence protocols (TAK, SAPIENT) Experience with software products designed for degraded or offline tactical network conditions Experience with hardware/software integrations If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English . We're looking forward to meeting you! SECURITY CLEARANCE Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. EQUAL OPPORTUNITY We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law. DATA PRIVACY STATEMENT This data privacy statement, which refers exclusively to data collected as part of the online application process, is to inform you about how your personal data that is collected as part of the online application process is handled at our end. The controller The controller under data protection law is: SKD SE Französische Strasse 12, 10117 Berlin Commercial register entry number: HRB 260878 Registration Court: Amtsgericht Charlottenburg Data Protection officer: heyData GmbH, Schützenstraße 5, 10117 Berlin, www.heydata.eu , ----- Personal data collected as part of the application process Personal data means any information concerning the personal or material circumstances of an identified or identifiable individual. This includes information such as, for example, your name, address, telephone number and date of birth, but also data relating to your specific career etc. by reference to which a specific individual can be identified with reasonable effort. However, information which cannot be (in)directly associated with your real-life identity is not personal data. Fundamentals and purposes of processing personal data collected from application documents and during the application process If you apply to us electronically, i.e. via e-mail or using our online form, we will collect and process your personal data for the purpose of executing the application process and preparing contracts. By submitting an application via our recruitment website, you express your interest in taking up work with us. In this context, you transmit personal data, which we will use and store exclusively for the purpose of your job search / application process. In particular, the following data is collected during this process: name (first and last names) e-mail address phone number LinkedIn profile (optional) channel through which you found us Furthermore, you can choose to upload expressive documents such as a cover letter, your CV and reference letters. These may contain additional personal data such as date of birth, address etc. Only authorized HR staff and/or staff involved in the application process have access to your data. The personal data is stored, as a rule, exclusively for the purpose of filling the vacancy for which you have applied. Your data will be stored for a period of 180 days after the application process has been concluded. This is usually done to fulfill legal requirements and/or defending ourselves against any claims arising from legal provisions. After this period, we are obligated to delete or anonymize your data. In case of anonymization, the data will only be available to us in the form of so-called metadata, without any direct personal reference, for statistical analysis (for example, share of male and/or female applicants, number of applications per specified period of time etc.). Furthermore, we reserve the right to store your data for 180 days after the application process has been concluded for the purpose of adding it to our Talent Pool in order to identify any other vacancies that may be of interest to you. This includes, for example, applications for apprenticeships or internships. By accepting the data privacy statement, you consent to any further storage of your data as well as its inclusion in our Talent Pool. Should you be offered and accept a position with us during the application process, we will store the personal data collected as part of the application process for at least the duration of your employment. Disclosure of data to third parties Data transmitted as part of your application will be transferred using TLS encryption and stored in a database. This database is operated by Greenhouse, which offers a human resource and applicant management software solution (https://www.greenhouse.com/data-processing-addendum). In this context, Greenhouse is our processor under article 28 of the GDPR. In this case, the processing is based on an agreement for the processing of orders between us as the controller and Greenhouse. Rights of data subjects If we as the controller process personal data, you as the data subject have certain rights under Chapter III of the EU General Data Protection Regulation (GDPR), depending on the legal basis and the purpose of the processing, in particular the right of access (article 15 of the GDPR) and the rights to rectification (article 16 of the GDPR), erasure (article 17 of the GDPR), restriction of processing (article 18 of the GDPR), and data portability (article 20 of the GDPR), as well as the right to object (article 21 of the GDPR). If the personal data is processed with your consent, you have the right to withdraw this consent under article 7 III of the GDPR. To assert your rights as a data subject in relation to the data processed during this online application process, please refer to our Data Protection Officer (see item 2). Concluding provisions We reserve the right to adjust this data privacy statement at any point in time to ensure that it is in line with the current legal requirements at all times, or in order to accommodate changes in the application process or other processes. In this case, the new data privacy statement applies to any later visit of this recruitment website or any later job application. LEGAL NOTICE 1. Information according to § 5 DDG SKD SE Französische Str. 12 10117 Berlin Internet: www.stark-defence.com E-Mail: ----- SKD SE, Berlin (registered office of the company), is a Societas Europaea (legal form for joint stock companies), registered at the district court of Berlin (Charlottenburg) under the register number: HRB 260878 B, represented by the Executive Board: Uwe Horstmann, Dr. André Schneider, Johannes Schaback, Jan-Patrick Helmsen, Martin Rost. Chairman of the Supervisory Board is Mr. Robert Maier. VAT ID No.: DE369778559 2. Liability We are responsible for the content of our website in accordance with the provisions of general law. All content is created with the necessary care and to the best of our knowledge and is for information purposes only. Insofar as we refer on our Internet pages to the Internet pages of third parties by means of hyperlinks, we cannot accept any liability for guarantee that the linked content is always up to date, correct and complete, as this content is outside our responsibility and we have no influence on its future design. If, in your opinion, content violates applicable law or is inappropriate, please let us know. The legal information on this page as well as all questions and disputes in connection with the design of this website are subject to the law of the Federal Republic of Germany. 3. Data Protection You can find our data protection information here. There you will also find the contact details of our data protection officer. 4. Copyright Information The texts, images, photos, videos and graphics on our website are generally protected by copyright. Any unauthorized use (in particular the reproduction, editing or distribution) of this copyright-protected content is therefore prohibited. If you intend to use this content or parts thereof, please contact us in advance using the details above. If we are not ourselves the owner of the required copyright usage rights, we will endeavor to arrange contact with the entitled party. Find more English Speaking Jobs in Germany on Arbeitnow

Orbital is the AI platform for real estate legal work. Real estate shapes the world around us: our homes, our workplaces and our cultural landmarks. It's the infrastructure that powers everyday life and is the world's largest asset class. Yet behind every single deal, real estate and legal teams work hard to navigate decades-old complexity; manually connecting documents, hidden obligations, geo-spatial context, and multiple parties into a path forward. We connect the legal and physical record, so that path is clearer than ever before. Our mission is to make real estate transactions faster, clearer, and less manual. Here, you'll be part of changing how the deals behind the largest asset class get transacted, and will help shape the future of real estate. A bit about us: 🚀 We're building at the forefront of AI technology, without losing the deeply human expertise our clients depend on. 🏢 Orbital is built with former practising real estate lawyers and 250+ years of combined legal expertise. We're purpose-built for the complexity of real estate: accelerating due diligence, drafting and negotiation, and deal coordination with legal-grade precision. 💰 We've just raised a $60m Series B, led by Brighton Park Capital, to accelerate our global expansion – $75m raised to date. 🤝 We're trusted by 5,000+ real estate professionals, spanning UK Magic Circle and US Am Law 100 firms, to household names like M&S. Leading firms like BCLP, Orrick, Goodwin, Womble Bond Dickinson and Clifford Chance rely on Orbital to remove the busywork, freeing legal and real estate teams to focus on sharp judgment, standout client service, and closing deals faster. 💡 Working at Orbital means joining a bold, ambitious team, with the trust to take ownership and make a real impact from day one. About the role As the Senior People Partner you'll be the sole dedicated Partner partnering directly with our Product Engineering leadership and team while also owning the design and build of people solutions that actually scale. What you'll be doing You'll sit across two layers of how our People function operates: Partner and Product. As a Partner, you'll work closely with Product Engineering leadership, coaching them through performance, team health, and people challenges, and building the kind of trusted relationships that give you real signal on what needs fixing. This leadership audience moves fast, has a high bar, and wants a peer, not a support function. As a Product builder, you'll take those insights and turn them into scalable solutions. Frameworks, enablement tools, programmes, and processes that don't just solve the immediate problem but grow with the business. Your early focus will include owning and launching our line manager capability programme, and building a trusted partnership with the Product Engineering leadership team. You'll also be central to delivering our High Performance mentality for Product Engineering: high performers recognised, under performers managed with clarity, middle band genuinely enabled. You'll help shape the roadmap, not just inherit one. What you'll enjoy about this role You'll have real proximity to leadership and genuine autonomy over how you build. The Product Engineering team will push back on you and expects you to push back too. If that sounds like the right kind of challenge, you'll thrive here. You're also joining at the moment it matters where it's early enough to shape how this function is built. What this role is not This isn't a role for someone who needs a playbook to get started as it will be quite reactive and chaotic for the first few months, at least until you get your feet under the desk, understand the gaps and how proactive process can improve the workload. It's not right for someone who's stronger on one side of either the partnering or the building, because both genuinely matter. If you're looking for a steady state to manage, this isn't it. What we're looking for Strong People Partnering experience, ideally supporting Engineering, Product or Technical teams UK employment law you can own end to end: complex ER cases, your call, no hand-holding A product manager's instinct: you diagnose before you design, and you measure what you ship Energised by ambiguity and building from scratch Both the strategic thinking and the hands-on drive to see things through Confident to push back on senior stakeholders, and the judgement to know how Curious about AI and technology and actively looking for ways to work smarter Scale-up background in tech or legaltech, Series A-C, 50-400 people, is a strong plus The process Screening call (60 min) Hiring Manager call (60 min) Take-home task On-site panel and culture conversation (90 min) Offer 🔒 Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. 