Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

Are you passionate about supporting business management through sharp financial analysis? Do you have solid experience crunching data and would like to work in one of the fastest growing tech companies in Europe? If so, then please read on!

About the Team

The Marketing Finance & Strategy team is part of Wolt's Finance & Strategy organization, sitting within the Marketplace & Consumer line of business. We own the budget, forecasting, and efficiency tracking for Wolt's entire marketing investment - spanning Discounts & Promos, Customer Acquisition, and Brand Marketing across 22+ countries and three business lines (Marketplace, New Verticals, Commerce Platform). We work closely with Marketing leadership, regional teams, and DoorDash counterparts to make sure every euro of marketing spend is tracked, forecasted, and evaluated.

We're also one of the most AI-forward teams in Wolt F&S - Cursor, Claude Code, Glean, and custom automation are part of how we work every day.

About the Role

We're looking for a Senior Analyst to own the operational and technical backbone of our team. You'll be responsible for our central Marketing Forecasting Tool (MFT), the monthly closing process, weekly forecast uploads, and the data pipeline that powers our Global Marketing Weekly Business Review. Beyond keeping the engine running, your first major mission is to fix the data foundation: reconciling sources, aligning budget versions, and standardizing metric definitions so that all our numbers tie across every document and system.

This is a role with real end-to-end ownership. You won't just support the process - you'll run it.

What you’ll be doing

• Own the MFT end-to-end: a 30-country forecasting tool that is the central hub for all marketing budget data at Wolt
• Run the monthly closing process for both Discounts & Promos and Customer Acquisition Cost, including actuals validation with regional teams
• Execute weekly forecast uploads to our management reporting systems (Pulse/IBM)
• Build and maintain the data pipeline behind the Global Marketing WBR (Snowflake pulls, OKR updates, data QA)
• Be the first point of contact for budget questions from marketing teams across the organization
• Fix known data inconsistencies between our reporting tools and create a single source of truth
• Build new analytical frameworks (Payback/LTV, M2 Retention tracking) from scratch
• Work with AI tools (Cursor, Glean) from day one to automate and improve how the team operates

Our humble expectations 

• Have 3-5 years of experience in FP&A, management accounting, or finance operations, ideally at a tech company or fast-scaling marketplace
• Are advanced in Excel / Google Sheets and can confidently work in complex, multi-tab models
• Have hands-on SQL / Snowflake experience and can write queries, build data pulls, and maintain pipelines
• Have owned a forecasting or budgeting tool end-to-end before - not just contributed, but ran it
• Are comfortable with month-end closing processes: actuals validation, accruals, variance analysis
• Spot when data sources don't tie - and can't let it go until you've found the root cause
• Are fluent in English

Nice to haves:

• Experience with Python or Google App Scripts for automation
• Familiarity with marketing finance (CAC, CPA, D&P, unit economics)
• Interest in AI-assisted workflows - we'll teach you the tools
• German language skills
• Experience in a multi-country or multi-entity finance environment

Please note that we do not accept applications sent by mail. You should submit your application through our careers website in English!

The Role

We are looking for a hands-on Growth Engineer  to design, implement, and manage scalable API integrations that connect HelloFresh with external partner ecosystems including telecoms, financial providers, loyalty programs, and health/wellness platforms.

This role combines technical execution (building and deploying APIs, data workflows, and automation) with project ownership (defining requirements, managing partners, ensuring delivery).

You will own integrations from design to production, delivering end-to-end partner connectivity that enables subscription bundling, loyalty rewards, account linking, and nutrition data exchange, all while maintaining reliability, compliance, and a seamless customer experience.

What You'll Do

• Integration Implementation: Build and maintain RESTful APIs and webhooks to connect HelloFresh with partner platforms for loyalty rewards and account linking.

• Execution & Support: Develop automation scripts and data workflows to handle recurring syncs and reporting for partner programs.

• Technical Documentation: Maintain high-quality API documentation and partner developer guides to ensure smooth onboarding.

• Reliability: Troubleshoot issues, manage error handling, and ensure the performance of existing integrations.

• Collaboration: Work cross-functionally with Product, Data, and Finance teams to implement business logic for revenue-sharing or benefit application.

What You’ll Bring

• Technical Skills: * Solid experience with RESTful API development (Python/Node.js—familiarity with FastAPI is a plus).

  • Good understanding of OAuth2, webhooks, and how to manage secure data exchange.

  • Experience using API testing tools like Postman and documenting work via Swagger.

  • Familiarity with AWS (containers) and working knowledge of SQL/NoSQL databases.

• Preferred Experience: * Interest or previous exposure to B2B SaaS, fintech, or subscription-based platforms.

  • Familiarity with tools like Snowflake, Contentful, or N8N is a bonus.

• Soft Skills: 

  • Ownership Mindset: A proactive approach to completing tasks and ensuring code quality.

  • Organizational Skills: The ability to manage multiple integration tasks and meet deadlines in a fast-paced environment.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

We are HelloFresh

At HelloFresh we embrace and welcome diversity and we currently employ over 15,000 individuals globally who contribute to this. We employ individuals based on their ability to perform a job rather than on the basis of their: race, national origin, color, caste, social origin or position, gender, gender expression, sexual orientation, religion, age, disability, political opinion, marital status or any other characteristic. We encourage everyone to apply and will give everyone equal consideration. We are an equal opportunity employer – everyone is welcome at our table.

SHOULD YOU ACCEPT THIS CHALLENGE... We are looking for passionate, inspirational, hands-on experts for Everpure's fastest growing and cutting edge team - the Analytics & AI Field Solutions Architects. The Analytics & AI FSAs are highly motivated technical sales resources whose goal is to provide guidance, enablement, and support for all things Analytics & AI focusing on opportunities and partnerships across the DACH sales region.

This architect must understand the clients' overall business, how to position the value of a Everpure Solution, and be an authority on how Everpure exists in various high performance data pipelines.

The "Hunter" Mindset (Internal Strategy & Orchestration) This role requires a proactive mindset—we need an orchestrator, not a passive supporter. You will partner with account teams to review territory plans, identifying "hot topics" and data-heavy strategies within customers to generate AI pipeline. You are responsible for pushing the team internally, ensuring they are effectively qualifying and positioning Analytics & AI opportunities.

