Available Locations: London/Munich/Amsterdam/Paris

As a Solution Architect,  AI / Cloudflare Developer Platform and a member of the sales team you will help customers understand the technical details and business value proposition of the Cloudflare AI / Developer Platform and demonstrate the path and advantages of building applications with our products. 

In this role, you will serve as the Regional Lead for Cloudflare AI / Developer Platform sales. You will advise sales leadership on programs to grow Developer revenue and support strategic opportunities. You will collaborate closely with technical sales teams to design innovative solutions, develop proof of concept demonstrations, and showcase the technical capabilities of these designs to meet customer needs and expectations.

Serving as a trusted technical advisor you will help guide and enable clients, partners and teams within Cloudflare on product capabilities, positioning and competitive intelligence. You will form a tight feedback loop with product, product marketing, and technical pre-sales to refine and evolve our product. 

The ideal candidate possesses a consultative mindset, strong selling skills, along with a deep understanding of modern Web Technologies, Cloud Architecture , and the advantages of a Distributed Serverless Platform. No matter your background, you have natural curiosity and desire to solve problems, achieve goals, and design the most elegant and efficient solutions to address client needs.

What you'll do:

• You will partner with the sales organization to drive revenue, new customers and pipeline of AI and Developer Platform solutions. 
• Collaborate with cross-functional teams including product management, sales, and marketing to drive developer platform revenue and customer adoption
• Present to strategic customers as an expert of our Developer platform solutions
• Develop programs to drive the overall sales and pipeline strategy for the Cloudflare Developer Platform in partnership with regional and country sales leaders
• Align Director and C-Level perceived business and technical value with Cloudflare developer solutions
• Prepare and give regular business reviews to the management team highlighting attainment progress and challenges to closing business
• Generate a succinct feedback loop with cross-functional teams to deliver relevant Developer content, use cases, customer stories, and data driven value propositions. . 

In order to be successful, you will need to become a thought leader, trusted advisor, and spokesperson for the Cloudflare AI and Developer platform.

What you'll need:

• 3+ years of experience selling or supporting the technical sales of cloud computing and storage, full-stack Engineering, or Cloud Developer
• Technical expertise in cloud infrastructure, web technologies and AI/ML as a solutions engineer, entrepreneur, or solution architect.
• Knowledge and experience of Systems Design
  • You’ve built a web application, either professionally or as a hobbyist, and will be able to explain your design choices clearly during the interview process
  • Able to hear a clear, non-technical description of an Application (“It is a chat room, for our 150 most important users”) and quickly determine which Compute, Data, and Security components are needed to build this application
• Software development experience delivering full-stack applications, preferably using modern JavaScript frameworks and a variety of databases
• In-depth knowledge of at least one major public cloud provider (AWS, GCP, Azure, etc.)
• Have a good understanding of systems design theory and practice for distributed, full-stack applications (frontend, backend, databases, related services); ideally in a serverless paradigm
• Have a strong understanding of developer workflows (branching, release, versioning, CI/CD practices, system integrations)
• Act as an AI and Developer product expert, educating internal teams and external stakeholders on the value and capabilities of the Cloudflare Developer platform
• Knowledge of key market players/competitors in the cloud computing, AI and storage spaces
• 30% travel
• Fluency in both English and Hebrew

Other desirable skills areas include:

• You’ve built something on Cloudflare Workers
• AWS Solutions Architect or GCP Cloud Architect certifications
• Prioritize and manage the product roadmap, making strategic trade-offs to ensure the product meets customer needs and business goals
• Participate in product launch activities, including developing messaging and positioning, coordinating with marketing and sales teams
• Stay up-to-date with industry trends and advancements in cloud computing to inform product strategy and roadmap

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
• Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
• Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
• Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
• Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.

Customer & Stakeholder Management

• Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
• Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
• Translate technical complexity into clear business impacts for executive stakeholders.
• Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. 

Cross-Functional & Pod Coordination

• Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
• Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
• Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
• Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.

Methodology & Process Discipline

• Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
• Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
• Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.

Metrics & Reporting

• Define and track deployment KPIs, such as:
• Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
• Milestone On-Time Rate
• Defect and incident trends during QA/UAT and Hypercare
• Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
• Contribute data to capacity and utilization models to inform planning and staffing.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. 
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
• Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. 
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. 
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

The role

We’re looking for a driven and dynamic Display and Video Marketing Team Lead to manage and strengthen the core operations of our channel. In this role, you’ll play a key part in ensuring our marketing efforts remain scalable, leading to a high-performing acquisition channel across brands, while also driving innovation in strategy, execution, and optimization to keep us ahead in a rapidly evolving digital landscape.

You’ll lead the way on tactical campaign execution, performance optimization, and operational excellence across platforms like Google Ads, Dv360, AmazonAds, turning insights into action and growth at scale.

As the Team Lead, you’ll bring a strong performance marketing background, hands-on Display & Video expertise, and the ability to manage multiple stakeholders in a fast-paced environment. You’ll also act as the main point of contact for our external agency partners, ensuring full alignment on plans, priorities, and execution across markets.

What you’ll do

• Campaign execution oversight: Oversee campaign quality and consistency, from set-up and pacing to budget allocation and optimization, ensuring smooth execution against targets.
• Performance management: Review weekly media plans, monitor budgets, and deliver performance reports with actionable insights that connect to strategic objectives.
• Cross-functional collaboration: Partner closely with local marketing, creative, and analytics teams to deliver coordinated and effective campaigns.
• Agency management: Act as the key liaison for external agencies; align on campaign plans, execution, and priorities across multiple markets.
• Operational excellence: Continuously improve processes and systems to make the channel more predictable, efficient, and scalable.

What you’ll bring

• A strong academic background in Marketing, Business, Analytics, or a related field
• 6+ years of experience in performance marketing, with a proven track record in managing display and video operations across Google ads and other DSPs. 
• 2+ years of management experience, with the ability to mentor, develop, and guide a team
• Highly data-driven, action-oriented, organized, and a natural problem solver
• Strong relationship management and stakeholder engagement skills
• A self-starter who takes ownership from day one and leads with integrity, precision, and accountability

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 an annual learning & development budget, 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. 

About the position

You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) .

As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners.

The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile.

Mandatory requirements

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
• Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI).
• Demonstrated expertise in at least two of the following areas:
  • semantic parsing or structured NLP
  • knowledge representation, reasoning graphs, or GNNs
  • natural language generation, explainability, or rationale modeling
  • ontology alignment, cross-domain transfer, or representation learning
  • personalization algorithms, metacognition, or educational AI
  • human-in-the-loop systems or RLHF
• Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects.
• Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow).
• Strong analytical, communication, and academic writing skills.
• Demonstrable ability to design rigorous experimental pipelines and validation methodologies.
• Responsible, independent, and proactive research personality with strong teamwork skills.
• Intercultural experience and readiness to work in an international research environment.
• Fluency with AI co-pilot assistants for coding and writing.
• Fluency in English, the primary language of research and instruction on campus.

Preferred qualifications:

• Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets.
• Prior involvement in interdisciplinary or applied research projects.
• Potential to contribute to competitive funding applications.
• Experience with open-source releases or reproducible research pipelines.

Application Details

• Starting date: March, 2026
• Contract: Full-time (100%), TV-L E13
• Work mode: Hybrid

Application package must include: 

• Curriculum Vitae (CV);
• A detailed letter of motivation outlining research interests and career goals;
• 2 recommendation letters;

Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

Product Director, Common Voice (12 month Fixed-Term)

Mozilla Foundation is a non-profit building a better technology future — powered by people, open by design, fueled by imagination.

We deliver people-first alternatives to today’s extractive systems. We build side by side with developers, innovators and advocates, united in the belief that a better technology future is not only possible — it’s ours to create.

Team

The Tech Platforms team stewards and evolves shared technology platforms that power Mozilla Foundation programs and enable effective, secure, and scalable ways of working. Within the Tech Platforms team, Mozilla Common Voice is the flagship intervention to mitigate bias within AI - in particular by making it possible for speakers of the world’s 7000+ languages, and traditionally marginalized demographic communities, to be represented in AI training sets, and meaningfully engaged in building AI.

Mozilla Common Voice is a data crowdsourcing platform that supports 300+ communities around the world, and to which more than half a million people have contributed. The dataset is used by these communities, and also in technology and research organizations all over the world.

The Common Voice work spans product development, platform engineering, data stewardship, privacy and compliance, and community engagement. The team collaborates closely with contributors, researchers, and partners across regions and languages to ensure the platform remains trustworthy, inclusive, and sustainable while supporting long-term impact and future growth.

The Product Director, Common Voice is responsible for the overall success of the Common Voice project. This role is primarily accountable for product vision, roadmap, prioritization, and long-term direction, while also taking on interim community management responsibilities and providing engineering leadership and delivery oversight.