💡 At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. 💰 This hiring range is a reasonable estimate of the base pay range for this position at the time of posting . Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements. Everyone who works with Orbital goes through background screening before they start. It's part of how we keep Orbital secure, for the people who work here and for the client information we're trusted with. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Zone: Eastern Urban ZoneLocation: Dr. Leonard A. Miller CentreTrades Worker II - Power Engineer (2 positions)Plant MaintenanceTemporary, Call-InNAPE HSHours: Based on the needs of the department (8 and 12-hour shifts; days, evenings, nights, weekends, on-call)Salary: CG-29 (CAD 27.61 - CAD 30.67 per hour)Competition Number: VAC0023304Posted Date: 2026-04-01Closing Date: Open until filledJob SummaryThe Trades Worker II - Power Engineer operates high pressure steam plants and auxiliary equipment such as steam boilers, hydronic boilers, air handling units, cooling systems, related system controls, heat exchangers, chillers, medical gas systems, compressed air systems, emergency power systems, uninterruptible power supply systems, and reverse osmosis system. The Trades Worker II performs regular checks and verifies correct operation of safety controls for systems described; performs demand and preventative maintenance on boilers and other equipment/systems as needed and operates various power tools. They calibrate equipment/machinery; record and interpret readings of all plant equipment and various systems; maintain records; perform chemical tests on water systems for boilers and other equipment and test emergency power system. The Trades Worker will schedule and prepare for annual inspection and cleaning of high-pressure steam boilers, hot water tanks, motors and pumps. They will also provide training to students and new employees. This position works independently on shift and is responsible for the plant and other assigned equipment/systems.Job DemandsBy applying for this job, you acknowledge an understanding that regular requirements and demands of this job include (but are not limited to):Constantly lifts, carries or moves objects up to 11 lbs., regularly between 11 - 44 lbs. and occasionally over 44 lbs.Regularly requires physical effort using tools that require accurate control and steadiness, maintaining physical balance, standing, walking, climbing, using gross and fine motor skills, and working in awkward or cramped positions requiring strength and/or endurance.Work is impacted by time pressures/deadlines, interruptions and lack of control over workpace as priorities change, services being interrupted, etc.Job QualificationsA valid fourth (4th) Class Power Engineer's Certificate as issued by the Province of Newfoundland and Labrador is required.Class 5 Driver's License is a condition of employment.Experience in Power Engineering is preferred.A satisfactory record of work performance and attendance is required.

An Introduction to Primer Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform. Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on. Watch our showcase > Read up on our $100m Series C Learn more about our culture > Primer processes payments for some of the world's best companies, which makes us an attractive target and means getting detection and response right really matters. We're looking for a Security Engineer to join our Detection & Response function and own a meaningful slice of how we detect, investigate and respond to threats across our cloud infrastructure and SaaS estate. You'll write and tune the detections in our SIEM, build the automation that speeds up how we react, and be a first responder when something looks wrong. You'll have real ownership of the areas you work on, and the freedom to shape how we detect and respond to threats across them. You'll also work closely with our Application Security/Product Security engineers: what we learn from detections and incidents shapes how we build, and what they know about our products shapes what we look for. What you'll be doing Detection Build, tune and maintain detections in our SIEM (Elastic), and identify opportunities to onboard new log sources (e.g. AWS, Google Workspace, Kubernetes) and build new detections on top of them. Find what our current detections miss, and keep the rule set lean by removing what no longer adds value. Use Python and Terraform to build and maintain the infrastructure behind your detections and tooling. Response Own investigation: triage, investigate, escalate and resolve security incidents, and write up findings clearly enough to stand on their own Lead routine incidents end to end, and take a clear role in larger ones, whether that's driving the investigation or keeping stakeholders informed Build runbooks and automations (Python, Tines or similar) to cut manual work out of triage and response Join our on-call rotation for incident response and monitoring Across both Make and document risk decisions in your area, and know when to pull in others. Keep the controls you own audit-ready and contribute evidence for audits (e.g. SOC 2, PCI DSS). Use AI tools to work faster across detection and response, from drafting rules and queries to summarising investigations, while maintaining a healthy level of scepticism. What we're looking for Real experience