The position requires the ability to work cross functionally across Solutions, Marketing, Alliances, Engineering, Enablement, Sales, etc. to align initiatives and go to market campaigns while maintaining technical expertise in all new and upcoming solutions in the space.

What You Will Be Doing

• Content Creation: Creating field facing solutions content (Technical Walkthroughs, Deep Dives, Demos, Qualification Guides, etc.) for specific solutions around Analytics & AI.
• Field Enablement: Mainstreaming solution area and other enablement projects to better equip the field for the first stages of Analytics & AI opportunities.
• Evangelism: Webinars/Events presentations including internal and external content with Alliance Partners, Channel Partners, Vendors, etc.. You should be comfortable and impactful on stage, capable of inspiring the field and attracting customers to adopt Everpure Storage technology.
• Customer Engagement: Participate in customer facing calls, demos, POCS, EBCs, internal strategy/sizing sessions, and other related solution-focused activities.
• Technical Strategy: Staying abreast of advancements in both our internal product offerings (FlashArray, FlashBlade, Portworx), new and updated solutions briefs, and formalizing an enablement plan from those.
• Feedback Loop: Solutions Roadmap participation/influence, daily conversations with Solutions Architects and Product Management about field impact, deals, and feedback from the field on existing solutions, etc..
• Field Testing: Participation/oversight in field testing in order to document anecdotal knowledge about that application and platform, in order to bridge the gap between not having a solution and Solutions officially testing.
• Post-Sales: Post sales assists/troubleshooting with expert level knowledge around solutions.
• Collaboration: Partner with Sales Leaders for two-way feedback and communication. High degree of cross-functional engagement with other GTM and corporate functions.

What You Bring To The Team

• Experience: 5+ years of Pre-sales experience in IT covering both private and public sector accounts.
• Education: Bachelor's Degree in Data Science, Computer Science, or related field / equivalent experience.
• Language: Must speak German and English fluently.
• Technical Acumen (Builders, not just Users):
• We are looking for people who understand the underlying architecture of AI, not just users of tools. You must have strong technical acumen in the Analytics & AI space with deep interest and vision for the industry.
• Strong understanding of the infrastructure (servers, networking, storage, etc) that underpins a high performance environment.
• Knowledge of the Analytics & AI landscape and how they all play together at Everpure for a specific outcome for a customer. This includes various applications/technologies part of a larger data pipeline such as Splunk, Elastic Search, Kafka, Spark, Snowflake, Vertica, TensorFlow, PyTorch, etc..
• Container Knowledge (Beneficial): Experience with modern application stacks is highly desirable. Knowledge of Kubernetes, container orchestration, and container-native storage (e.g., Portworx) in the context of AI pipelines is a strong plus.
• Communication:
• Ability to explain complex concepts in a simple to understand distilled manner to teach account teams and partners about Everpure's Analytics & AI solutions.
• Excellent oral and written communications skills, as well as excellent presentation skills.
• Execution: Previous hands on experience executing PoC's and demonstrations required.
• Problem Solving: Strong technical and tactical problem solving skills and experience with complex engineering designs.
• Travel: Ability to travel up to 50% within the DACH region.
• Work Ethic: Strong work ethic, attitude and follow through ability.

The role in a nutshell:

We’re looking for a Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact.

What you’ll do:

• Be the frontline agent: Triage, investigate, reproduce, manage, and annihilate complex customer issues involving Chainguard Images.
• Escalate wisely: Engage the Engineering team when things get spicy.
• Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed.
• Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans.
• Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix.
• Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution.
• Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams.
• Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick.
• Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support.
  
  

What we're looking for:

• You’ve spent 3+ years supporting enterprise customers with a confident, calm approach.
• 3+ years under your belt with Linux, Docker and Kubernetes. You dream in containers.
• You deliver top-tier customer experiences with stellar written and verbal communication.
• You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more.
• You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff.
• Experience with AWS, Azure, or GCP; AWS EKS experience is a plus.
• Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning.
• Extra kudos if you bring a KCNA or CKA certification and aspire to be a future Kubestronaut.
• Startup experience? Even better.  You’ve navigated fast lanes before.

A curious soul who learns faster than a caffeinated squirrel.

Mission Brief 

Your main objective will be to work hands-on with our Data Platform, which consolidates all structured and unstructured test, flight, and process data from across the company. Your work will empower data-driven decisions in various departments and enable us to generate valuable insights from cross-departmental data. 

More specifically, you will: 

• Build modern, scalable, and high-performance solutions for our engineering data platform.
• Develop and deploy efficient ETL/ELT processes to ingest, transform, and load a large amount of data from diverse sources.
• Contribute to data modeling and architecture decisions to ensure consistency, availability, low latency, and long-term maintainability of the data landscape.
• Ensure data quality through validation processes and adherence to data governance policies.
• Provide observability for the Data Platform processes, enabling a quick reaction to any disruptions.
• Author technical and user documentation.
• Guide less experienced engineers by sharing your knowledge and expertise. 

Who you are and what you have 

• Highly proficient with batch and streaming data processing
• Hands-on experience with OLAP, DeltaLake and Iceberg storage frameworks
• Excellent SQL proficiency for data querying, transformation, and analysis
• Understanding of time series data and signal processing (e.g., sampling rates, decimation, frequency domains, and data integrity)
• Solid understanding of data architectures (lakehouse, warehouse, data streaming, medallion pattern)
• Practical experience with Apache Spark, PySpark, Python and DataFrame handling
• Experience with Data Platforms (e.g., Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake) 

Nice to Have (Optional): 

• Experience with Python query engines (e.g. polars, duckdb)
• Experience with Kafka and Kafka related technologies (e.g. Apache Flink)
• Understanding of infrastructure, cloud services and network 

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection

We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer

Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Your Responsibilities

Vendor Lifecycle & Operational Relationship Management

• Own the end-to-end third-party operational lifecycle, from initial onboarding and technical integration to continuous monitoring and eventual offboarding.
• Build and maintain strong, strategic relationships with key external partners, acting as the primary point of escalation for operational bottlenecks and service disruptions.
• Collaborate closely with Compliance, Procurement and Legal teams to ensure operational readiness and compliance requirements are met during the vendor selection and renewal phases.