Job responsibilities

Here are some projects you'll likely work on in your first 6 months:

• Deliver the 2026 maintenance+ roadmap, ensuring platform stability, reliability, security, and progress on critical technical debt.
• Define and track success metrics aligned to 2026 goals and Tech Platforms objectives.
• Lead development of a proposed 2027+ product roadmap, including growth scenarios, resourcing implications, and strategic tradeoffs.
• Support the Common Voice project in funding proposals and partnership discussions as needed.
• Take on interim community manager responsibilities while the Common Voice team is re-scoped and shaped.
• Ensure continuity, trust, and responsiveness for the Mozilla Common Voice community during the transition period.
• Oversee community communications, contributor engagement, and language onboarding processes within resourcing constraints.
• Set clear goals, priorities, and expectations for engineering contributors in alignment with product objectives.
• Ensure effective collaboration between engineering, data, privacy, and infrastructure partners.

As a  Product Director, Common Voice at Mozilla, you will work on…

Product Ownership & Strategic Leadership - 50% of time

• Serve as the accountable product owner for Common Voice, with responsibility for product vision, roadmap, and prioritization
• Deliver the 2026 maintenance+ roadmap, ensuring platform stability, reliability, security, and progress on critical technical debt
• Define and track success metrics aligned to 2026 goals and Tech Platforms objectives
• Lead development of a proposed 2027+ product roadmap, including growth scenarios, resourcing implications, and strategic tradeoffs
• Represent Common Voice project in funding proposals and partnership discussions as needed. 

Community Management & Stewardship (Interim) — 30% of time

• Take on interim community manager responsibilities while the Common Voice team is re-scoped and shaped
• Ensure continuity, trust, and responsiveness for the Mozilla Common Voice community during the transition period
• Oversee community communications, contributor engagement, and language onboarding processes within resourcing constraints
• Balance community needs with platform realities and clearly communicate priorities and limitations

Engineering Management & Delivery leadership - 20% of time

• Provide direct people management and delivery leadership for Common Voice engineering staff and contractors
• Set clear goals, priorities, and expectations for engineering contributors in alignment with product objectives
• Ensure effective collaboration between engineering, data, privacy, and infrastructure partners

Your Professional Profile:

• 5+ years of progressively senior Product Management experience, ideally within a small, agile team.
• Strong product judgment and experience setting direction, prioritizing work, and managing tradeoffs in a complex environment.
• Knowledge of linguistics or languages, with multilinguality a plus.
• At least a basic grounding in computational linguistics or NLP.
• Fantastic communication skills are required - the team and community are global and distributed. You will be required to communicate with internal and external collaborators, all of whom have very different perspectives, backgrounds and contexts.
• Excellent judgment, and proven in triaging a lot of inbound signals and needs.
• Self motivated and driven - a proactive problem solver - this is a small team.
• Strong affinity for research and metrics - ideally experience delivering user research plans and interfacing directly with communities, users and collaborators.
• Experience working directly and closely with linguists, language activists, software engineers, data scientists and designers.

We Are Excited To See Any Additional Experience With:

• Some experience in Machine Learning-driven projects, or some academic training in ML/AI.
• Knowledge of Voice / Speech AI.

Salary and Benefits Information:

Mozilla Foundation is dedicated to fair and equitable compensation for our staff. We aim to pay a competitive and market-based salary based on the responsibilities and requirements of the role. We do not ask for, or take into account, salary histories in our offer process.

The starting salary ranges for this role are listed below. These four countries are where we most commonly employ staff.

• Germany: €101,347.20 — €113,888.92
• UK: £83,980.80 — £94,373.42
• Canada: $174,960.00 — $196,611.30
• US: $129,600.00 — $145,638.00

Some regions fall into a higher salary market and this is reflected in the example ranges below: 

• London: £104,976.00 — £117,966.78
• New York City: $162,000.00 — $182,047.50
• Maryland/DC: $155,520.00 — $174,765.60

The range for your specific location will be discussed in screening conversations if your application is successful.

We offer the following benefits:

• Private Medical Insurance
• Extended Sick Leave
• Global Employee Assistance Program (EAP)
• Retirement Plan contributions
• Paid Time Off: 20 days annual leave + sick days and your birthday  
• Company Holidays + Shutdown
• Wellness budget
• Professional Development budget
• Top up program for Pregnancy and Parental leaves

Benefits are subject to change at any time at the discretion of Mozilla Foundation.

Mozilla Foundation Hiring Practices:

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions.

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at accommodation@mozillafoundation.org.

#LI-REMOTE 

About Upsun (formerly Platform.sh) 

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Impact of a Technical Success Manager

As a Technical Success Manager (TSM), you are the technical linchpin of the customer journey and a dedicated strategic advisor for our key accounts. You bridge the gap between complex technical execution and tangible business value, acting as the "glue" that ensures the promises made during sales become a reality. While Support handles reactive troubleshooting, you are the proactive force preventing friction before it starts. By designing reusable workflows and documenting unique challenges, you don't just solve problems for one customer—you scale the collective intelligence of the entire Upsun Customer Success organization.

What to expect

• Strategic Advisory: Own the post-go-live relationship for high-value accounts, acting as a technical authority to align our platform’s capabilities with their long-term business objectives.
• Architectural Optimization: Guide existing customers through complex growth phases and architectural shifts, ensuring their configurations are optimized for peak performance and scalability.
• Proactive Adoption: Identify underutilized features and provide the deep-dive technical guidance necessary to ensure customers realize the full ROI of the Upsun platform.
• Cross-Functional Liaison: Act as the critical link between your customers and internal teams (Support, Product, Engineering) to facilitate root cause analysis and influence the product roadmap.
• Operational Maturity: Contribute to our team’s growth by developing technical playbooks and reusable templates that drive efficiency across the global organization.

What you bring

• PaaS Ecosystem Expertise: Deep experience in cloud infrastructure and developer tools, with a natural empathy for the challenges faced by modern, developer-focused organizations.
• Consulting Experience: Typically 5–8+ years in technical account management or systems engineering, with a proven ability to translate technical health into operational excellence.
• Architectural Fluency: The ability to design sophisticated technical workflows and architectures that align with diverse infrastructure standards.
• Stakeholder Mastery: High emotional intelligence and communication skills, allowing you to build trust with both C-suite executives and hands-on engineering leads.
• Linguistic Versatility: Professional fluency in both English and either French or German is required to support our EMEA portfolio.

Bonus Points

• Change Management: Formal experience or certification in change management methodologies related to software adoption.
• CS Tooling: Familiarity with customer success platforms like Gainsight or ChurnZero, or product analytics tools such as Datadog or Pendo.
• Developer Roots: A background in DevOps or software development that allows you to speak the same language as our core users.

Where we hire

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

How we hire

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Senior Manager, Customer Care)
3. 60 Minutes with Team (Senior Director, Customer Solutions & Senior Manager, Onboarding and Migration Specialists)
4. 45 Minutes with Executive (Senior Director, Professional Services)

All roles require background checks.

What we offer

💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.

🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.

🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.

🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives

🎉 Benefits and perks - Make the most of what matters to you

🏝 Flexible PTO

🩺 Comprehensive healthcare coverage (UK, France, Spain)

📈 Company stock options

🧠 Professional development budget

💻 Office equipment budget

💆‍♀️ Wellness budget

🧳 Annual team gatherings

🛜 Internet reimbursement

👶 Inclusive parental leave

✈️ Remote work travel program

You belong here

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.

About Upsun (formerly Platform.sh) 

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Impact of a Technical Success Manager

As a Technical Success Manager (TSM), you are the technical linchpin of the customer journey and a dedicated strategic advisor for our key accounts. You bridge the gap between complex technical execution and tangible business value, acting as the "glue" that ensures the promises made during sales become a reality. While Support handles reactive troubleshooting, you are the proactive force preventing friction before it starts. By designing reusable workflows and documenting unique challenges, you don't just solve problems for one customer—you scale the collective intelligence of the entire Upsun Customer Success organization.

What to expect

• Strategic Advisory: Own the post-go-live relationship for high-value accounts, acting as a technical authority to align our platform’s capabilities with their long-term business objectives.
• Architectural Optimization: Guide existing customers through complex growth phases and architectural shifts, ensuring their configurations are optimized for peak performance and scalability.
• Proactive Adoption: Identify underutilized features and provide the deep-dive technical guidance necessary to ensure customers realize the full ROI of the Upsun platform.
• Cross-Functional Liaison: Act as the critical link between your customers and internal teams (Support, Product, Engineering) to facilitate root cause analysis and influence the product roadmap.
• Operational Maturity: Contribute to our team’s growth by developing technical playbooks and reusable templates that drive efficiency across the global organization.

