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Staff Machine Learning Engineer, Ads Foundational Representations
Full TimeFully RemotePrincipal
pythongcpbigquerymachine learningnlptensorflow+10

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. The Ads Foundational Representations (AFR) team develops signals and representations of Reddit's core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Staff ML Engineer , you'll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation). Responsibilities Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads. Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Required Qualifications: 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. Find Jobs in United Kingdom on Arbeitnow

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Data Scientist - Product Analytics
Elevenlabs
ElevenlabsRemote (Fully Remote)30 days ago
Full TimeFully RemoteMid
pythonsqldbtdata sciencedbtdbt+4

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist - Product Analytics to join our Growth Data team. You'll own the analysis behind how people discover, adopt and stick with ElevenLabs' products, partnering closely with Product, Growth and the central Data team's certified metrics layer. Define and own product health metrics: activation, feature adoption, retention and engagement across ElevenCreative, ElevenAgents and ElevenAPI. Design, analyse and communicate the results of product experiments (A/B tests, feature launches, onboarding changes). Partner with Analytics Engineering on the certified product KPI layer in dbt, and with Product on turning ambiguous questions into trusted analysis. Work alongside fellow Growth data scientists on marketing- and revenue-adjacent questions that touch the product funnel. Requirements Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company. Strong SQL and Python , with hands-on experience in experimentation (A/B testing) and product analytics. Ability to translate ambiguous product questions into clear, reusable analysis and defensible metrics. Comfort working directly with Product and Growth stakeholders , and pushing back on ill-defined asks. Structured thinker who can move fast without sacrificing rigour. Bonus Experience with activation / retention modelling or lifecycle analytics at a consumer or prosumer product. Experience with dbt or a modern warehouse, partnering directly with analytics engineers. Experience using AI tools or agents to speed up analysis or enable self-serve data access. Growth potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: Grow into a Senior or Staff Product Data Scientist role as the Growth Data team scales. Expand scope across additional product lines (ElevenAgents, ElevenAPI). Path into a Growth Data Science lead or broader data leadership track. Location This role is remote-first. [please fill with specific location / timezone requirements]. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find Jobs in Switzerland on Arbeitnow

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Senior Analytics Engineer (f/m/d)
Full TimeOn-siteSenior
gosqlsnowflakebigqueryredshiftdbt+4

🎤 Why voize? Because we're more than just a job! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people . Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we're looking for you to join us on this mission! 💡 Your Mission: One source of truth for a company that runs on data As Senior Analytics Engineer , you own voize's company data from the warehouse to the dashboards. You'll be part of our Data & AI function - ensuring the data voize and our AI layer runs on are reliable, safe & scalable. The modern stack (Redshift, dbt, Fivetran, Lightdash) is already live: you make it rock-solid and turn it into the single source of truth the whole company runs on, from ARR to product adoption. As our first dedicated analytics hire, you partner directly with Finance, RevOps, Product, and Customer Success, turning their questions into numbers everyone trusts. 🚀 Your Daily Business - No two days are alike Model company data in dbt on Redshift: layered, tested, documented models built to outlive you Ship and run the company KPI dashboard in Lightdash, plus self-serve analytics for every team Own metric modeling and propose the definitions the whole company runs on. Sign-off sits with data leadership, and you make every number defensible Keep the ingestion layer running day to day (Fivetran connectors, existing ETL jobs), in close coordination with engineering Act as a partner to our teams and turn ambiguous business questions from Finance, RevOps, Product, and CS into trusted, self-serve answers Shape the data foundation before the function scales. As a Head of (Internal) Data & AI and a further Engineers join, you set the standards they inherit and go deeper on the architecture the whole company trusts. 🤝 Your Skillset - What you bring to the table 4+ years owning analytics from the warehouse onwards (modelling, reporting, BI) in production, ideally as an early or founding data hire Deep SQL above all, plus strong dbt (layered models, tests, CI, semantic / metric layers) A cloud data warehouse in production (Redshift ideal; Snowflake or BigQuery with willingness to switch) and a BI tool people actually use Business-facing autonomy: you partner with non-technical stakeholders, propose and defend metric definitions, and ship without waiting for a data team to form around you You document, test, and monitor by default, and finishing the 10% that makes a model trustworthy You know how to leverage AI, you have a track record of automating & building workflows with AI. 🌱 Growing together - what you can expect at voize We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people Become a co-creator of our success with stock options We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses You decide when you work best, that means flexible working hours and a good hybrid set-up. ✨ Ready to talk? Apply now! 🚀 We look forward to your application and can't wait to meet you - no matter who you are or what background you have! Find more English Speaking Jobs in Germany on Arbeitnow