Digital Operational Resilience & DORA Compliance

• Lead the implementation and ongoing management of ICT third-party risk management controls in strict alignment with DORA requirements.
• Maintain an accurate and up-to-date Register of Information detailing all ICT third-party service dependencies.
• Partner with InfoSec, Compliance, and Risk teams to conduct regular vendor risk assessments, evaluate concentration risks, and ensure third parties participate in required operational resilience testing (e.g., TLPT).
• Develop and maintain joint business continuity plans, robust vendor escalation matrices, and incident management protocols, ensuring alignment with DORA’s incident reporting mandates.

Performance & SLA Monitoring

• Define, implement, and track rigorous KPIs and SLAs for all third-party providers.
• Conduct regular Quarterly Business Reviews (QBRs) and performance audits with key vendors to ensure continuous improvement and strict adherence to service availability targets.
• Design and maintain operational dashboards (e.g., via Looker, Tableau) to monitor vendor performance, dependency health, and risk metrics in real-time.

Process Optimization & Integration

• Design seamless operational workflows that integrate third-party services into our internal value chain without friction.
• Transition reactive, detective vendor controls into automated, preventive systems to build stronger system-based safeguarding mechanisms.
• Map and document product setups and process dependencies, ensuring the exact impact of third-party outages on customer orders is clearly understood and mitigated.

Your Profile

• Experience: 5+ years of experience in Operations, Vendor Management, or Third-Party Risk Management (TPRM), specifically within a regulated financial, FinTech, or SaaS environment.
• Regulatory knowledge (DORA): particularly its pillars relating to ICT third-party risk management, incident reporting, and resilience testing.
• Risk & Controls: Deep understanding of vendor due diligence, SLA formulation, and transitioning operational controls from detective to preventive models.
• Analytical Skills: Highly data-driven with the ability to build performance metrics and utilize data visualization tools [e.g., Looker, Snowflake, Excel/Google Sheets] to monitor vendor health.
• Stakeholder Management: Exceptional communication skills with the ability to collaborate effectively with technical teams, compliance officers, C-level executives, and external partners.
• AI: Early adopter of AI productivity tools with a keen interest in how emerging AI governance impacts third-party risk and ICT resilience.
• Language: Fluent in English and a good command of German (B2).

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

AutoScout24 is on a mission to revolutionize how marketing decisions are driven through data and analytics. We are seeking an experienced and motivated Marketing Data Analyst (m/f/d) to take ownership of our marketing analytics framework and help us make data-informed decisions to optimize efficiency and ROI of our multi-channel marketing funnel. This role is perfect for someone who combines strong technical skills with sharp business judgment - and who thrives working close to top management on high-impact, complex analyses. 

Our team treats AI as a core working principle. We actively integrate AI tools into our day-to-day workflows to raise the speed, quality, and depth of our analytics work — and we expect this mindset from everyone who joins us. 

What you will do 

• Design and implement scalable data models and pipelines within our Data Lake, to integrate and manage marketing data across channels. 

• Build and maintain engaging dashboards to monitor demand, user acquisition and marketing efficiency, following best practices in data visualization to deliver clear and actionable insights. 

• Empower marketing teams with self-service analytics by curating reliable data sources and building automated, scalable data solutions that enable independent, data-driven decision-making. 

• Work closely with online, app, and offline marketing teams to deliver insights and recommendations that optimize multi-channel efforts, media planning, budget allocation, and user acquisition. 

• Partner with fellow analysts to evaluate performance across key platforms — including Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo — and translate findings into strategy. 

• Lead exploratory analytics projects — including new KPI development, A/B testing, incrementality studies, offline measurement, and attribution modelling — to address evolving business challenges. 

• Contribute technical expertise and business judgment to deep-dive analyses and reports for senior and top management, and lead multi-disciplinary projects end-to-end, managing timelines and stakeholder communication. 

• Leverage AI tools and automation to increase the efficiency, quality, and scale of analytical work — from data preparation and insight generation to reporting and stakeholder communication. 

What you will bring 

• 4+ years of experience in marketing analytics, ideally in online marketplaces, B2C or B2B environments, with a strong grasp of online and app marketing, campaign optimization, and budget allocation. 

• Proficiency in SQL and hands-on experience building data pipelines and ELT workflows using tools like Airflow and dbt, with familiarity across cloud platforms such as BigQuery, Redshift, or Snowflake. 

• Strong experience with BI and dashboarding tools (Tableau, QuickSight, PowerBI, or similar) and a solid understanding of data visualization best practices. 

• Deep understanding of Google Analytics, MMPs (Adjust, AppsFlyer), and major ad platforms (Google, Meta, Criteo), including tracking systems and reporting structures. 

• Proven ability to translate complex data into clear, actionable recommendations for both technical and non-technical audiences, including C-level stakeholders. 

• Outstanding attention to detail and a strong analytical mindset, with a grasp of statistical concepts to deliver effective and pragmatic solutions. 

• A proven track record of proactively and independently leading cross-functional analytics initiatives in a collaborative, multi-level organization. 

• A proactive approach to integrating AI tools into analytical workflows — with genuine curiosity about how AI can improve the speed and quality of data work. 

• Excellent verbal and written English skills. 

Nice to have 

Experience with web/app marketing attribution, budget planning, or forecasting models · Amazon QuickSight · Google Search Console · Google Tag Manager  

Role Overview

The Principal Enterprise Architect is the most senior technical and strategic role within our customer engagement model. You are the "North Star" for the customer’s enterprise transformation, responsible for the structural integrity of the Celonis platform while ensuring it delivers maximum business value. You will bridge the gap between deep data engineering and C-level strategic objectives, acting as the single point of accountability for the customer’s technical and value roadmap.

Key Responsibilities

1. Enterprise Architecture & Strategy

• Architecture Design: Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
• Platform Governance: Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
• Modernization: Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
• Integration Leadership: Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.

2. Strategic Value Engineering

• Executive Advisory: Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.
• Work with senior stakeholders to establish the Celonis program roadmap.
• Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner
• Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems
• Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services.