What you bring

• PaaS Ecosystem Expertise: Deep experience in cloud infrastructure and developer tools, with a natural empathy for the challenges faced by modern, developer-focused organizations.
• Consulting Experience: Typically 5–8+ years in technical account management or systems engineering, with a proven ability to translate technical health into operational excellence.
• Architectural Fluency: The ability to design sophisticated technical workflows and architectures that align with diverse infrastructure standards.
• Stakeholder Mastery: High emotional intelligence and communication skills, allowing you to build trust with both C-suite executives and hands-on engineering leads.
• Linguistic Versatility: Professional fluency in both English and either French or German is required to support our EMEA portfolio.

Bonus Points

• Change Management: Formal experience or certification in change management methodologies related to software adoption.
• CS Tooling: Familiarity with customer success platforms like Gainsight or ChurnZero, or product analytics tools such as Datadog or Pendo.
• Developer Roots: A background in DevOps or software development that allows you to speak the same language as our core users.

Where we hire

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

How we hire

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Senior Manager, Customer Care)
3. 60 Minutes with Team (Senior Director, Customer Solutions & Senior Manager, Onboarding and Migration Specialists)
4. 45 Minutes with Executive (Senior Director, Professional Services)

All roles require background checks.

What we offer

💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.

🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.

🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.

🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives

🎉 Benefits and perks - Make the most of what matters to you

🏝 Flexible PTO

🩺 Comprehensive healthcare coverage (UK, France, Spain)

📈 Company stock options

🧠 Professional development budget

💻 Office equipment budget

💆‍♀️ Wellness budget

🧳 Annual team gatherings

🛜 Internet reimbursement

👶 Inclusive parental leave

✈️ Remote work travel program

You belong here

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.

The venue…

SOHO HOUSE BERLIN is a private members' club and hotel in a listed building in the heart of the capital. In addition to restaurants, a fitness studio, rooftop pool, in-house cinema and a spacious spa area, the hotel offers 65 rooms in various sizes, 20 flats and four lofts. In addition to Berlin and Great Britain, there are other houses in the USA, Toronto, Barcelona, Amsterdam, Istanbul and Mumbai. The SOHO HOUSE includes the concept store THE STORE X. THE STORE X is a platform for ideas and culture. The range includes fashion, art, design and also attracts a global community of creative people to 180 The Strand in London, Soho House Berlin and Soho Farmhouse in Oxfordshire. Our aim is to present a new kind of experience space that exceeds customer expectations of traditional retail and shopping.

The role...

As an accounts receivable agent, you play an important role in accounting. In close contact with members, guests and colleagues you ensure the correct invoicing and much more.

Main Duties…

• Preparation of invoices and deposit invoices in line with company standards
• Accounts receivable and guest ledger management, including monitoring of open balances in cooperation with the Front Office team
• Daily posting and reconciliation of bank transactions in Opera
• Issuing payment reminders and coordinating collecting process
• Daily control of in-house payments and cash movements
• Reconciliation of cash accounts and follow up

Requirements…

• successfully completed vocational training in the hotel industry or in the commercial sector
• work experience in accounting desirable, preferably in the hotel industry
• experience with OPERA / MICROS desirable
• good knowledge of MS Office
• good knowledge of the German and English language
• willingness to work independently
• friendly, open and professional demeanour

As part of our Club team your role is to make sure that our members have an amazing experience every time. Possessing natural hospitality charm, we will give you a platform to connect, grow, have fun and make an impact.

Benefits...

• 2 paid 'Volunteer Days' per calendar year (to support charitable causes).
• Soho Friends Membership
• Monthly movie screenings in the in-house cinema with current movies
• Monthly workout opportunities (including inter-departmental).
• Weekly Yoga/Pilates classes
• 50% discount on our Cowshed products
• Discounts with external providers (corporate benefits)

We would like to point out that we will store and process your data within the scope of the application process in accordance with the provisions of the Federal Data Protection Act. 

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

Your Impact
As a highly personable, technically curious and enthusiastic Axon Sales Engineer, you consistently strive to be the trusted customer advisor for the value and technical aspects of Axon’s globally leading solutions. You will use your experience with Software as a Service (SaaS), on-premise software, networking, installation, configuration plus excellence in supporting highly impactful PoC’s to support us in our mission to Protect Life and Accelerate Justice. As a member of the Axon EMEA Sales Engineering Team the Sales Engineer supports the sales campaign to communicate the value of and deploy and support evidence capture devices, digital evidence management solutions SaaS and on-premise solutions to Public Safety Agencies across Southern Europe region. The Sales Engineer is a quota carrying, customer-facing front line role that facilitates and influences product enhancements and the deployment of Axon Enterprise’s products and solutions.

Location: Germany
Reports to: Sr Manager, Sales Engineering EU
Direct Reports: 0

• Support the technical and value aspects of the sales effort across territory which will include: impactful and compelling technical presentations, architecture design discussions, competitive displacement, proof-of-concept engagements, leading RFP/RFI responses, solution demonstrations and technical workshops with customers and partners
• Support the smooth transition of the sales opportunity into successful delivery by our Professional Services and/or Partner network.
• Consistently research, network and ideate to become the regional “go to” resource for future solution opportunities, product roadmap development and thought leadership
• Present and evangelise Axon technical & business value propositions at industry events
• Develop in-depth technical knowledge of AXON and domain expertise within technology subject area
• Document customer feature requests and issues, providing feedback to sales and product management
• Provide support to product Test and Evaluations
• Execute customer site assessments targeting technology infrastructure assessments
• Transfer industry, technical and product knowledge to customers and colleagues
• Proactively plan to prevent pre and post sales issues to shorten time to revenue

What You Bring

• A natural and enthusiastic aptitude for technology plus the ability to communicate its value using compiling and contextualised stories to anyone from any background
• Confidence to own and professionally drive customers to successful outcomes with Axon solutions.
• A “self starter” - ability to identify what tasks need your ownership and when you should collaborate.
• Bachelor's Degree (preferably in Computer Science or Engineering fields) or equivalent experience
• Willing to travel significantly (70%), some travel internationally
• Must have a valid Passport and Clean Driving License
• 8+ years experience as a Sales Engineer, Systems Engineer, Network Engineer or similar related field
• Knowledge and demonstrated operating experience in one or more of the following areas of specialisations: Digital Video, Mobile communications, IP Engineering, IP security, Embedded Systems, IAM, SAAS
• Strong understanding of CCTV systems, VMS, network technologies and IP stack (for example Genetec, Milestone, Avigilon, Ocularis, TCP/IP, DNS, DHCP, VLANS, firewalls, VPN gateways, proxies, etc.)
• High degree of technical knowledge in computing infrastructure components, data centers, and system support
• Experience in data integration and data analysis to support expanding product portfolio
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
• Demonstrable experience of strong project management for successful PoC’s
• Fluent Native German and excellent English language skills essential
• Evidence of effectively adding value as a Global team member
• Evidence of working effectively remotely and independently
• Knowledge and experience implementing and managing relational database solutions, in-particular Microsoft/Azure SQL, an advantage
• Practical knowledge of SAN technologies (EMC, HP 3Par, etc.) an advantage

Benefits that Benefit You

• Competitive salary package
• Generous holiday allowance
• Private healthcare allowance
• Learning & Development programs
• Fun and engaging team events

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

So, what’s the role all about?

As a Delivery Solutions Architect in our Professional Services team, you will empower and support customers and partners to build exceptional AI-driven conversational experiences. You’ll lead the design of virtual assistants and user journeys, support onboarding and solution delivery, and serve as a subject matter expert in conversational design. This role is essential to ensuring project success and driving customer satisfaction through engaging, natural, and effective dialog flows with a strong focus on Conversation Design.

How will you make an impact?

• Use case discovery
• Requirements engineering
• Create dialog flows and scripts
• Define intents and user journeys
• Lead conversation design workshops
• Develop assistant personas
• Deliver partner enablement activities

Have you got what it takes?

• 3+ years conversation/UX design
• Strong English communication skills
• Experience in multimodal user experience
• Understanding of NLU/NLP concepts
• Understanding of Large-Language-Models and prompting

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 10286

Reporting into: Senior Director, Professional Services

Role Type: Individual Contributor

#LI-Remote

This role is located in Munich, Germany - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You:

• You have experience in Manufacturing or Industrial operations or it is your field of interest. 
• You are passionate about Digital Transformation in the Manufacturing space, and are laser focused on driving value for customers
• You are always looking at ways to improve systems at scale, implement best practices, and improve our methodology and quality of execution within the Digital Transformation Engineering Team
• You are a natural team player that understands what it is to work in an agile environment
• You are eager to work cross functionally to improve the exposure to Tulip with the goal of decreasing our sales cycle
• You live in the Munich Area and can speak, write and comprehend the German language fluently

What skills do I need? 