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Data Scientist - Product Analytics
Elevenlabs
ElevenlabsRemote (Fully Remote)30 days ago
Full TimeFully RemoteMid
pythonsqldbtdata sciencedbtdbt+4

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist - Product Analytics to join our Growth Data team. You'll own the analysis behind how people discover, adopt and stick with ElevenLabs' products, partnering closely with Product, Growth and the central Data team's certified metrics layer. Define and own product health metrics: activation, feature adoption, retention and engagement across ElevenCreative, ElevenAgents and ElevenAPI. Design, analyse and communicate the results of product experiments (A/B tests, feature launches, onboarding changes). Partner with Analytics Engineering on the certified product KPI layer in dbt, and with Product on turning ambiguous questions into trusted analysis. Work alongside fellow Growth data scientists on marketing- and revenue-adjacent questions that touch the product funnel. Requirements Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company. Strong SQL and Python , with hands-on experience in experimentation (A/B testing) and product analytics. Ability to translate ambiguous product questions into clear, reusable analysis and defensible metrics. Comfort working directly with Product and Growth stakeholders , and pushing back on ill-defined asks. Structured thinker who can move fast without sacrificing rigour. Bonus Experience with activation / retention modelling or lifecycle analytics at a consumer or prosumer product. Experience with dbt or a modern warehouse, partnering directly with analytics engineers. Experience using AI tools or agents to speed up analysis or enable self-serve data access. Growth potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: Grow into a Senior or Staff Product Data Scientist role as the Growth Data team scales. Expand scope across additional product lines (ElevenAgents, ElevenAPI). Path into a Growth Data Science lead or broader data leadership track. Location This role is remote-first. [please fill with specific location / timezone requirements]. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find Jobs in France on Arbeitnow

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Manager - Tax Data Analytics Engineer
Full TimeOn-siteMid
pythonsqlsnowflakedbtdata sciencekafka+8

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for an experienced Data Analytics Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building the tax data operations function for our Deliveroo and Wolt legal entities. This includes building and operating the data pipelines and infrastructure that power tax analytics and support decision-making across the company. As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience working with Tax teams to gather requirements, and designing scalable data processes to support them.. This person will grow our unique community via your blend of tax, data technology, and process improvement experience. About the Role You will be reporting to the Senior Manager of Tax Data & Operations, and play an integral role in DoorDash's data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users. As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company's exponential growth. What you'll be doing Lead the collection of Tax Data and Reporting requirements through close relationships with Tax team counterparts Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company Develop and optimize data models and warehouse structures to support analytics and reporting Participate in new business initiatives and identify their impact on existing data system(s) and processes. Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources. Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality. Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines. Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners. Participate in defining the Company's data tooling needs, including the maintenance of existing systems. Prepare documentation related to our data systems and processes. Share knowledge and best practices with engineers and analysts across the team. Our humble expectations You have 7+ years of experience in a Tax data & technology or similar role. Experience using Data Build Tool (DBT) or a similar product to manage data flows. Experience using Claude, Cursor and similar AI tools. You are an expert at using SQL with experience using Snowflake. Proficiency in Python (or a comparable language) for building data pipelines. Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka. You have strong attention to detail and analytical, organizational, and problem-solving skills. You're an independently motivated person with a proven ability to manage multiple projects and prioritize work independently. You have excellent written and verbal communication skills. Project management experience, including creation of project plans, milestones, and due dates. Computer Science, Information Technology, Engineering, or a related degree. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in United Kingdom on Arbeitnow