3. Engagement Leadership

• Single Threaded Lead: Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists, and Domain Experts. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering.
• Product & Engineering Bridge: Act as the primary conduit between the customer’s technical teams and Celonis Product/Engineering to influence the product roadmap and resolve high-stakes technical blockers.
• Capability Building: Help the customer establish and scale a Celonis Center of Excellence (CoE), mentoring their internal architects and process leads.

Technical Qualifications & Experience

• Experience: 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor.
• Architecture Frameworks: Mastery of frameworks such as TOGAF or Zachman.
• Data & Integration:
• Hands-on experience with Big Data technologies (Spark, Kafka, Snowflake, Databricks).
• Deep understanding of SaaS ecosystems (SAP S/4HANA, Salesforce, ServiceNow) and legacy on-premise architectures.
• AI & Innovation: Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies.
• Security & Compliance: Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP).
• Strong proficiency in German
• Preferred: Retail Industry Expertise

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).

Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

Role Overview

The Principal Enterprise Architect is the most senior technical and strategic role within our customer engagement model. You are the "North Star" for the customer’s enterprise transformation, responsible for the structural integrity of the Celonis platform while ensuring it delivers maximum business value. You will bridge the gap between deep data engineering and C-level strategic objectives, acting as the single point of accountability for the customer’s technical and value roadmap.

Key Responsibilities

1. Enterprise Architecture & Strategy

• Architecture Design: Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
• Platform Governance: Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
• Modernization: Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
• Integration Leadership: Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.

2. Strategic Value Engineering

• Executive Advisory: Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.
• Work with senior stakeholders to establish the Celonis program roadmap.
• Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner
• Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems
• Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services.

3. Engagement Leadership

• Single Threaded Lead: Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists, and Domain Experts. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering.
• Product & Engineering Bridge: Act as the primary conduit between the customer’s technical teams and Celonis Product/Engineering to influence the product roadmap and resolve high-stakes technical blockers.
• Capability Building: Help the customer establish and scale a Celonis Center of Excellence (CoE), mentoring their internal architects and process leads.

Technical Qualifications & Experience

• Experience: 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor.
• Architecture Frameworks: Mastery of frameworks such as TOGAF or Zachman.
• Data & Integration:
• Hands-on experience with Big Data technologies (Spark, Kafka, Snowflake, Databricks).
• Deep understanding of SaaS ecosystems (SAP S/4HANA, Salesforce, ServiceNow) and legacy on-premise architectures.
• AI & Innovation: Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies.
• Security & Compliance: Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP).
• Strong proficiency in German
• Preferred: Retail Industry Expertise

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).

Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

Role Overview

The Platform Manager is the most senior technical and strategic role within our customer engagement model. You are the "North Star" for the customer’s enterprise transformation, responsible for the structural integrity of the Celonis platform while ensuring it delivers maximum business value. You will bridge the gap between deep data engineering and C-level strategic objectives, acting as the single point of accountability for the customer’s technical and value roadmap.

Key Responsibilities

1. Enterprise Architecture & Strategy

• Architecture Design: Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
• Platform Governance: Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
• Modernization: Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
• Integration Leadership: Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.

2. Strategic Value Engineering

• Executive Advisory: Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.
• Work with senior stakeholders to establish the Celonis program roadmap.
• Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner
• Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems
• Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services.

3. Engagement Leadership

• Single Threaded Lead: Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists, and Domain Experts. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering.
• Product & Engineering Bridge: Act as the primary conduit between the customer’s technical teams and Celonis Product/Engineering to influence the product roadmap and resolve high-stakes technical blockers.
• Capability Building: Help the customer establish and scale a Celonis Center of Excellence (CoE), mentoring their internal architects and process leads.

Technical Qualifications & Experience

• Experience: 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor.
• Architecture Frameworks: Mastery of frameworks such as TOGAF or Zachman.
• Data & Integration:
• Hands-on experience with Big Data technologies (Spark, Kafka, Snowflake, Databricks).
• Deep understanding of SaaS ecosystems (SAP S/4HANA, Salesforce, ServiceNow) and legacy on-premise architectures.
• AI & Innovation: Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies.
• Security & Compliance: Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP).
• Strong proficiency in German
• Preferred: Retail Industry Expertise

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).

Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Germany, the compensation range for this role is EUR 85,000 - EUR 102,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. 

The role, in a nutshell:

We are seeking a highly motivated, energetic, and results-driven Business Development Representative (BDR) to join our team. The ideal candidate will have a strong interest in cybersecurity and a proven track record of success in sales or lead generation roles. As a BDR at Chainguard, you will be responsible for prospecting, qualifying leads, and setting appointments for the sales team to help drive revenue growth.

What you’ll do:

• Prospect and identify potential clients across the DACH region in the security sales market using various lead generation techniques, such as cold calling, emailing, social media outreach, and attending industry events.
• Conduct thorough research on prospects to identify their specific security needs, pain points, and decision-makers.
• Generate a consistent pipeline of high-quality leads by meeting or exceeding weekly and monthly targets.
• Qualify leads by understanding their business requirements and matching them with our security solutions and services.
• Schedule meetings and product demos for the sales team with qualified prospects.
• Collaborate with the sales team to develop and implement targeted sales strategies for specific industries, regions, or clients.
• Maintain accurate and up-to-date records of prospects, leads, and customer interactions in the CRM system.
• Stay current on industry trends, competitor offerings, and emerging security technologies to better position our solutions to prospects.
• Attend sales training sessions and participate in team meetings to continuously improve sales skills and product knowledge.
• Provide feedback to marketing and product teams based on prospect and customer interactions to help refine messaging and improve product offerings.

What we're looking for:

• Based in the UK or Germany.
• German language skills (essential).
• Bachelor's degree in business, marketing, or a related field.
• 1-3 years of experience in sales, lead generation, or business development, within the cloud native, cybersecurity or devops industry.
• Strong communication and interpersonal skills, with the ability to build rapport and relationships with prospects and clients.
• Proficiency in using CRM systems, preferably HubSpot CRM or Salesforce, and other sales enablement tools.
• Excellent research, analytical, and problem-solving skills.
• Self-motivated, goal-oriented, and able to work independently in a fast-paced, high-growth environment.
• Demonstrated ability to meet or exceed sales targets and KPIs.
• Familiarity with cybersecurity concepts, products, and services is a strong plus.