• 5+ years of enterprise SaaS technical sales and/or pre sales experience.
• 3+ years of valuable experience in Manufacturing or Industrial operations.
• Experience in selling to or working with manufacturing companies to help them with their digital transformation journey.
• Excellent business writing, presentation and communication skills.
• Preferred experience with systems such as MES/MoM, LES/LIMS, WMS, QMS, ERP, SPC, IIoT, etc
• Team player with strong interpersonal skills and ability to take a leadership role to eventually manage a team. 
• Have passion for technology and speak fluently about current trends related to SaaS, PaaS, IIoT, and cloud solutions.
• Detail-oriented individual with the ability to quickly assimilate and apply new concepts, business models, and technologies.
• Travel:  Please note this role will involve some travel between 10-50% depending on demand.
• BS degree in Engineering (Mechanical, Industrial, Chemical, Computer Science). MSC degree is a plus.
• Fluency in German and English (C1) is required.

Key Responsibilities:

• Consult customers and prospects to prepare their companies for digital transformation.
• Work closely with sales executive to effectively progress opportunities through the pipeline and secure the "technical win"
• Develop, present and deliver high-impact technical demonstrations of the Tulip solutions on a daily basis (Demos, technical presentations, technical discussions, etc.) 
• Clearly articulate the benefits of Tulip’s  applications to all levels including but not limited to line of business managers, "C" level executives, and IT
• Provide comprehensive technical pre sales support to Tulip’s channel partners and strategic partners including developing and training personnel on product demonstrations, product positioning, and competitive overviews (competitive intelligence) to leverage our free trial in many cases in tandem with the strategic seller. 
• Identify and collaborate with prospect technical stakeholders to align around Tulip’s solution and secure commitments needed to ensure a “technical close” 
• Manage and maintain internal requests using our internal systems. 
• Provide input to other cross-functional departments pertaining to prospect requests and product enhancements as needed
• Facilitate brainstorming sessions and consensus building
• Perform needs gathering and requirement analysis for new customers  
• Analyze and track reseller competencies and technical delivery. 
• Help develop and answer RFx (RFI, RFP, RFQ), technical assessments, technical and security questionnaires 
• Lead in the scoping and estimation of implementation projects delivered by the Tulip Professional Services Team

Key Collaborators:

• Internal pre sales team
• Sales Team
• Account Executives
• Channel Partner Management
• Strategic Partner Management
• Customer Services Team: 
• Customer Solutions 
• Customer Success and Account Management

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Competitive benefits package including commuter benefits, learning and development benefits, team events, catered lunches 3 days a week.
• Flexible work schedule and unlimited vacation policy
• Learning and Development Benefit
• Virtual company events and happy hours

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

This role is located in Munich, Germany - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You:

• You have experience in Manufacturing or Industrial operations or it is your field of interest. 
• You are passionate about Digital Transformation in the Manufacturing space, and are laser focused on driving value for customers
• You are always looking at ways to improve systems at scale, implement best practices, and improve our methodology and quality of execution within the Digital Transformation Engineering Team
• You are a natural team player that understands what it is to work in an agile environment
• You are eager to work cross functionally to improve the exposure to Tulip with the goal of decreasing our sales cycle
• You live in the Munich Area and can speak, write and comprehend the German language fluently

What skills do I need? 

• 5+ years of enterprise SaaS pre sales experience
• 3+ years of valuable experience in Manufacturing or Industrial operations
• Experience in selling to or working with manufacturing companies to help them with their digital transformation journey
• Excellent business writing, presentation and communication skills
• Preferred experience with systems such as MES/MoM, LES/LIMS, WMS, QMS, ERP, SPC, IIoT, etc
• Team player with strong interpersonal skills and ability to take a leadership role to eventually manage a team. 
• Have passion for technology and speak fluently about current trends related to SaaS, PaaS, IIoT, and cloud solutions.
• Detail-oriented individual with the ability to quickly assimilate and apply new concepts, business models, and technologies.
• Travel: Please note this role will involve some travel between 10-50% depending on demand.
• BS degree in Engineering (Mechanical, Industrial, Chemical, Computer Science). MSC degree is a plus
• Fluency in German and English (C1)

Key Responsibilities:

• Consult customers and prospects to prepare their companies for digital transformation.
• Work closely with sales executive to effectively progress opportunities through the pipeline and secure the "technical win"
• Develop, present and deliver high-impact technical demonstrations of the Tulip solutions on a daily basis (Demos, technical presentations, technical discussions, etc.) 
• Clearly articulate the benefits of Tulip’s  applications to all levels including but not limited to line of business managers, "C" level executives, and IT
• Provide comprehensive technical pre sales support to Tulip’s channel partners and strategic partners including developing and training personnel on product demonstrations, product positioning, and competitive overviews (competitive intelligence) to leverage our free trial in many cases in tandem with the strategic seller. 
• Identify and collaborate with prospect technical stakeholders to align around Tulip’s solution and secure commitments needed to ensure a “technical close” 
• Manage and maintain internal requests using our internal systems. 
• Provide input to other cross-functional departments pertaining to prospect requests and product enhancements as needed
• Facilitate brainstorming sessions and consensus building
• Perform needs gathering and requirement analysis for new customers  
• Analyze and track reseller competencies and technical delivery. 
• Help develop and answer RFx (RFI, RFP, RFQ), technical assessments, technical and security questionnaires 
• Lead in the scoping and estimation of implementation projects delivered by the Tulip Professional Services Team

Key Collaborators:

• Internal presales team
• Sales Team
• Account Executives
• Channel Partner Management
• Strategic Partner Management
• Customer Services Team: 
• Customer Solutions 
• Customer Success and Account Management

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Competitive benefits package including commuter benefits, learning and development benefits, team events, catered lunches 3 days a week.
• Flexible work schedule and unlimited vacation policy
• Learning and Development Benefit
• Virtual company events and happy hours

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

Locations - Sweden (Remote) or Germany (Munich)

Cloudflare is seeking a Developer Platform Deal Strategist to play a pivotal role in the growth of Cloudflare’s Developer Platform. This is a unique opportunity to join one of the fastest growing teams at Cloudflare. This role falls under the Developer GTM organization and will work closely with our Sales and Product teams as a critical partner to accelerate revenue growth and enhance the overall developer customer journey. This is a high-ownership, high-impact role where strategic thinking and swift execution directly translates into scalable commercial success.

We're looking for someone with a strong background in tech sales and business development, with a keen understanding of developer-centric products or at minimum, a desire to learn the space. The best candidate will be someone who can zoom out and understand market trends and business objectives, but also run sales calls, build content, maintain deal trackers, provide enablements, and more. This is an ideal opportunity for someone who thrives in fast-paced environments, has seen success in sales roles, and can navigate multiple priorities across cross-functional teams.

What you'll do:

• Support Complex Deals: Provide strategic guidance and direct support to sellers on complex, high-value Developer Platform deals, helping structure proposals, pricing, and terms to meet both customer needs and Cloudflare's business objectives.
• Evangelize and Co-Sell: Join customer and partner calls to provide guidance on workloads, products, commercial structures, and the overall value proposition of the Developer Platform
• Optimize Deal Workflows: Partner with Sales, Legal, Finance, and Product teams to streamline the deal review, approval, and contracting processes, ensuring efficiency and scalability for Developer Platform transactions.
• Develop Pricing Strategies: Collaborate with Product and GTM teams to refine and implement pricing strategies, packaging, and licensing models that align with the value proposition of Developer Platform products and encourage adoption and expansion.
• Enable Sales Teams: Develop and deliver training, playbooks, and best practices for the sales organization on how to effectively position, price, and negotiate Developer Platform solutions.
• Analyze Deal Performance: Monitor and analyze deal trends, win/loss rates, and pricing effectiveness to identify opportunities for improvement and inform future commercial strategies.
• Market Feedback Loop: Act as a conduit between sales teams and product/GTM, funneling market insights and customer feedback on pricing, packaging, and commercial terms to inform product roadmap and GTM strategies.
• Program Support: Support strategic programs like Cloudflare for Startups and the Workers Launchpad accelerator from a deal strategy and commercialization perspective.
• Strategic Vision Contribution: Contribute to the long-term strategic vision for Developer Platform commercialization, including market segmentation, sales motion optimization, and competitive positioning.

Examples of Desirable Skills, Knowledge, and Experience:

• 6+ years of experience in business development or sales strategy, or a similar role focused on complex B2B sales cycles, preferably within a SaaS or Developer-focused product environment.
• Curiosity & growth mindset - always learning and wanting to stay up to speed on the trends in the market.
• Demonstrated ability to structure and negotiate high-value, multi-year SaaS agreements with large enterprise clients, addressing complex technology, security, compliance, and procurement requirements.
• Strong sense of ownership; someone who takes initiative, works independently, and manages time effectively to drive commercial outcomes.
• Excellent negotiation and communication skills, with the ability to influence and align stakeholders at all levels, from sales reps to executive leadership.
• Highly customer-centric, with a natural curiosity about technical products and a strategic mindset for solving complex commercial problems.
• Comfortable working under pressure and adjusting priorities to meet deadlines in a fast-moving environment.
• Proven ability to understand complex technical solutions and translate their value into compelling commercial proposals.
• Data-driven, proficient in Excel/Google Sheets, and experienced in using data to inform commercial decisions.
• Organized; someone who can stay on track and help keep others on track within a fast-paced environment.
• Background in Product-Led Growth (PLG) is a strong plus.