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Senior Applied AI Engineer
CelonisBangalore, India29 days ago
InternshipOn-siteSenior
pythonjavascriptlangchainpandasgraphqlrest+8

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: You will be joining our global Digital and Marketing Operations organization, a central function that enables our global marketing teams to run efficiently and effectively. Our team's mission is to empower all marketing functions, from Field to Brand, with the technology, data, and processes they need to succeed. The Role: As a Senior Applied AI Engineer you will be a key player in building and deploying practical, internal-facing AI solutions that significantly boost the efficiency and effectiveness of our global marketing organization. This is a hands-on, executional role in a fast-paced B2B SaaS environment. You will translate strategic needs into tangible tools that save time, improve data quality, and enable our marketing teams to better serve our customers. You will have a direct impact on how our marketing organization operates, making it more intelligent and data-driven. The work you'll do: Design and build AI-powered solutions to automate key marketing tasks. This includes creating AI agents to assist with creative brief routing and content translation. Develop and implement hybrid solutions that leverage AI to augment human workflows, ensuring a seamless and efficient user experience. Create and manage API integrations to automate data ingestion from various marketing platforms (e.g., Hubspot, Monday.com) into custom built AI solutions. Improve CRM data quality and integrity by developing tools for automated lead-to-account matching, duplicate record removal, and data enrichment. Collaborate with cross-functional teams like Brand and Communications to build AI solutions for content generation (e.g., press releases, social media copy) and real-time market trend analysis. Measure and optimize the business impact of your solutions, ensuring they deliver measurable efficiency gains for our teams. Proactively research and recommend new AI tools and technologies to drive future efficiency and innovation. The qualifications you need: 5-7 years of experience in a development or engineering role, with hands-on experience in building and deploying production-level applications, bots, or automated workflows. Proficiency in Python or other scripting languages like Javascript and a strong understanding of its libraries for data manipulation (e.g., Pandas). Hands-on experience with AI/automation frameworks and platforms such as Langchain, Make, Zapier, or similar tools. Experience with API development and integration using REST and GraphQL. A strong understanding of Large Language Models (LLMs) and a proven ability to apply advanced prompt engineering principles to solve business problems. A strong sense of ownership and a "product-oriented" mindset, with the ability to build user-centric and scalable solutions. Excellent communication skills, with the ability to translate complex technical concepts into clear, business-focused language for non-technical stakeholders. Familiarity with marketing technology platforms (MarTech) such as Salesforce, HubSpot, or Marketo is a significant advantage. Experience working in a B2B SaaS environment is a plus. 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 .

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Associate Applied (AI) Value Engineer (DACH) - Orbit Program
InternshipOn-siteMid
pythonsqloracledatabrickspytorchlangchain+18

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. Location: Madrid for an onboarding period of 2 years and a possible relocation to Munich after. Customer base will be in Germany/DACH area, involving travel to meet clients in person. Role Description As an Applied (AI) Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis' Process Intelligence (PI) platform we feed operational context to AI so it understands our customers' business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. Launch Your Enterprise Software Career - Orbit Graduate program Kickstart your career in enterprise software through our immersive 12-month Orbit Program. During the Orbit Graduate program, you will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to an international community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis. Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in: Discovery & AI Solutioning Building and coding within the Celonis platform (SQL, PQL and Python) Scoping business and technical requirements Effectively handling objections Developing industry domain knowledge Delivering impactful presentations and demos Understanding value selling and realization Managing customer accounts What You'll Do: AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle Hackathons & Prototyping: Think out of the box, have a "can-do" attitude and don't shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform Proof Projects: End-to-end execution of business-critical Proof-of-Value projects showcasing the value of Celonis Process Intelligence tailored to customers and align our solutions with their AI strategy. Specialize in Domains or Industries: To scale knowledge across the organization specialize in domains (e.g. supply chain) and industries Business Impact Presentations: Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives to ensure successful value realization for customers. Ensure Successful Project Outcome: AI Solution Consultants stay involved with projects until agreed value & adoption thresholds are reached Best Practice Modeling: Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools. What You Need: Degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or a related STEM field. Excellent academic performance Extensive internship experience or 1-2 years of full-time work experience. Ideally at the intersection of business and technology. Understanding of generative AI techniques like RAG, few shot learning, prompt/context engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors. Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies. Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges. A customer-centric mindset with a focus on delivering value. Confidence in presenting to diverse audiences. A proactive approach to problem-solving, with a willingness to learn from mistakes. Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment. Strong organizational skills with the ability to prioritize and execute on deadlines. Excellent communication skills and fluency in German and Englis h (must). Italian is a strong plus. Foundational business acumen and domain understanding, e.g. in areas such as Supply Chain. Bonus Points: Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills. Customer-facing, customer success/service, or sales experience. Hands-on experience with technical Proof of Concept projects Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. Supply Chain process experience (Procurement, Order Management, Inventory Management, Production). Experience modeling ROI and TCO for business case justification. Experience with ERPs such as SAP and/or Oracle 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 .