The role, in a nutshell:

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer.

Skills/Job Requirements:

• Define and execute sales plans for your assigned territory
• Convey value prop and product differentiators to prospects and customers
• Forecast, meet, and exceed quota
• Through a combination of inbound and outbound leads, develop and manage leads funnel
• Manage business and track opportunities through CRM and other supporting tools
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Understand the competitive market, being familiar with competing companies and their offerings

Candidate Background:

• 3+ years of selling SaaS/Security experience required
• Business-level German (C1 or higher) required
• Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC.
• Strong track record consistently overachieving sales targets
• Ability to learn new products and create/learn processes quickly
• Competitive/Driven
• Excellent communication skills verbal and written
• Team player
• Must be willing to travel to clients to support sales relationships (if required)
• Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful.

Desired Qualifications:

• SaaS or Developer tools sales experience
• Startup experience
• A strong sales aptitude and fundamental understanding of the sales process
• A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment
• Ability to thrive in an agile environment with an ever-evolving set of solution

ROLE AND RESPONSIBILITIES

The Regional Vice President, Enterprise Sales (EMEA – Central & Southern Europe) will report directly to the VP of EMEA.

Chainguard is seeking a highly motivated Regional Vice President of Enterprise Sales to lead our enterprise sales efforts across Central and Southern Europe. This second-line sales leader will be responsible for all New Annual Recurring Revenue (NARR / NACV) within the region.

Leading a team of Regional Directors, this individual will own all aspects of building and scaling a high-performing, high-impact enterprise sales organization within one of the fastest-growing infrastructure companies globally.

The RVP will bring strong passion for the value Chainguard delivers to customers, operating with professionalism, integrity, and accountability.

Key Responsibilities

• Recruit, develop, and retain a world-class team of enterprise sellers on time and on budget.

• Enable Regional Directors and Enterprise Account Executives to achieve key productivity metrics and growth milestones consistently

• Drive a disciplined approach to pipeline generation, leveraging field sales, marketing, channel partners, and sales development

• Define and execute a regional revenue strategy, ensuring strong execution and collaborative team selling.

• Build and maintain strong customer relationships, focusing on value realization, retention, expansion, and advocacy.

• Deliver accurate monthly and quarterly forecasting through disciplined deal inspection and forecast methodologies.

• Develop and expand strategic channel partnerships across Central and Southern Europe

• Lead weekly Regional Director forecast calls and facilitate Quarterly Business Reviews (QBRs) to track performance and execution

• Maintain forecast accuracy within +10% / -5% of quarterly and monthly targets.

• Act as Executive Sponsor on key enterprise deals, building relationships with senior stakeholders (CISO, CIO, CTO)

• Partner closely with Marketing to drive demand generation, sales enablement, and go-to-market execution

Qualifications

• Proven second-line sales leadership experience focused on new business and new logo acquisition

• 7+ years of enterprise sales experience with a strong track record of exceeding quota in security, open source, or cloud development markets

• SaaS experience leading subscription-based sales teams

• Demonstrated success in carrying or leading teams with multiple millions in New ARR targets

• Strong “hunter” leadership mindset with experience driving pipeline creation and demand generation

• Track record of consistent overachievement and accountability

• Experience closing complex enterprise deals with multiple stakeholders in emerging or new technology categories

• Experience managing and closing deals of $200K+ ARR, with exposure to transactions exceeding $1M+ ARR

• Strong relationships with channel partners and executive-level customers

• Familiarity with consultative sales methodologies (e.g., MEDDICC, Challenger, Force Management)

• Excellent communication, presentation, and leadership skills

• Comfortable operating in a fast-paced, high-growth environment

• Strong alignment with Chainguard’s values and mission

We are looking for a Director of Sales to join our rapidly growing team and manage a team of 5-7 Account Executives.

What you’ll do:

• Report directly to the VP of International Sales and manage a team of 5-7 Account Executives
• Drives, manages and executes the business and revenue of their sales team
• Build a collaborative environment where your team can thrive, learn and grow
• Build and improve processes for AE onboarding and ramping
• Prepares forecasts, territory/industry management and growth plans
• Establishes and reports on metrics to measure team performance
• Drive alignment with supporting teams across marketing, customer success, BDR, sales engineering and customer engineering
• Set the strategy for Chainguard’s largest accounts

What we're looking for:

• 6+ years experience selling a technical product; open source, DevOps or security experience preferred
• 3+ years experience successfully managing high performing software sales teams
• Experience working with the CSP marketplaces
• Proven track record of meeting and exceeding performance objectives (revenue targets, pipeline targets, etc.)
• Experience selling to Fortune500 and a willingness to roll up your sleeves
• Existing Enterprise customer relationships in DACH
• Experience using CRM and marketing automation systems
• Ability to exercise effective judgment, sensitivity and creativity to changing needs and situations; ability to handle a fast-paced environment and challenging workload
• Strong relationship building and negotiation skills
• Experience going through a growth or hyper-growth stage
• Ability to travel as needed

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

Team

The Growth Platform Team at Raisin is a cross-functional team enabling Marketing and product teams to scale growth initiatives across web and mobile. The team owns core growth capabilities such as marketing integrations, user tracking, experimentation, bonus management, and attribution models, providing reliable services and data foundations that power growth across markets.

As part of this team, you’ll work on complex integrations and data-heavy systems, collaborating closely with Marketing and B2C stakeholders. The Growth Platform Team is responsible for the underlying services, data pipelines, and integrations that make growth measurable and scalable. If you enjoy building platform foundations with clear business impact, this team offers a high-impact and highly collaborative environment.

Your Responsibilities

• You are responsible for the full E2E delivery cycle: from requirements analysis, effort estimation, through design, implementation, QA, and delivery.
• You nurture an inspiring environment with open communication and a culture of trust.
• You proactively resolve impediments and mitigate risks for your team.
• In case you need to escalate delivery and team risks, you do this in a timely fashion, with a well-articulated solution/mitigation plan.
• You collaborate closely with your team’s Product Manager and Tech Lead.
• You facilitate the team’s work on strategy and planning for the delivery.
• Together with the Product Manager, you drive the OKR process for your team: communication of objectives, KR definition, team commitment, and pairing OKRs with individual target agreements for your engineers.
• You recruit, hire, and onboard engineers into the team.
• You develop both your engineers’ soft- and technical skill-sets according to the company’s goals and needs.
• You craft agreements and individual development plans with every team member, aligned to the team's goals.
• You uncover training opportunities as well as provide coaching for your team.
• You recognize high performance and reward accomplishments.
• You establish and keep strong performance standards for your direct reports.