Why Join

• Direct impact on a hyper-growth part of Cloudflare’s business

• Ability to sell a category-defining platform in one of the fastest-growing developer markets

• Significant earning potential with strong over-achievement upside

• Collaborative culture with technical experts and industry-leading products

Locations -  Sweden (Remote) or Germany (Munich)

Cloudflare is seeking a Developer Platform Deal Strategist to play a pivotal role in the growth of Cloudflare’s Developer Platform. This is a unique opportunity to join one of the fastest growing teams at Cloudflare. This role falls under the Developer GTM organization and will work closely with our Sales and Product teams as a critical partner to accelerate revenue growth and enhance the overall developer customer journey. This is a high-ownership, high-impact role where strategic thinking and swift execution directly translates into scalable commercial success.

We're looking for someone with a strong background in tech sales and business development, with a keen understanding of developer-centric products or at minimum, a desire to learn the space. The best candidate will be someone who can zoom out and understand market trends and business objectives, but also run sales calls, build content, maintain deal trackers, provide enablements, and more. This is an ideal opportunity for someone who thrives in fast-paced environments, has seen success in sales roles, and can navigate multiple priorities across cross-functional teams.

What you'll do:

• Support Complex Deals: Provide strategic guidance and direct support to sellers on complex, high-value Developer Platform deals, helping structure proposals, pricing, and terms to meet both customer needs and Cloudflare's business objectives.
• Evangelize and Co-Sell: Join customer and partner calls to provide guidance on workloads, products, commercial structures, and the overall value proposition of the Developer Platform
• Optimize Deal Workflows: Partner with Sales, Legal, Finance, and Product teams to streamline the deal review, approval, and contracting processes, ensuring efficiency and scalability for Developer Platform transactions.
• Develop Pricing Strategies: Collaborate with Product and GTM teams to refine and implement pricing strategies, packaging, and licensing models that align with the value proposition of Developer Platform products and encourage adoption and expansion.
• Enable Sales Teams: Develop and deliver training, playbooks, and best practices for the sales organization on how to effectively position, price, and negotiate Developer Platform solutions.
• Analyze Deal Performance: Monitor and analyze deal trends, win/loss rates, and pricing effectiveness to identify opportunities for improvement and inform future commercial strategies.
• Market Feedback Loop: Act as a conduit between sales teams and product/GTM, funneling market insights and customer feedback on pricing, packaging, and commercial terms to inform product roadmap and GTM strategies.
• Program Support: Support strategic programs like Cloudflare for Startups and the Workers Launchpad accelerator from a deal strategy and commercialization perspective.
• Strategic Vision Contribution: Contribute to the long-term strategic vision for Developer Platform commercialization, including market segmentation, sales motion optimization, and competitive positioning.

Examples of Desirable Skills, Knowledge, and Experience:

• 6+ years of experience in business development or sales strategy, or a similar role focused on complex B2B sales cycles, preferably within a SaaS or Developer-focused product environment.
• Curiosity & growth mindset - always learning and wanting to stay up to speed on the trends in the market.
• Demonstrated ability to structure and negotiate high-value, multi-year SaaS agreements with large enterprise clients, addressing complex technology, security, compliance, and procurement requirements.
• Strong sense of ownership; someone who takes initiative, works independently, and manages time effectively to drive commercial outcomes.
• Excellent negotiation and communication skills, with the ability to influence and align stakeholders at all levels, from sales reps to executive leadership.
• Highly customer-centric, with a natural curiosity about technical products and a strategic mindset for solving complex commercial problems.
• Comfortable working under pressure and adjusting priorities to meet deadlines in a fast-moving environment.
• Proven ability to understand complex technical solutions and translate their value into compelling commercial proposals.
• Data-driven, proficient in Excel/Google Sheets, and experienced in using data to inform commercial decisions.
• Organized; someone who can stay on track and help keep others on track within a fast-paced environment.
• Background in Product-Led Growth (PLG) is a strong plus.

Why Join

• Direct impact on a hyper-growth part of Cloudflare’s business

• Ability to sell a category-defining platform in one of the fastest-growing developer markets

• Significant earning potential with strong over-achievement upside

• Collaborative culture with technical experts and industry-leading products

Locations - Sweden (Remote) or Germany (Munich)

Cloudflare is seeking a Developer Platform Deal Strategist to play a pivotal role in the growth of Cloudflare’s Developer Platform. This is a unique opportunity to join one of the fastest growing teams at Cloudflare. This role falls under the Developer GTM organization and will work closely with our Sales and Product teams as a critical partner to accelerate revenue growth and enhance the overall developer customer journey. This is a high-ownership, high-impact role where strategic thinking and swift execution directly translates into scalable commercial success.

We're looking for someone with a strong background in tech sales and business development, with a keen understanding of developer-centric products or at minimum, a desire to learn the space. The best candidate will be someone who can zoom out and understand market trends and business objectives, but also run sales calls, build content, maintain deal trackers, provide enablements, and more. This is an ideal opportunity for someone who thrives in fast-paced environments, has seen success in sales roles, and can navigate multiple priorities across cross-functional teams.

What you'll do:

• Support Complex Deals: Provide strategic guidance and direct support to sellers on complex, high-value Developer Platform deals, helping structure proposals, pricing, and terms to meet both customer needs and Cloudflare's business objectives.
• Evangelize and Co-Sell: Join customer and partner calls to provide guidance on workloads, products, commercial structures, and the overall value proposition of the Developer Platform
• Optimize Deal Workflows: Partner with Sales, Legal, Finance, and Product teams to streamline the deal review, approval, and contracting processes, ensuring efficiency and scalability for Developer Platform transactions.
• Develop Pricing Strategies: Collaborate with Product and GTM teams to refine and implement pricing strategies, packaging, and licensing models that align with the value proposition of Developer Platform products and encourage adoption and expansion.
• Enable Sales Teams: Develop and deliver training, playbooks, and best practices for the sales organization on how to effectively position, price, and negotiate Developer Platform solutions.
• Analyze Deal Performance: Monitor and analyze deal trends, win/loss rates, and pricing effectiveness to identify opportunities for improvement and inform future commercial strategies.
• Market Feedback Loop: Act as a conduit between sales teams and product/GTM, funneling market insights and customer feedback on pricing, packaging, and commercial terms to inform product roadmap and GTM strategies.
• Program Support: Support strategic programs like Cloudflare for Startups and the Workers Launchpad accelerator from a deal strategy and commercialization perspective.
• Strategic Vision Contribution: Contribute to the long-term strategic vision for Developer Platform commercialization, including market segmentation, sales motion optimization, and competitive positioning.

Examples of Desirable Skills, Knowledge, and Experience:

• 6+ years of experience in business development or sales strategy, or a similar role focused on complex B2B sales cycles, preferably within a SaaS or Developer-focused product environment.
• Curiosity & growth mindset - always learning and wanting to stay up to speed on the trends in the market.
• Demonstrated ability to structure and negotiate high-value, multi-year SaaS agreements with large enterprise clients, addressing complex technology, security, compliance, and procurement requirements.
• Strong sense of ownership; someone who takes initiative, works independently, and manages time effectively to drive commercial outcomes.
• Excellent negotiation and communication skills, with the ability to influence and align stakeholders at all levels, from sales reps to executive leadership.
• Highly customer-centric, with a natural curiosity about technical products and a strategic mindset for solving complex commercial problems.
• Comfortable working under pressure and adjusting priorities to meet deadlines in a fast-moving environment.
• Proven ability to understand complex technical solutions and translate their value into compelling commercial proposals.
• Data-driven, proficient in Excel/Google Sheets, and experienced in using data to inform commercial decisions.
• Organized; someone who can stay on track and help keep others on track within a fast-paced environment.
• Background in Product-Led Growth (PLG) is a strong plus.

Why Join

• Direct impact on a hyper-growth part of Cloudflare’s business

• Ability to sell a category-defining platform in one of the fastest-growing developer markets

• Significant earning potential with strong over-achievement upside

• Collaborative culture with technical experts and industry-leading products

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

About the role:

• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.

• Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
• Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
• Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
• Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.

So, What's the role all about?

As a member of our presales team, you will work closely with our sales team on discovery calls, technical deep dives, product demonstrations, and basic POC’s/POV’s. A sales engineering role is all about creating a great experience for our customers.