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AI Engineer, Supercomputing, Special Programs - Top Secret Clearance
Full TimeOn-siteMid$135,000 - $230,000 / Year
pythongopulumiterraformkuberneteshelm+9

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. AI ENGINEER, SUPERCOMPUTING, SPECIAL PROGRAMS - TOP SECRET CLEARANCE As an AI Engineer on Special Programs Supercomputing you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well-tested, and foolproof. RESPONSIBILITIES: Design and build the deployment generator. Create and maintain platform documentation. Build the bundle pipeline. Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection. Build and maintain the cross-profile CI matrix. Build the testing and validation framework. Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure. Own the monitoring stack migration. BASIC QUALIFICATIONS: Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline. 1+ years of experience in Go Lang and/or Python. 1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications. PREFERRED SKILLS AND EXPERIENCE: Ability to obtain and maintain a Top Secret or Top Secret SCI clearance. Experience building CI/CD pipelines and deployment automation (Buildkite, GitHub Actions, or equivalent). Familiarity with container image management. Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs. Understanding of Linux systems. Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged. Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking. Experience with PXE boot, cloud-init, squashfs, or other bare metal provisioning technologies. Own the bare metal provisioning pipeline. ADDITIONAL REQUIREMENTS: Must be willing to work extended hours and weekends as needed. 20% travel may be required to government sites. This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs. COMPENSATION AND BENEFITS: Pay range: AI Engineer: $135,000 - $230,000/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

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Lead Deployment Architect
CelonisMunich, Germany29 days ago
InternshipOn-siteSenior
pythonmental healthcounselingarchitecturesalestalent acquisition