Your Profile

• You hold a university degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
• You bring at least 1 year of leadership or people management experience, with a strong interest in growing and supporting others.
• You have hands-on experience with Python, SQL, and Snowflake. Familiarity with frontend technologies is considered a strong plus.
• You have solid experience with data modeling and building ETL/ELT pipelines; experience with tools such as Airflow and dbt is a plus.
• You have worked with data analytics and visualization platforms such as Looker, Tableau, or similar tools.
• You are familiar with Data Engineering best practices, including data quality, monitoring, and observability.
• You have experience driving software projects to successful delivery in a collaborative, cross-functional environment.
• You have a strong understanding of the software development lifecycle in a data engineering context, including pipelines, integrations, and data-driven product workflow.
• You are comfortable participating in open discussions around code, architecture, and technical trade-offs.
• You are fluent in English. German language skills are a plus but not required.

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Position Overview

Solution Engineers (SEs) at SingleStore are solving some of the most cutting-edge technical challenges in today’s data-driven world. When customers evaluate SingleStore, SEs are their trusted technical experts who evaluate, identify, and demonstrate how SingleStore can solve their mission-critical business needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue.

In this role, you will be responsible for identifying the technical requirements necessary to deliver business value for our Fortune 1,000 customers. Working in partnership with Enterprise Account Executives, you will help to acquire new customers and expand existing accounts. You will do this by leveraging your technical skill set and business acumen to understand complex solutions and create high-quality demos that resonate with our customers.

Role and Responsibilities

• Partner with Account Executives to close new business (logos) and expand existing accounts
• Design, develop, and deploy Proofs of Concept (POCs) with prospective customers 
• Drive the technical evaluation stage of the sales cycle, acting as the technical lead/subject matter expert (query tuning, load testing, etc.)
• Partner with internal teams (Product, Engineering, etc.) to share feedback on customer needs and requests

Required Skills and Experience

• Fluency in English and Native German
• Experience successfully selling enterprise technologies, preferably databases, distributed systems, or similar products 
• Firm understanding of distributed database fundamentals, including both analytic and transactional processing 
• Expertise executing POCs, with experience designing and deploying complex technologies into existing customer environments
• In-Depth understanding of data platforms, including various competitive products, 5 years minimum (Oracle, SQL Server, Postgres, MongoDB, Snowflake, Databricks, etc.)
• Familiarity with cloud and containerized environments, deployment and orchestration (including Kubernetes) 
• Proficient programming skills in Python, Java, or other programming languages 
• Ability to travel within the region and internationally
• Bachelor’s Degree in Computer Science or other technical field

SingleStore is a global database company that empowers the world’s leading organizations to build and scale cutting-edge AI applications on a unified data platform that supports real-time transactions, analytics, and search. Our platform handles streaming data ingestion, vector search, full-text search, and multi-model data types - all with high performance, petabyte-scale capacity, high user concurrency, and low latency.

As a leader recognized by both Gartner and Forrester Wave, SingleStore serves the world‘s leading data innovators including the top Fortune 500 enterprises. Our 95%+ gross retention rate reflects the strong satisfaction and trust our customers place in the platform.SingleStore is owned by private equity firm Vector Capital and is headquartered in San Francisco, with offices worldwide, including Hyderabad.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other.

Please note that candidates must be located in Germany and have a valid work permit to be considered.  This is a German based role for native German speakers (and English C1).  

What You’ll Do

• Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
• Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data

What You’ll Need

Must-Haves:

• Excellent SQL fluency
• Strong ETL proficiency using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Passion for delivering compelling solutions that exceed client expectations
• Excellent verbal and written communication
• Strong problem-solving skills
• Business acumen
• A thirst to learn
• Adaptability and flexibility in changing situations
• Strong written and oral communication skills, able to communicate at English and German proficiency at C1 level

What We’d Like You to Have

• Experience with software engineering practices
• Experience with modern data-engineering practices and frameworks
• Experience with integration from semi-structured file and API sources
• Matillion, Fivetran, dbt or other ETL tools
• AWS / Microsoft Azure cloud exposure
• Snowflake / Databricks / Amazon Redshift / Google BigQuery / Azure Synapse

What We Offer

• Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location 
• You want to keep your carbon footprint small? So do we! That's why every employee in Germany gets a Bahncard 50
• We want you to stay healthy, which is why our employees can enjoy a Wellness Benefit worth €1100 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
• Windows or Mac? 13 inch or 15 inch? Lightweight or heavy-duty? You know what works best for you. Therefore our employees have a wide choice of equipment for their home office, as well as a contribution towards standing desk equipment
• Tech Allowance. To help create the right home environment for you to be comfortable and efficient while working, we offer a Tech Allowance to cover accessories and furniture.
• We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues’ individual charitable passions with dedicated time off for volunteering
• Competitive salaries with room for advancement. Expected Salary range: €60-100K

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

About Us: 

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests.

Responsibilities:

• Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment.
• AI-Powered Insights (Test & Production):  Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends.
• Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities.
• Unified Data Intelligence:  Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience.
• Automated Failure Analysis & Remediation:  Architect AI models and systems that can automatically identify failures in test runs, diagnose root causes, and suggest potential fixes or optimizations.
• AI-Assisted Test Case Generation:  Design AI-driven capabilities to assist in the intelligent generation of test cases, improving test coverage and efficiency.
• Leverage Cloud AI Platforms:  Work extensively with Google Cloud Platform (GCP) services, specifically focusing on leveraging and integrating with our self-hosted versions of Gemini Flash models for text generation and understanding.
• Data Strategy & Pipeline:  Collaborate with data engineering teams to define and optimize data pipelines, ensuring efficient data flow from sources (Snowflake, with an eye towards Google BigQuery) to AI models.