Are you a tech-savvy professional with a knack for delivering captivating demos? Do you thrive in the world of enterprise software, especially in contact center or automation technologies? If so, we have an exciting opportunity for you!

Location: Germany (Remote or Hybrid)
Territory: DACH + France

How will you make an impact?

• Support strategic opportunities across the DACH and France region, working closely with sales to drive growth in these markets.
• Partnering with the sales team to plan, prepare and execute on strategic deals within the sales cycle.
• Participating in discovery calls and technical deep dives.
• Creating and delivering powerful presentations and customized product demonstrations
• Design and recommend solutions that meet customer specific needs and business requirements, highlighting the benefits, capabilities and value proposition of NiCE Cognigy.
• Discover and analyze customer requirements, understand their pain points, and provide recommendations on how NiCE Cognigy can address these needs.
• Collaborating with relevant stakeholders to communicate customer requirements and further enhancements.
• Provide technical support to the sales team before and during the sales process, answering technical questions, demonstrating NiCE Cognigy to potential customers, and providing product information.
• Stay up-to-date on the competitive landscape and perform technical comparisons between the company's software and other conversational AI products on the market.
• Provide internal training to other teams across the company

Have you got what it takes?

• Consulting & Sales Engineering Expertise: Leverage your experience in roles like consultant, sales engineer, or presales to provide insightful and engaging demonstrations.
• Enterprise Software Proficiency: Bring your background in the enterprise software space, particularly with contact center or automation technologies, to the table.
• Programming Skills: Utilize your JavaScript programming/scripting experience, essential for presales and enablement services. Knowledge of Java, Python, or similar languages is a plus.
• Low Code & Conversational AI Experience: Experience presenting conversational AI and generative AI technologies.
• Contact Center Knowledge: Understanding contact center technology (SIP and typical contact center components such as SBCs, ACD, ASR, TTS, etc.). Experience with conversation design, IVR design or chatbot design.
• Presentation Prowess: Be a confident and engaging presenter, capable of captivating your audience.
• Creative & Design Skills: Experience with video editing, Photoshop, or similar tools is a valuable asset.
• Tech Enthusiast: Demonstrate confidence in speaking about and dealing with technology, with an ability to quickly learn new technologies.
• Technical Expertise: Have a deep understanding of Cognigy, conversational AI technologies, NLU/NLP, and related software technologies, including UI/UX.
• Sales Acumen: Effectively communicate complex technology in an easy-to-understand manner, build rapport with customers, and showcase Cognigy’s capabilities and value proposition.
• Communication & Collaboration: Exhibit excellent communication skills, tailored to your audience, and the ability to collaborate effectively with cross-functional teams (Must be fluent in English, German, and French – French at a professional level is required.)

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 10688

Reporting into: Director, Sales Engineering

Job type: Individual contributor.

#LI-Remote

About the position

You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization.

In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures.

Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education.

Mandatory requirements

• Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
• Strong research interest and practical experience in one or more of the following areas:
  • semantic parsing and structured representation learning
  • knowledge graphs or graph-based reasoning
  • transformer models, sequence modeling, or GNNs
  • natural language generation and explainability
  • educational AI, personalization algorithms, or cognitive modeling
• Evidence of research potential through publications, a strong thesis, or significant projects.
• Experience or interest in innovative teaching and learning approaches.
• Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases.
• Responsible, self-motivated, and capable of working independently as well as collaboratively.
• Excellent verbal and written communication skills.
• Intercultural competence and experience in international environments.
• Fluency with co-pilot tools for coding and writing.
• Fluency in English, the language of instruction and communication on campus.

Funding & Appointment Terms

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health-insurance subsidy of €100 per month
• Supplementary €550 mini-job allowance to support parallel part-time employment (optional)

Application Details

• Expected start date: March, 2026

Application package must include: 

• Curriculum Vitae (CV);
• Academic transcripts ;
• A detailed letter of motivation outlining research interests and career goals;
• 2 recommendation letters;

Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

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

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing? 

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Deeply understand the problem area

• Research and identify the right algorithms and tools

• Being pragmatic, but innovating right to the cutting-edge when needed

• Perform offline evaluation to gather evidence an algorithm will work

• Work with engineers to bring prototypes to production

• Plan, measure & socialize learnings to inform iteration

• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need? 

• Broad applied machine learning knowledge

• 3-5 years applied ML experience

• Practical stats knowledge (experiment design, dealing with confounding etc)

• Intermediate programming skills

• Strong communication skills, both within engineering teams and across disciplines.

• Comfort with ambiguity

• Typically have advanced education in ML or related field (e.g. MSc)

• Scientific thinking skills

Bonus skills & attributes 

• Track record shipping ML products

• PhD or other experience in a research environment

• Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

• Strong stats or math background

• Visualization, data skills, SQL, matplotlib, etc.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• Fun events for Intercomrades, friends, and family!

About the Position

As a Staff AI Engineer, you’ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You’ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You’ll raise the bar for data literacy across the department, craft and collaboration.

You’ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our location in Berlin, but we are flexible about remote work in Germany.

What You’ll Be Doing

• Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.
• Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.
• Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.
• Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.
• Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.
• Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.
• Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
• Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.

Qualifications

• 8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.
• Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.
• Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.
• Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.
• Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. 

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.   

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI 
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry 
• Join an experienced high-performing team where you will have immediate ownership and impact 
• Experience a true meritocracy with significant career growth upside as the business scales 

Our Values:

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

A Solution Consultant must be able to build credibility and communicate clearly and concisely. Solutions Consultants perform a wide range of duties; from assisting with RFP responses, conducting detailed requirements analyses, delivering technical presentations and demonstrations to understanding the competitive marketplace. Other responsibilities include working with cross-functional internal organizations to provide relevant customer feedback as input to the product development process. Recommend changes, additions or corrections to product manuals, specification sheets, features, processes, and internal technical procedures when appropriate.

Key Responsibilities:

• Support and enable Five9 technology and reseller partners with presales guidance, training, and ongoing technical coaching
• Effectively communicate plans, progress, and status to both internal and customer organizations
• Partner with Account Executives to sell the Five9 solution into larger and more demanding Enterprise and Strategic companies.
• Articulate the value of Five9’ through presentations, demonstrations, and open discussion with customers.
• Continually seek opportunities to increase customer satisfaction and deepen client relationships by interacting effectively at all levels of the client organization.
• Develop materials in-line with specific sales and/or services opportunity requirements.
• Responsible for transitioning the customer to the services team for implementation.
• Design end-to-end cloud contact centre solutions that integrate omnichannel routing, AI engines, CRM, workforce optimisation, analytics, and enterprise applications.
• Guide customers in responsible AI deployment, including governance, guardrails, and operational oversight using Five9’s AI Trust & Governance framework.
• Support proof-of-concept (POC) and pilot implementations, ensuring measurable customer outcomes.

Key Qualifications:

• Ability to work in a fast-paced environment with minimal supervision.
• Highly organized & able to manage multiple projects & tasks concurrently.
• Exemplary problem-solving ability & enthusiasm.
• Excellent communication & presentation skills with the ability to articulate technology concepts at all customer levels from network engineer to C Level.
• Understanding of enterprise level applications.
• Understanding of IT infrastructure.
• Demonstrated capability working with AI or conversational AI platforms (LLMs, NLP, generative AI, RAG, or virtual agents).
• Ability to think and adapt to a rapidly changing environment and demands.
• Responsible for staying abreast of current technologies and industry trends.
• Ability to deliver demos and presentations that close deals.
• Years of experience 8+ Years Preferred.
• Ability to Travel (40-60%).
• Fluency in English and German; additional European languages beneficial.

Preferred Experience:

• Contact/Call Center Software.
• CRM integration knowledge.
• Integration frameworks.
• Experience with prompt engineering, AI workflow configuration, or low-code integration frameworks.
• IP Telephony (basic networking knowledge assumed).
• PBX, ACD, IVR, Unified Messaging products.
• Workforce engagement, Data Analytics.
• Interaction Analytics, Quality Management, and Interaction recording.

About the Position 

As a Senior AI Engineer, you'll spearhead the development of LLM-powered products at the forefront of marketing and advertising technologies. Utilizing your expertise in machine learning, large language models, and natural language processing, you'll play a pivotal role in designing, implementing, and enhancing our range of AI-driven solutions.

You'll hold direct responsibility for the LLM technology stack central to our product suite, collaborating closely with cross-functional teams, including application engineers, product managers, and designers, to deliver robust and innovative solutions that drive tangible business outcomes.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.

What You’ll Be Doing

• Lead the development, training, and fine-tuning of large language models and LLM-driven solutions to tackle intricate NLP tasks. Implement and refine a robust, scalable architecture in production environments to ensure optimal performance.

• Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy, efficiency, and reliability. Proactively address challenges concerning data quality, bias mitigation, and model interpretability.