responding to security incidents, from first alert through to write-up Hands-on experience writing and tuning detections in a SIEM (Elastic, Splunk or similar), using frameworks like MITRE ATT&CK to reason about coverage Experience with cloud-native detection and response in AWS or Google Cloud Comfortable with Python or Go for scripting and automation Clear, structured written communication, including under pressure Nice to have Experience with Terraform or other infrastructure-as-code Experience with no-code security automation or SOAR-style tooling Exposure to compliance frameworks like PCI DSS, SOC 2 or ISO27001 Background in fintech, payments or another regulated industry Experience using AI tools or agents in security work, and a clear view of where they help and where they don't ✅ A typical interview process An initial intro call with a Talent Partner An interview with the Hiring Manager Challenge Stage - Contextualised to the role A final, values-alignment interview What's the culture like at Primer? We're building a culture where people can do their best work and be proud of the impact they have. You'll be working with people who are mission-driven, smart, and reflective, and who are genuinely invested in building exceptional products and delivering success for our merchants. We work remotely, and have done since day one. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships through great remote working practices and thoughtfully designed face-to-face time, including workations, our annual company retreat, and access to co-working spaces across most major cities. The work is challenging. Scaleups are a challenge, and building category-defining products is a challenge. But there's a meaningful difference between a challenge and a struggle. At Primer, the right challenge comes with the right support: strong onboarding, a collaborative environment, and a team that is genuinely invested in your success. It's never something you face alone. Our benefits 🌍 We are fully remote and globally distributed; and have been since day one 💰 Competitive share options 🌴 Flexible holiday, with 25 days minimum to be taken 🗣️ Co-working space access across major cities 📅 Workations & Company Retreat 💻 The best equipment for your role 🏠 £500 towards your home office setup 🔎 Generous learning budget 🏥 Private Medical Insurance 📈 A broad set of additional perks and benefits ( depending on location) Don't meet every single requirement? At Primer, we're dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification listed, we encourage you to apply. You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees and adopts a zero-tolerance approach to discrimination, regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, marriage and civil partnership, or any other background or belief. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. About the role As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments. You will design end-to-end system architectures that connect Parloa's platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients. You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent behavior. Architecture and integration depth are the core of this role. Conversational design skills are valued and can be developed on the job. Areas of ownership Design end-to-end solution architectures for AI Agent deployments, mapping how Parloa's platform integrates into customers' enterprise systems (CRMs, ERPs, ticketing systems, contact center platforms). Build and configure integrations using integration platforms and APIs, applying systems thinking to solve complex, multi-system data flows. Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance under real-world conditions. Identify and resolve blockers together with other departments at Parloa (e.g., Product, Solution Engineering, Sales) and the customer. Scope AI Agent deployments, providing strategic architecture advice and execution support to customers and partners. Use your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design prompts for reliable, user-aligned agent behavior. Translate complex customer workflows into structured conversational components that LLMs can execute reliably. Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team. Who you are 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration. Strong systems thinking, with a track record of solving complex technical problems across multiple systems and data sources. Experience with complex SaaS implementations at scale (CRMs, ERPs, contact center platforms, ticketing systems). Proficiency in REST API design, JSON/XML data structures, API testing tools (e.g., Postman), and API authentication patterns (OAuth, API keys, JWT). Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic. Analytical and critical thinker with expertise in risk assessment and problem-solving. Strong project and stakeholder management skills, with a passion for meeting milestones and effective communication. Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact. Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, with attention to subtle conversational nuance and A/B testing to assess agent performance. Prior conversation design, prompt engineering (e.g., chain-of-thought, few-shot learning), or A/B testing experience is a plus, not a requirement - we will train this. Fluency in French and English is required Our Recruiting Process: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser Why Parloa? We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it. At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more . * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics. Find Jobs in France on Arbeitnow