Enhance Delivery Process: Help identify the areas of opportunity for delivery process improvements through AI tools and validate the feasibility.

• Technical Leadership:  Provide technical leadership and mentorship to engineering teams, guiding them in the implementation and deployment of AI/ML solutions. Take part in AI governance projects.
• Research & Innovation:  Stay abreast of the latest advancements in AI/ML, evaluating new technologies and methodologies to continuously enhance our product offerings.
• Cross-Functional Collaboration:  Work closely with product management, engineering teams, and senior leadership to translate business requirements into technical AI solutions and roadmaps.

Required Skills:

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+  years of experience in software development and architecture of production-grade systems.

• Extensive AI/ML Architecture Experience:  Proven experience in designing, building, and deploying large-scale AI/ML systems and platforms in a production environment.
• Cloud Expertise (GCP Preferred):  Deep hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow).
• Generative AI Experience:  Practical experience with large language models (LLMs), particularly with models like Gemini Flash, and understanding of their deployment and fine-tuning (especially with regard to prompt engineering, agent orchestration, context windows management and output validation)
• Big Data & Analytics:  Strong background in working with large datasets, data warehousing (Snowflake, BigQuery), and analytics platforms.
• Software Engineering Foundation:  Solid understanding of software development best practices, scalable system design, and microservices architectures.
• Problem-Solving & Innovation:  Exceptional analytical skills with a track record of solving complex, ambiguous problems using AI/ML techniques.
• Leadership & Communication:  Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including senior leadership.
• Hands-on Capability:  While an architectural role, a willingness to be hands-on with prototyping, proof-of-concepts, and guiding implementation.
• Domain Knowledge (Highly Desired):  Familiarity with software testing, quality assurance, DevOps, or application performance monitoring.

Nice to Haves:

• Experience with MLOps practices and tools for managing the ML lifecycle.
• Contributions to open-source AI/ML projects or relevant publications.
• Advanced degree in Computer Science, AI, Machine Learning, or a related quantitative field.

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Arbeite in einem Team aus erfahrenen Daten- und KI-Architekten im Data & AI Platform Architecture für die Entwicklung skalierbarer Datenplattformen und KI-gestützter Unternehmensarchitekturen, um die Unternehmen in datengetriebene Organisationen transformieren
• Gestalte innovative Projekte zur Daten- und KI-Transformation in Unternehmen entlang der gesamten Datenwertschöpfungskette: Von der Datenstrategie über Governance, Architekturdesign und Plattformentwicklung bis hin zur Implementierung und Automatisierung datengetriebener Geschäftsprozesse
• Übernimm Verantwortung für strategische und technologische Arbeitspakete in Transformationsprojekten, die Unternehmen dabei unterstützen, eine moderne, skalierbare und zukunftssichere Datenarchitektur zu etablieren
• Mapping von Datenmanagement-Technologien und -Fähigkeiten auf Geschäftsprozesse und Use Cases und Entwicklung strategischer Datenplattformen zur effizienten Nutzung und Verwaltung von Unternehmensdaten

Dein Profil

• Einen herausragenden Studienabschluss mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung, wie zum Beispiel MINT, Wirtschaftsinformatik, Statistik/Data Science
• 4-5 Jahre praktische Projekterfahrung in der Konzeption und Umsetzung von in Daten und KI-architektur, Data & KI Plattformen oder Data Engineering
• Fundierte Erfahrungen in Enterprise Data & AI Management, Strategie & Governance sowie idealerweise in einem oder mehreren der folgenden Bereiche: Data Governance, Datenkatalog, Datenintegration, Datenmodellierung, Datenarchitektur, Datenprodukten, Datenqualität und Datenmanagement
• Kenntnis oder Zertifizierung von DCAM oder DAMA wäre optional
• Fundierte Kenntnisse von etablierten Cloud-Infrastrukturen (z. B. AWS, Azure, GCP) und/ oder von Analytics & Data Platform Architecture, insbesondere mit Snowflake, Databricks, Google BigQuery, Redshift und/oder Data Governance-Technologien (z. B. Collibra, Informatica)
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Fähigkeit, strukturiert und präzise in Wort und Schrift zu kommunizieren in komplexen technischen und geschäftlichen Zusammenhängen
• Tiefes Verständnis für datengetriebene Transformation, KI-gestützte Geschäftsmodelle, Data-Driven Decision Making und Agentic AI
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Managementberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Arbeit an strategischen und technologischen Datenprojekten mit globalen Unternehmen
• Kollaboration mit internationalen Teams und führenden Experten im Bereich Data & AI
• Transparente Karriereperspektiven mit klaren Entwicklungspfaden
• Individuelles Training & Weiterbildung durch unser globales Expertennetzwerk
• Flexible Arbeitsmodelle und moderne Work-Life-Balance

Über Capgemini

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, generative KI, Cloud und Daten sowie profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2024 einen Umsatz von 22,1 Milliarden Euro.

Note:. We are hiring for this role remotely in any country ClickHouse has a hiring presence.

About the Team

The ClickPipes - Database Integrations team builds the platform that enables real-time data replication from databases into ClickHouse at petabyte scale.

As a member of this team, you will be solving complex database-related challenges and distributed systems problems, such as understanding database internals to optimize snapshotting strategy, handling schema evolution during live replication, managing data type compatibility across systems, maintaining low end-to-end latency under unpredictable loads, and leveraging durable execution frameworks to ensure data consistency over unreliable networks. We work in the open — our database integrations are built on PeerDB, an open-source CDC platform we actively maintain and contribute to.

See some of our recent work:

• ClickPipes for Postgres now supports failover replication slots
• MongoDB CDC to ClickHouse with Native JSON Support
• Under the Hood: Building MySQL Change Data Capture in ClickPipes

What You’ll Do:

• Build data-intensive systems

  • Design and develop high-throughput integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake).
  • Handle edge cases in real-world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc.
  • Design integration solutions to enable users to fully harness ClickHouse's performance and throughput.

  Own end-to-end reliability

  • Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing).
  • Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations.
  • Write clear documentation, both publicly and internally.
  • Participate in on-call rotation.

  Drive product innovation

  • Work directly with customers to understand integration requirements and discover gaps in existing product.
  • Collaborate cross-functionally with internal teams to ensure operational efficiency.
  • Lead technical discussions and influence product roadmaps.