• Keep abreast of the latest advancements in NLP and AI research, conduct experiments, and prototype new ideas to push the boundaries of LLM capabilities.

• Collaborate closely with cross-functional teams, including software engineers and product managers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.

• Continuously assess and integrate emerging technologies and best practices to enhance the effectiveness and efficiency of LLM-based solutions.

Qualifications

• Previous experience in a similar role within the tech industry, with a deep understanding of the practical applications and challenges of deploying LLMs in real-world scenarios.

• Strong theoretical and practical knowledge of machine learning and NLP.

• Extensive experience with training and deploying machine learning models, particularly withing the NLP/LLM domain. Proficiency in Python, ML frameworks and tools.

• Strong analytical and problem-solving abilities. Experience with data preprocessing, feature engineering, and model evaluation techniques.

• Proven track record of driving innovation in AI and NLP projects. Ability to think outside the box and develop creative solutions to challenging problems.

• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. 

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.  

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI 
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry 
• Join an experienced high-performing team where you will have immediate ownership and impact 
• Experience a true meritocracy with significant career growth upside as the business scales 

Our Values:

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

Position Overview:

As an Account Executive with Diligent, you'll be at the forefront of driving revenue growth, deepening customer engagement, and shaping the future of how businesses utilise our cutting-edge solutions. Success in this role means expanding product adoption among current customers and introducing new clients to our platform. This is a high-impact, individual contributor role that demands strategic vision, proactive relationship-building, and relentless pursuit of excellence. You’ll be responsible for everything from engaging prospects and managing a robust pipeline to delivering accurate forecasts and closing deals. Acting as a trusted advisor and strategist, you’ll lead account planning, orchestrate internal collaboration, and leverage expertise to elevate customer success and revenue growth.

We’re looking for a commercially sound sales professional with a track record of exceeding targets, a natural collaborator, and someone who thrives in fast-paced, high-growth environments. If you’re driven to create value, embody a customer-first ethos, and deliver innovative solutions, this is the role for you.

Key Responsibilities:

• Proactively build a deep knowledge of and expertise in Diligent’s products, solutions, strategy and business priorities.
• Responsible for prospecting new and existing business within the designated vertical / territory for complex accounts with longer sales cycles.
• Adopts a ‘solutions’ selling approach, understanding customer needs and developing solutions through the lens of the Diligent One Platform.
• Build deep relationships with prospects and customers during interactions by being customer-focused and consistently honouring commitments and connecting the customer to internal commercial stakeholders to foster product growth.
• Develop and execute on account plans to ensure revenue targets, quota and customer business needs are met and collaborates with key stakeholders to drive integrated joint account wins for mutual business growth.
• Leads the coordination of Sales stakeholders to prioritise actions for multiple assigned accounts based on customer needs, sales generating importance, and account risks.
• Develops specialised business plans for customers that drive business outcomes to generate new business and upsells. Presents business plans to customers to generate new non-qualified opportunities.
• Create and lead feedback loop processes with product management and product marketing to communicate and relay customer pain points and feedback.
• Demonstrate Sales excellence by managing the end-to-end sales cycle from opportunity to deal close using the Diligent approved sales methodology.
• Effectively utilise sales tools to prospect new leads, schedule initial meetings, increase win rates and generate bookings.
• Accurately maintain SFDC records, forecast and report out on projected bookings, deals closed etc. on a regular basis.
• Demonstrates a deep understanding of the competitor landscape externally, including customers’ business strategy and the direction of the industry.

Required Experience/Skills:

• 5+ years of success in account management, new business acquisition, and exceeding revenue targets, ideally within highly regulated industries, SaaS or GRC space.
• Proven experience in sales methodologies such as MEDDIC, Challenger & Command of the message. 
• The ability to build trust and influence senior leaders and stakeholders at all organisational levels.
• A passion for continuous learning and a sharp understanding of both internal products and external industry trends.
• Exceptional presentation, negotiation, and interpersonal skills that inspire confidence and drive outcomes.
• A knack for aligning technology solutions with business objectives to deliver measurable value.
• Self-motivation, resilience, and a results-driven approach to thrive in a dynamic, fast-paced environment.
• Fluent in German language.

What we do

What you'll do

• Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows
• Validate hypothesis with offline evaluation datasets and A/B tests on real traffic
• Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics
• Develop and maintain core agentic capabilities, including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors
• Own performance, observability, and security: monitoring dashboards, SLO/SLI, security posture
• Ensure privacy and security by design
• Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems that will reinvent the work of health professionals and improve people's health

About our tech environment

• Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

Who you are

• You have 6+ years of experience as a software engineer, with significant experience using Python
• You have a track record of experience with the full lifecycle of an AI product at scale, from initial evaluation and launch to iterations based on results in production
• You understand and promote best practices related to the software development life cycle, such as automated testing, good use of CI/CD, and DevOps practices (you build it - you run it)
• You are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
• You are very focused on code quality and have a rigorous testing culture
• You are eager to share your knowledge and help the team grow by pair programming and mentoring
• You are comfortable speaking & writing in English in your day-to-day with the team

• Have experience with agentic systems in production
• Have experience in the medical domain

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy
  of 40% (15% within the probationary period)
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

The interview process

• Recruiter Interview
• Feature Building Interview
• AI System Design Interview
• Behavioral Interview
• Reference check
• Offer!

Job details

• Full-time
• Location: Berlin
• Working mode: Hybrid
• Start date: as soon as possible

Valtech is the Experience Innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional – helping brands make the leap beyond the competition and become leaders in a digital world.  
 
With experience in design, data and technology, we blend diverse disciplines and perspectives to create exceptional digital solutions. We help brands leap ahead by reimagining customer journeys, transforming operations, and optimizing multichannel digital platforms. 

The Opportunity 

Valtech is looking for a Senior Business Developer (all genders) to help drive our continued growth across Germany and / or Switzerland.  
 

You love the intersection of design, data and strategy with digital solutions. You understand the consultancy world — because you’ve been in it — and you can translate digital jargon into boardroom strategy. Whether it’s B2B or B2C, you know how to identify business challenges and shape digital solutions that make a real impact. You’re not just a seller — you’re a trusted advisor, capable of guiding clients through transformation journeys that touch every part of their business. 
 

You’ll be responsible for acquiring new enterprise clients and driving strategic conversations across different industries, playing a key role in scaling Valtech’s presence across the region. Backed by the One Valtech regional delivery model, you’ll collaborate with teams of strategists, creatives, technologists and data specialists to deliver full-service digital solutions that matter. 

Role Responsibilities: 

• Position Valtech as a trusted go-to-market partner and consultative advisor for clients across Germany and/or Switzerland
• Define and execute a focused go-to-market strategy, with a strong emphasis on winning net-new clients in key industries
• Own the full end-to-end sales cycle: from lead generation and qualification to solution design, pitching, and closing
• Leverage your existing network to build and grow meaningful, long-term client relationships
• Build and maintain a high-quality pipeline through outbound efforts, inbound leads, partner referrals, and your personal network
• Lead RFP processes and pitch teams with a strong focus on value-based selling and consultative engagement
• Partner closely with marketing and demand generation to drive campaigns and pipeline growth
• Collaborate with strategic technology, martech, and data partners
• Keep forecasts and pipeline up to date and transparent in Salesforce
• Stay on top of Valtech’s capabilities, case studies, and the evolving digital landscape
• Represent Valtech at industry events, networking opportunities, and partner activations

Must Have Experience/Qualifications: 

• Proven experience in business development or sales within a digital agency or consulting environment
• Track record of selling complex, multi-year engagements across digital experience, strategy, data, and technology
• Strong network in Germany or Switzerland, ideally including enterprise decision-makers and C-level contacts
• Confidence in leading consultative sales conversations and building compelling business cases
• Experience owning and delivering against multi-million revenue targets
• High level of drive and execution speed, with the ability to adapt quickly in a changing environment
• Excellent communication skills and a natural ability to build strong relationships
• Ability to engage and influence senior executives and cross-functional teams
• Fluent in German and English

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process 

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech 

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us. 

Why do we state “all genders” in the title of this job description?
As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.

Valtech is the Experience Innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional – helping brands make the leap beyond the competition and become leaders in a digital world.  
 
With experience in design, data and technology, we blend diverse disciplines and perspectives to create exceptional digital solutions. We help brands leap ahead by reimagining customer journeys, transforming operations, and optimizing multichannel digital platforms. 

The Opportunity 

Valtech is looking for a Senior Business Developer to help drive our continued growth across Germany and / or Switzerland.  
 

You love the intersection of design, data and strategy with digital solutions. You understand the consultancy world — because you’ve been in it — and you can translate digital jargon into boardroom strategy. Whether it’s B2B or B2C, you know how to identify business challenges and shape digital solutions that make a real impact. You’re not just a seller — you’re a trusted advisor, capable of guiding clients through transformation journeys that touch every part of their business. 
 