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: solution go-live, solution adoption, initial value realization support and the long-term success of our customers. The Role As a Lead / Principal Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with AI-augmented workflows to deliver high-quality outcomes, fast. You use Celonis's AI deployment tools as your primary instruments - directing agents to build data models, generate analyses, and configure operational solutions, while applying your own judgment to validate outputs, adapt to customer context, and ensure business relevance. This is not a traditional consulting role where you build everything manually. You are an AI-augmented delivery professional: you specify what needs to be built, direct AI agents to execute wherever possible, validate the results, and iterate with the customer. You generate value by understanding the customer's business, translating their needs into technical specifications and solutions, and ensuring the platform delivers measurable impact. The Work You'll Do Initiate and Connect Conduct business discovery workshops to translate customers' strategic objectives into high-impact Celonis use cases Collaborate with the customer's IT and business stakeholders to define project scope, data requirements, and success criteria Ensure data connectivity and extraction pipelines are properly configured, working with specialist resources if required Build & Value Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements Build and configure Celonis solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights Identify process inefficiencies and root causes using Celonis technology, always in close collaboration with the customer Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot Lead value creation workshops and define measures to improve process inefficiencies Define and build KPIs measuring the customer's success and quantify business impact Design and build operational solutions to drive value, adoption and improve process conformance Rollout, Adoption, and Handover Enable key customer users to use and extend the solution independently, setting the foundation for long-term adoption Manage project outcomes against timelines, scope, and customer expectations Train and demonstrate to customer users, guiding them on the path to sustained value Document solution design decisions and configurations for future reference and handoff Domain & Industry Depth Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals Translate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverage Proactively identify and standardize high-value use cases within your domain, collaborating with Product and Business Apps teams to shape the platform roadmap What Makes This Role Different in the AI Era You work with AI agents as your primary tools - your job is to direct, validate, and refine their output, not to write every line of code or build every analysis manually You need strong specification and context engineering skills - the ability to translate a customer's ambiguous business need into a precise instruction that an AI agent can execute correctly You are expected to continuously learn and adapt as AI capabilities evolve, experimenting with new approaches and sharing what works with your peers You balance speed with quality - AI accelerates execution, but you own the judgment calls on whether the output is right for this customer You think in sustainable software solutions. While AI agents will generate first results quickly, you need to ensure that the operational solutions you build in Celonis are robust, user friendly, maintainable, and scalable The Qualifications You Need Experience: 7+ years minimum in Management or IT consulting, data/solution consulting, or process improvement consulting within software vendors, consulting firms, or system integrators. Platform skills: Ability to build and configure solutions on the Celonis platform, including data modeling, process analysis, KPI definition, and automation. Proficiency in PQL, SQL, and Python. AI fluency: Comfort working with AI-assisted development tools (e.g., Claude Code, Codex, Cursor, etc.). Ability to write clear specifications, evaluate AI-generated outputs, and iterate effectively. Experience with prompt engineering or context engineering is a strong plus. Business and process domain expertise : Strong understanding /deep expertise (based on seniority level) of enterprise business processes and financial metrics. Knowledge of standard ERPs (SAP, Oracle) and process areas (Inventory Management, Order to Cash, Procure to Pay, Accounts Payable) is a strong plus. Consulting skills: Ability to steer customer workshops, present findings to management, manage stakeholder expectations, and deliver outcomes in the face of adversity and ambiguity. Comfortable working with both technical and business audiences. Analytical mindset: Excellent problem-solving skills with a value-driven orientation. Ability to translate business requirements into technical solutions and quantify business impact. Learning agility: Willingness to continuously develop expertise through experimentation. Comfort with ambiguity and evolving tools. Education: Bachelor's or Master's in Technology Management, Business Informatics, Computer Science, Engineering, Business Administration, or a comparable field. Languages: Fluency in English and German required. Travel : Willingness to travel to customer location up to 50%, according to customer requirement and project delivery phases. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI's operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here . Find Jobs in Germany on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers. What You Will Do Operating System & Automation Build the secure-by-design operating system that links our tooling stack to the Solutions team's needs, and design the internal tools & automations that raise output per FTE. Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence. Processes, Ways of Working & Cross-Functional Collaboration Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working. What We're Looking For 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. Native-level fluency in English; additional European languages are a plus. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find Jobs in France on Arbeitnow