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: initial value realization, adoption, and the long-term success of our customers. The Role As a Lead Deployment Architect, you are the technical authority for our strategic accounts within Celonis delivery. You shape how Celonis solutions are designed, architected, and delivered across your portfolio of strategic customer engagements. You define what good delivery looks like - setting architectural standards, designing end-to-end solution strategies, and ensuring that AI-augmented and agentic workflows are deployed effectively at scale. You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customer's C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered - and often shaping the promise itself. This role carries significant organizational leverage. You set delivery patterns that other teams follow. You define how AI agents should be orchestrated for complex, multi-workstream engagements. You work in close collaboration with Deployment Engineers and raise the bar for the entire practice. The Work You'll Do Solution Architecture & Design Support Services scoping in pre-sales, ensuring the right Services are positioned in line with the Celonis solution architecture proposed Design end-to-end Celonis solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographies Define the technical blueprint for how the Celonis platform integrates with customer systems, data strategies, and transformation goals Designing secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency. Make architectural trade-off decisions: build vs. configure, custom vs. standard, phased vs. big-bang - with clear rationale tied to customer outcomes Own solution quality & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow architectural standards AI Orchestration & Delivery Innovation Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical Set standards for AI output validation, ensuring the organization maintains quality as delivery accelerates Customer Strategy & Advisory Serve as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders Translate customer business challenges into Celonis platform strategies, identifying high-impact use cases and defining success metrics Support pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scope Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change Leverage the broader ecosystem of Celonis experts to remove potential blockers in customer engagements Establish deep, technical advisor relationships with customer stakeholders (Lead Data Engineers and Architects, Head of Data Intelligence, Head of Business Transformation) to provide technical reassurance and maintain "Expert-to-Expert" alignment during the course of the deployment Successful Implementation Work together with Deployment Engineers on delivery projects to implement the most complex and cutting edge use cases for our customers Stay on top of the newest technologies Celonis has to offer and own the implementation of early stage products for our customers, ensuring close feedback cycles with Product & Engineering Review Solution(s) Blueprint to ensure quality, scalability and production readiness of business critical and operational use cases 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 in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap Practice Development Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership Ensure the link with Product & Engineering to feed customer insights and field experience back into platform development, and to influence the platform roadmap What Distinguishes This Role from Deployment Engineer Scope: You work across multiple engagements and shape solutions across a portfolio/cluster/industry vertical (4+ concurrent clients) Influence & Practice Development: your Scope allows you to identify and set standards that other teams follow - for solution architecture, AI orchestration patterns, and delivery quality Bridge: You span pre-sales and post-sales, ensuring continuity between what's sold and what's delivered Force multiplier: Your work multiplies the effectiveness of Deployment Engineers rather than substituting for it The Qualifications You Need Experience: 8+ years in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators. At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations (e.g. digital twin implementations, global AI transformations, near-real-time data pipelines, etc.) Architecture skills: Proven ability to design complex, multi-component solutions that span data integration, process intelligence, automation, and AI, while remaining grounded in the "so-what" of a customer's process. Deep understanding of enterprise architecture patterns and trade-offs. Platform mastery: Expert-level knowledge of the Celonis platform, including the Process Intelligence Graph, data modeling, advanced PQL, automation and orchestration engine, and AI modules. Ability to push the platform's boundaries via a working knowledge of Python. AI & agent orchestration: Demonstrated ability to design AI-augmented delivery workflows leveraging frontier tooling (e.g., Claude Code, Codex, Cursor, etc.). Experience with context engineering, multi-agent system design, or AI validation at scale. Ability to define how AI should be used, not just use it. Domain expertise: Deep knowledge in at least one major process domain or industry vertical. Ability to translate domain expertise into scalable solution patterns and credible customer advisory. Customer executive presence: Track record of building trusted advisor relationships with VP and C-level stakeholders. Ability to present transformation strategies, defend architectural decisions, and navigate complex organizational dynamics. Demonstrated experience navigating complex IT landscapes and communicating technical trade-offs to senior leadership. Consulting & communication: Exceptional ability to translate between technical and business audiences. Experience leading workshops, design sessions, and strategic reviews with senior stakeholders. Leadership & mentoring: Demonstrated ability to raise the performance of teams around you. Experience mentoring technical staff, setting quality standards, and contributing to organizational capability development. Education: Bachelor's or Master's in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field. Languages: Fluency in English and German required. 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 .

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Data Analyst (Agentic Search)
Nebius
NebiusLondon, Germany30 days ago
Full TimeOn-siteMid
pythonrarchitecturestatisticsr

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. In this role, you will define what quality means for a search system built for AI agents from day one. In this position, your responsibility will be to Own search-related quality metrics end-to-end: from definition and computation to evolution and transition to next-generation metrics. Design and reason about analytics architecture across the full stack: runtime behaviour → data pipelines → metrics → dashboards. Develop and maintain analytics pipelines and tooling using Python. Translate product, user, and technical requirements into meaningful, actionable metrics. Challenge existing assumptions about quality and push for better, more reliable measurement. Work closely with product managers, engineers, and stakeholders to align analytics with system behavior and business goals. Debug metric anomalies, investigate quality regressions, and propose data-driven improvements. We expect you to have Senior-level experience solving search or search-adjacent analytical problems. Strong exposure to quality metrics in at least one of the following areas: search relevance (web, geo, product, offers), ranking and freshness, ads quality or feed ranking. Ability to think end-to-end across users, products, and technology, not just individual metrics. Solid foundation in mathematical statistics. Strong Python skills and a hands-on engineering mindset. Experience operating in ambiguous environments and driving solutions independently. Clear analytical judgment: understanding why a metric exists, how it evolves, and when it should be retired. Strong communication skills and the ability to align product, engineering, and client perspectives. 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 What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. 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. Find Jobs in United Kingdom on Arbeitnow