About You:

• 5+ years of industry experience building data-intensive software solutions.
• Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go.
• Cloud-native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure).
• Practical experience with Kubernetes.
• Strong problem solver and solid production debugging skills.
• Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response).

Bonus Points

• Experience with database replication technologies (CDC, logical replication).
• Experience with durable execution frameworks (Temporal).
• Experience with data formats and protocols (Avro, Parquet, Protobuf).
• Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink).
• Experience with maintaining/contributing to open-source software.

Why Join Us

• Work on challenging problems at the intersection of database technologies, distributed systems, and cloud-native architecture.
• Work on a team that builds software in the open (PeerDB), and that cares about the craft of engineering, documentations, and continuous learning.
• Be part of a high-visibility team that delivers meaningful impact to customers in a dynamic, hyper-growth environment.

#LI-remote

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role:

We are looking for a Senior Product Manager to build Aiven’s managed Analytics offering, bringing together Clickhouse, Kafka and Postgres, for a seamless, cloud-native experience.

You will define and drive the strategy, roadmap and execution for how customers deploy, scale and operate analytics workloads across major cloud providers in more than 150 regions, globally.

What You'll Do:

• Own vision, strategy and roadmap for Aiven’s Analytics suite
• Develop a deep understanding of target customers and translate their needs into differentiated product capabilities.
• Partner closely with engineering to prioritize investments, balance new features with reliability and operability and deliver measurable customer value.
• Lead product discovery, validation and iteration using modern discovery practices.
• Drive alignment with Product, Solution Architecture, Technical Account Management, Design and Marketing.
• Enable GTM success through strong product positioning, packaging, and thought leadership.
• Identify growth opportunities, define success metrics, and build business cases for investment.
• Stay on top of market trends in Analytics and act as an Ambassador in the ClickHouse Developer community.

What We're Looking For:

• At least five years of experience as a product manager/product owner for B2B Analytics products
• At least 3 years of practitioner experience as a data analyst/engineer with one or more more of these products: Postgres/Kafka/Clickhouse/Snowflake/Databricks 
• Deep knowledge and experience with the APIs and infrastructure to support SaaS-based applications
• Familiarity with the SaaS business model, ideally for mission-critical applications
• Hands-on experience with modern product discovery techniques to validate user needs and solutions
• Strong understanding of modern cloud infrastructure and cloud unit economics

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.​

Deine Rolle​

• Mitarbeit an strategischen und technologischen Projekten im Kontext Cloud & AI für globale Unternehmen​
• Unterstütze Transformationsprojekte mit dem Fokus auf Cloud als Basis für AI entlang der gesamten Wertschöpfungskette: von Strategie und Architekturdesign über die Implementierung bis hin zum Rollout eines Produktivsystems​
• Mitarbeit bei der Konzeption und Implementierung Cloud-basierter Plattformen für GenAI & Agentic-AI in enger Zusammenarbeit mit Technologiepartnern​
• Arbeite in einem interdisziplinären Team aus erfahrenen Cloud- und AI-Experten an der Entwicklung skalierbarer Lösungen​
  ​

Dein Profil​

• Einen sehr guter Studienabschluss mit Schwerpunkt in der (Wirtschafts-)Informatik oder vergleichbar​
• Erste Projekterfahrung (1-3 Jahre) im Bereich Analytics & AI​
• Erste praktische Erfahrung in der Arbeit mit Cloud-Infrastrukturen (AWS, Azure oder GCP)​
• Kenntnisse in den Grundlagen der Software-Entwicklung ​
• Erfahrung mit Analytics-Plattformen (Snowflake, Databricks) sowie Governance-Technologien (Collibra, Informatica) von Vorteil​
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit​
• Fähigkeit, strukturiert und präzise in Wort und Schrift im Kontext komplexer technischen Zusammenhängen zu kommunizieren​
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse​
• Leidenschaft für die Arbeit mit Daten & KI sowie technologischen Innovationen​
• Sehr gute Deutsch- und Englischkenntnisse, Flexibilität und Reisebereitschaft​
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Managementberatung​

Was du bei uns schätzen wirst​

• Werde Teil einer international führenden Unternehmensberatung, die durch innovative und wegweisende Projekte, globale Teams und digitales Know-How die Zukunft gestaltet ​
• Treibe innovative Transformationsprojekte in zukunftsweisenden Branchen und widme dich visionären und strategischen Entwicklungen​
• Erlebe unser kontinuierliches Engagement für Chancengleichheit, Vielfalt und Inklusion ​
• Entwickle dich in unserem wissensorienterten Umfeld, das durch unsere auf Mitarbeiter:innen ausgerichtete Unternehmenskultur geprägt ist​
• Profitiere von unseren Benefits zur optimalen Work-Life-Balance mit attraktiven Angeboten rund um Gesundheit & Wellbeing, Zusatzpaketen rund um Mobilität sowie modernen Offices​
• Individuelles Training & Weiterbildung durch unser globales Expertennetzwerk​
• Transparente Karriereperspektiven mit klaren Entwicklungspfaden​

Über Capgemini​

Capgemini ist ein globaler Business- und Technologie-Transformationspartner für Organisationen. Das Unternehmen unterstützt diese bei ihrer dualen Transformation für eine stärker digitale und nachhaltige Welt – stets auf greifbare Fortschritte für die Gesellschaft bedacht. Capgemini ist eine verantwortungsbewusste, diverse Unternehmensgruppe mit einer über 55-jährigen Geschichte und 340.000 Mitarbeitenden in mehr als 50 Ländern. Kunden vertrauen auf Capgemini, um das Potenzial von Technologie für die ganze Breite ihrer Geschäftsanforderungen zu erschließen. Capgemini entwickelt mit seiner starken Strategie, Design- und Engineering-Expertise umfassende Services und End-to-End-Lösungen. Dabei nutzt das Unternehmen seine führende Kompetenz in den Bereichen KI, Cloud und Daten sowie seine profunde Branchenexpertise und sein Partner-Ökosystem. Die Gruppe erzielte 2023 weltweit einen Umsatz von 22,5 Milliarden Euro.​

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal und unter Angabe deiner Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.