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here's what this particular role covers. 🛠️ About our Data Enrichment Teams Our Data Enrichment team builds the ground-truth datasets and classifiers that describe complex driving scenes across Wayve's data corpus. Drawing on Wayve's World Foundation Model, we help teams find rare scenarios, expose performance gaps and develop better perception and driving models, supporting the safety and reliability of Wayve's ADAS and AI Driver products. As a Machine Learning Engineer, Data Enrichment, you will tackle computer vision problems spanning road geometry, spatial relationships, road users and driving behaviour. 🧠 Your day-to-day • Work with internal customers to define scene and scenario attributes, dataset requirements and measurable acceptance criteria for annotations and classifiers • Design and refine annotation tasks and labelling instructions, using pilots, annotator agreement and expert review to resolve ambiguity and measure quality • Curate and deliver ground-truth datasets for other teams to train and evaluate models, addressing rare scenarios, class imbalance and coverage across countries and vehicle platforms • Build and evaluate computer vision models that draw on Wayve's World Foundation Model to identify scene attributes and driving behaviours • Use error analysis to identify gaps in data, labels and model performance, and test approaches to improve them 🧩 What you'll be working on • Ground-truth datasets and classifiers that describe road geometry, spatial relationships, road users and driving behaviour • Integrating classifiers with enrichment infrastructure to run inference across existing and newly collected driving data, making predictions available for corpus analysis and scenario mining • Improving reusable tools for annotation, training, evaluation and inference • Documenting dataset and classifier quality, and communicating limitations to colleagues across disciplines 🙌 You should apply if • You have practical experience developing and evaluating computer vision models for image or video understanding, including interpreting spatial relationships in visual data • You have strong Python programming skills and experience with a modern machine learning framework such as PyTorch • You have experience curating training and evaluation datasets and assessing annotation quality, with an understanding of class imbalance, data leakage and representative evaluation • You have taken machine learning models beyond experimentation into use, with reproducible training, evaluation and inference • You can investigate model failures and determine whether improvements need better data, clearer labels or changes to the modelling approach • You can translate an ambiguous customer request into clear technical deliverables and quality criteria, and communicate performance and limitations to colleagues from different disciplines • Desirable: experience with 3D geometry, multi-camera systems or temporal scene understanding; autonomous driving, ADAS or robotics; adapting pretrained, foundation or vision-language models; human annotation workflows, active learning or model-assisted labelling; SQL, distributed data processing and batch inference 🌱 Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency Interviews (Programming in Python and MLE domain interview) Deep-dive technical interviews (systems design and hiring manager interview) Final interview : mission & values alignment. We'll always explain the format and work around your availability. What's in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. Find Jobs in United Kingdom on Arbeitnow

The Gecko platform is the core engine of our product experience. To maintain competitiveness and user satisfaction, we must move beyond surface-level metrics to understand the deep correlations between engine performance and real-world user behavior. We currently face challenges with data quality, such as bot contamination in nightly telemetry, which obscures our understanding of true performance trends. A dedicated analyst is required to bridge the gap between engineering telemetry and actionable product strategy, ensuring that leadership has high-fidelity data to prioritize performance guardrails and technical budgets. Engineering Deliverables Automated Dashboards: Create and maintain high-level overview dashboards that translate complex performance data into consumable formats for Product Managers and leadership. Telemetry Gap Analysis: Audit the Gecko codebase to identify missing collection points or "probes" necessary for a complete understanding of the product experience. Data Sanitization Frameworks: Develop methodologies and tools to identify and filter data inconsistencies, specifically focusing on isolating bot traffic and hardware-specific noise from telemetry streams. Behavioral Inference Reports: Deliver deep-dive analyses correlating technical performance shifts (e.g., LCP, eTLD+1) with user-facing pain points and engagement trends. Scope, Skills, and Effort Estimate Scope The analyst will focus exclusively on Gecko engine telemetry across multiple platforms (Desktop and Android), collaborating with the Performance Team, Data Team, and Product Leadership. Required Skills Technical: Advanced SQL (BigQuery/Redash), proficiency in data visualization using AI tooling, and experience with statistical analysis (e.g., Pearson's correlation, multivariate analysis). Knowledge of Rust/C++ is a strong plus. Strong proficiency with AI tools like Claude Code, Codex, or similar is highly desirable. Domain Knowledge: Ability to understand browser component interactions and their impact on user experience. Soft Skills: Proven ability to work independently, translating technical requirements into business insights. Independent problem solving: Comfortable working in unfamiliar technical problem spaces and figuring out a path forward with minimal guidance, using documentation, experimentation, source code, data, and other available resources . Hiring Ranges: Remote Germany $62,100 — $82,800 USD Find Jobs in Germany on Arbeitnow