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AI First Data Engineer
isolutionsZürich, Germany30 days ago
Full TimeOn-siteMid
pythonazuresqldatabricksdata engineeringpower bi

Was erwartet dich bei uns? Weiterbildung ab Tag 1 : Wir unterstützen dich zeitlich und finanziell bei deiner persönlichen und fachlichen Entwicklung. Starke Unternehmenskultur : Offene Kommunikation, Hilfsbereitschaft, authentische Zusammenarbeit und ein echtes Learn-it-all-Mindset. New Work leben : Flexible Arbeitsorte, Workation in Europa und kultureller Austausch mit Kolleginnen und Kollegen aus Spanien. Teamspirit : Arbeite mit Menschen, die motiviert sind, gemeinsam voranzukommen – und voneinander lernen wollen. Gestaltungsspielraum : Bei uns kannst du aktiv mitgestalten und echten Mehrwert für Kundschaft und Team schaffen. Top Arbeitsumgebung : Modern ausgestattete Büros, unter anderem im Circle am Flughafen Zürich, im PostParc in Bern und an bester Lage in Basel. Einführung Liegt deine Leidenschaft darin, mit AI echten Mehrwert für unsere Kunden zu schaffen und moderne Data- & AI-Lösungen nicht nur zu entwickeln, sondern gemeinsam mit deinem AI-Agententeam erfolgreich in die Produktion zu bringen? Verbindest du technisches Know-how mit Eigenverantwortung, Kundenverständnis und einem echten AI-first Mindset? Denkst du gerne einen Schritt weiter, übernimmst die Führung und hast Freude daran, mit spezialisierten AI-Agenten neue Wege zu gehen? Dann gehörst du in unser Team! Bei uns arbeitest du nicht einfach mit AI – du gestaltest aktiv mit, wie wir als Unternehmen und für unsere Kunden arbeiten. Du gibst deinem AI-Agententeam die Richtung vor, verteilst Aufgaben, triffst Entscheidungen und verantwortest das Ergebnis. Dabei kombinierst du deine Expertise mit spezialisierten Agenten und entwickelst unsere Agenten und Workflows laufend weiter. Dafür stehst du am Morgen auf: Du baust Datenpipelines und Datenmodelle mit Databricks oder Microsoft Fabric auf Azure auf und schaffst damit die Grundlage für moderne AI- und Analytics-Lösungen. Du klärst Anforderungen direkt mit unseren Kunden, stellst die richtigen Fragen, entwickelst passende Lösungsarchitekturen und treibst die Umsetzung eigenständig voran. Du führst dein AI-Agententeam durch Entwicklung, Testing und Dokumentation, verteilst Aufgaben gezielt und stellst die Qualität der Ergebnisse sicher. Du kombinierst deine Engineering-Expertise mit spezialisierten AI-Agenten und entwickelst gemeinsam mit ihnen effiziente Workflows für unsere Projekte. Du machst Daten mit semantischen Modellen und Reports in Power BI für unsere Kunden nutzbar und schaffst damit eine belastbare Basis für Analytics und AI. Du bringst neue AI-Tools und Technologien in unsere tägliche Arbeit ein, experimentierst mit neuen Ansätzen und entwickelst bestehende Workflows kontinuierlich weiter. Du begleitest Kunden in der deutschsprachigen Schweiz und übernimmst Verantwortung dafür, dass aus technischen Lösungen echter Mehrwert entsteht. Wir wünschen uns von dir: Praktische Erfahrung im Data Engineering mit Databricks oder Microsoft Fabric sowie solide SQL- und Python-Kenntnisse. Fundierte Power-BI-Kenntnisse, inklusive Datenmodellierung, DAX und Power Query. Hohe Selbstständigkeit und ausgeprägte Ownership: Du stellst die richtigen Fragen, triffst Entscheidungen und bringst Themen eigenständig ins Ziel. Erfahrung im direkten Kundenkontakt und die Fähigkeit, technische Zusammenhänge verständlich zu vermitteln und gemeinsam mit Kunden passende Lösungen zu entwickeln. Ein ausgeprägtes AI-first Mindset: Du denkst in Agenten und Workflows, probierst neue Tools aus und hinterfragst die Ergebnisse kritisch. Freude daran, Verantwortung für ein Team aus AI-Agenten zu übernehmen, Aufgaben sinnvoll zu orchestrieren und die Qualität des gesamten Ergebnisses sicherzustellen. Neugier und Bereitschaft, dich laufend mit neuen AI-, Azure- und Microsoft-Technologien auseinanderzusetzen. Bereitschaft, Kunden in der deutschsprachigen Schweiz auch vor Ort zu begleiten. Find Jobs in Switzerland on Arbeitnow