Senior Data Analyst, Marketplace Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. T he role As Prolific scales, maintaining a healthy and sustainable marketplace will be critical to our ability to meet growing demand for high-quality human data. We are looking for a Senior Data Analyst to help us understand how well our marketplace is working, identify where supply and demand are not connecting effectively, and measure whether product and algorithmic improvements are delivering better outcomes. You will work closely with Product, Engineering and Operations teams, using data to answer important marketplace questions and support better product decisions. What you'll bring to the role Strong Analytics Skills: Strong SQL skills and experience analysing complex datasets. Python experience for analysis and experimentation is beneficial. Marketplace or Product Analytics: Experience working with marketplace, product or operational data and using metrics to understand user and business behaviour. Marketplace Metrics: Ability to work with measures such as supply and demand, fill rate, time-to-fill, availability, quality and concentration to understand marketplace performance. Experimentation: Experience analysing A/B tests or other experiments, including defining success metrics, interpreting results and communicating findings. Product Thinking: Ability to turn product or marketplace questions into measurable hypotheses and structured analysis. Analytical Curiosity: Comfortable exploring data to understand why something is happening, rather than only reporting what happened. Commercial Awareness: Ability to understand how marketplace performance affects customer experience and wider business outcomes. Collaboration: Comfortable working with Product, Engineering and Operations teams and contributing analytical thinking to cross-functional work. Clear Communication: Ability to translate analysis into simple, actionable insights for both technical and non-technical stakeholders. What you'll be doing Help define, monitor and improve the metrics we use to understand marketplace health , including supply-demand balance, fulfilment, quality and concentration. Analyse marketplace performance and investigate changes in metrics such as fill rate, time-to-fill, participant availability and quality. Work with product and engineering teams to define success metrics and measure the impact of product and algorithmic improvements. Analyse experiments to understand whether changes to matching, ranking, recommendation or other marketplace experiences are improving outcomes. Build and maintain dashboards and reporting that make marketplace performance visible and actionable. Use SQL and other analytical tools to investigate marketplace behaviour, identify trends and surface opportunities or problems. Explore how marketplace outcomes differ across customers, participants, use cases and segments. Communicate findings clearly and help teams make data-informed product and operational decisions. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. Links to more information on Prolific Benefits External Handbook Website YouTube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information. Find Jobs in United Kingdom on Arbeitnow

The Gecko platform is the core engine of our product experience. To maintain competitiveness and user satisfaction, we must move beyond surface-level metrics to understand the deep correlations between engine performance and real-world user behavior. We currently face challenges with data quality, such as bot contamination in nightly telemetry, which obscures our understanding of true performance trends. A dedicated analyst is required to bridge the gap between engineering telemetry and actionable product strategy, ensuring that leadership has high-fidelity data to prioritize performance guardrails and technical budgets. Engineering Deliverables Automated Dashboards: Create and maintain high-level overview dashboards that translate complex performance data into consumable formats for Product Managers and leadership. Telemetry Gap Analysis: Audit the Gecko codebase to identify missing collection points or "probes" necessary for a complete understanding of the product experience. Data Sanitization Frameworks: Develop methodologies and tools to identify and filter data inconsistencies, specifically focusing on isolating bot traffic and hardware-specific noise from telemetry streams. Behavioral Inference Reports: Deliver deep-dive analyses correlating technical performance shifts (e.g., LCP, eTLD+1) with user-facing pain points and engagement trends. Scope, Skills, and Effort Estimate Scope The analyst will focus exclusively on Gecko engine telemetry across multiple platforms (Desktop and Android), collaborating with the Performance Team, Data Team, and Product Leadership. Required Skills Technical: Advanced SQL (BigQuery/Redash), proficiency in data visualization using AI tooling, and experience with statistical analysis (e.g., Pearson's correlation, multivariate analysis). Knowledge of Rust/C++ is a strong plus. Strong proficiency with AI tools like Claude Code, Codex, or similar is highly desirable. Domain Knowledge: Ability to understand browser component interactions and their impact on user experience. Soft Skills: Proven ability to work independently, translating technical requirements into business insights. Independent problem solving: Comfortable working in unfamiliar technical problem spaces and figuring out a path forward with minimal guidance, using documentation, experimentation, source code, data, and other available resources . Hiring Ranges: Remote UK £58,500 — £78,000 GBP Find Jobs in United Kingdom on Arbeitnow