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Data and Strategy Analyst
PlentificLondon Office, Germany30 days ago
Full TimeOn-siteMid
gosqldata engineeringlookerdentalinsurance

About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global. Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. About the role Plentific is growing, and so is the number of teams who need clear, reliable data to make decisions. We're hiring a Data & Strategy Analyst to help teams across the business make better data led decisions. You'll turn commercial questions into the right KPIs, dashboards and insights. This is a Commercial role. You'll sit in the Supply Chain team and work with Customer Excellence, Supply Chain Delivery, Go-to-Market and the leadership teams, alongside Data Engineering. Data Engineering builds and models the data. Your job is to understand what the business needs, pick the right measures and give teams answers they can act on. You'll also use AI in your daily work to get to insight faster and cut down on manual reporting. What you'll do Build and own a KPI framework. For each team, work out which KPIs matter, agree clear definitions and keep them consistent so everyone works from one version of the truth. Build dashboards in Looker. Turn existing data into clear, well-designed dashboards for areas such as transactional revenue, contractor supply and performance, and client health. Build predictive workflows. Move teams from looking back to looking ahead. Use trends and leading indicators to flag issues early, such as contractor capacity gaps, at-risk clients or slowing job volumes, and build them into workflows and alerts so teams act before problems land. Identify and size growth opportunities. Spot where we can grow, such as clients with headroom, under-used services, regions with unmet demand or gaps in supply with a clear recommendation and next step. Run commercial analysis. Carry out ad-hoc and strategic deep dives for business cases, board and leadership packs, client reviews and commercial decisions. Work with Data Engineering. When the business needs new data fields or models, turn that need into a clear requirement for the team. Use AI to explore data. Draft insights and speed up analysis, and apply the judgement and checks that keep the output accurate. What success looks like in your first 6 months An agreed, documented KPI set for Supply Chain Delivery and Customer Excellence teams. Used data to map a core process end to end, find where it breaks down, and redesign it to improve the team's performance Core dashboards live and used by those teams in their regular reviews What we're looking for 4-5 years experience in a data, business intelligence, commercial analyst or strategy analyst role Strong hands-on business intelligence tool experience (Looker is preferred), including building dashboards and explores from modelled data A commercial mindset. You can take a vague business question, work out what's really being asked and choose the metrics that answer it. A track record of turning insight into change. You've used data to redesign a process, shape a decision or unlock revenue, not only to report on what happened. Confidence working with stakeholders at every level, from operational teams to senior leadership, including challenging requests and managing priorities Clear communication. You can present data as a story, not just a chart. Well organised, able to juggle requests from several teams at once Nice to have Experience in B2B SaaS, marketplace, property or housing businesses Background in strategy, consulting or operations-focused roles Familiarity with SaaS KPIs such as ARR, NRR, ARPU, NPS and transactional or marketplace KPIs such as GMV, take rate, conversion and supply/demand balance Basic SQL knowledge Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Tech scheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc. Find more English Speaking Jobs in United Kingdom on Arbeitnow

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