You’ll be responsible for acquiring new enterprise clients and driving strategic conversations across different industries, playing a key role in scaling Valtech’s presence across the region. Backed by the One Valtech regional delivery model, you’ll collaborate with teams of strategists, creatives, technologists and data specialists to deliver full-service digital solutions that matter. 

Role Responsibilities: 

• Position Valtech as a trusted go-to-market partner and consultative advisor for clients across Germany and/or Switzerland
• Define and execute a focused go-to-market strategy, with a strong emphasis on winning net-new clients in key industries
• Own the full end-to-end sales cycle: from lead generation and qualification to solution design, pitching, and closing
• Leverage your existing network to build and grow meaningful, long-term client relationships
• Build and maintain a high-quality pipeline through outbound efforts, inbound leads, partner referrals, and your personal network
• Lead RFP processes and pitch teams with a strong focus on value-based selling and consultative engagement
• Partner closely with marketing and demand generation to drive campaigns and pipeline growth
• Collaborate with strategic technology, martech, and data partners
• Keep forecasts and pipeline up to date and transparent in Salesforce
• Stay on top of Valtech’s capabilities, case studies, and the evolving digital landscape
• Represent Valtech at industry events, networking opportunities, and partner activations

Must Have Experience/Qualifications: 

• Proven experience in business development or sales within a digital agency or consulting environment
• Track record of selling complex, multi-year engagements across digital experience, strategy, data, and technology
• Strong network in Germany or Switzerland, ideally including enterprise decision-makers and C-level contacts
• Confidence in leading consultative sales conversations and building compelling business cases
• Experience owning and delivering against multi-million revenue targets
• High level of drive and execution speed, with the ability to adapt quickly in a changing environment
• Excellent communication skills and a natural ability to build strong relationships
• Ability to engage and influence senior executives and cross-functional teams
• Fluent in German and English

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process 

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech 

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us. 

Why do we state “all genders” in the title of this job description?
As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.

Valtech is the Experience Innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional – helping brands make the leap beyond the competition and become leaders in a digital world.  
 
With experience in design, data and technology, we blend diverse disciplines and perspectives to create exceptional digital solutions. We help brands leap ahead by reimagining customer journeys, transforming operations, and optimizing multichannel digital platforms. 

The Opportunity 

Valtech is looking for a Senior Business Developer (all genders) to help drive our continued growth across Germany and / or Switzerland.  
 

You love the intersection of design, data and strategy with digital solutions. You understand the consultancy world — because you’ve been in it — and you can translate digital jargon into boardroom strategy. Whether it’s B2B or B2C, you know how to identify business challenges and shape digital solutions that make a real impact. You’re not just a seller — you’re a trusted advisor, capable of guiding clients through transformation journeys that touch every part of their business. 
 

You’ll be responsible for acquiring new enterprise clients and driving strategic conversations across different industries, playing a key role in scaling Valtech’s presence across the region. Backed by the One Valtech regional delivery model, you’ll collaborate with teams of strategists, creatives, technologists and data specialists to deliver full-service digital solutions that matter. 

Role Responsibilities: 

• Position Valtech as a trusted go-to-market partner and consultative advisor for clients across Germany and/or Switzerland
• Define and execute a focused go-to-market strategy, with a strong emphasis on winning net-new clients in key industries
• Own the full end-to-end sales cycle: from lead generation and qualification to solution design, pitching, and closing
• Leverage your existing network to build and grow meaningful, long-term client relationships
• Build and maintain a high-quality pipeline through outbound efforts, inbound leads, partner referrals, and your personal network
• Lead RFP processes and pitch teams with a strong focus on value-based selling and consultative engagement
• Partner closely with marketing and demand generation to drive campaigns and pipeline growth
• Collaborate with strategic technology, martech, and data partners
• Keep forecasts and pipeline up to date and transparent in Salesforce
• Stay on top of Valtech’s capabilities, case studies, and the evolving digital landscape
• Represent Valtech at industry events, networking opportunities, and partner activations

Must Have Experience/Qualifications: 

• Proven experience in business development or sales within a digital agency or consulting environment
• Track record of selling complex, multi-year engagements across digital experience, strategy, data, and technology
• Strong network in Germany or Switzerland, ideally including enterprise decision-makers and C-level contacts
• Confidence in leading consultative sales conversations and building compelling business cases
• Experience owning and delivering against multi-million revenue targets
• High level of drive and execution speed, with the ability to adapt quickly in a changing environment
• Excellent communication skills and a natural ability to build strong relationships
• Ability to engage and influence senior executives and cross-functional teams
• Fluent in German and English

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process 

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech 

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us. 

Why do we state “all genders” in the title of this job description?
As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.

The Role

The Lead Researcher in Quantum Machine Learning will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Lead Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Lead Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

Reporting directly to the Director of AI, the Lead Researcher in Quantum Machine Learning plays a pivotal role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Lead Applied Researcher should expect to work in the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Keeping up with state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Assisting in writing patent draft applications
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Lead Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning.

• PhD in computer science, physics, mathematics, electrical engineering, or equivalent subject is required
• Publication record in quantum machine learning, or variational quantum algorithms is required
• Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket) is required
• Advanced experience working with variational quantum algorithms for machine learning is required
• Experience working with the classical machine learning algorithms is required
• Computational learning theory expertise is optional
• Expert knowledge in Python is optional
• Expert knowledge in Pytorch and TensorFlow is optional
• Experience in programming for GPUs is optional
• Experience in working with QPUs is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

The Role

The Researcher in Quantum Machine Learning or Quantum Information will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

The Researcher in Quantum Machine Learning plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Applied Researcher should expect to work in one and supporting in the other areas of the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Exploring state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning or quantum information.

• Currently pursuing or recently completed a degree in computer science, physics, mathematics,
  or equivalent subject
• Experience in one or more quantum programming languages (Qiskit, Pennylane, Cirq, etc.)
• Experience working with variational quantum algorithms for machine learning
• Experience working with classical machine learning algorithms
• Basic knowledge in Python, Pytorch and TensorFlow
• Experience in working with QPUs is optional
• Familiarity with quantum information theory is optional
• Familiarity with Tensor-Network techniques is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will: 

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

We’ll be happy to have you on our team if you: 

• Have experience designing machine learning systems from scratch.
• Have a background in natural language processing or code modeling.
• Have a proven track record of delivering machine learning projects.
• Know how to design reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Are proficient in Python, Java, or Kotlin.
• Have hands-on experience with modern ML frameworks.

It would be nice if you: 

• Have experience applying machine learning to programming languages.
• Have hands-on experience building and improving AI agents.
• Have experience in A/B testing and general knowledge of statistics
• Have worked with large-scale data processing pipelines

#LI-KP1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

We’ll be happy to have you on our team if you have: 

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

About the Role:

Solutions Architects on Planet’s Professional Services team are experienced technologists who work with customers to deeply understand their problems and make them successful users of Planet's product offerings. In this role, you will apply your remote sensing, geospatial, and scientific background, combined with deep knowledge of Planet’s technologies, to design and architect solutions that provide customers with the outcomes they need for long term value. Solutions Architects are good listeners and respected thought leaders that help guide large projects and teams to success outcomes and your efforts will be directly visible in customers' ability to make global change actionable.

This is a full-time, hybrid position and you will be required to work from one our Berlin or Haarlem office 3 days per week.

Impact You’ll Own:

• Architect, design, and pilot solutions, transforming customer requirements into robust solution architectures that align with your customer’s business and technology strategies.
• Deliver workshops, tailored demo-apps, and workflows, designing user experiences for solution prototyping and continuously improving the applications that customers experience.
• Support pre-sales and customer expansions on solution ideation and design by leveraging your remote sensing, geospatial, and geoinformatics knowledge, alongside technology experience in AI, machine learning, image processing, and geo-programming.
• Act as the technical lead in solution development teams within Agile environments, supported by project managers and software engineers who own the building of the solutions.
• Liaise with multiple cross-functional stakeholders, including product owners, technical project managers, and satellite and image quality engineers, for architecting the best solutions possible to Planet’s customers.
• Collaborate with sales, pre-sales, marketing, business development, legal, proposals, and other teams to support bidding and technical proposal writing for large civil government and commercial projects.
• Help own the customer success lifecycle from scoping and discovery, to project execution and delivery leading to customer satisfaction, value delivery and expansions.
• Champion Planet’s products and offerings in-person and via online assistance by providing training, presenting at conferences, writing technical tutorials, and publishing articles and videos.
• Interact and engage with users in Planet’s Education and Research program to source novel customer applications and unique insights.

What You Bring:

• A background in remote sensing, geoscience, or geoinformatics
• 4+ years of relevant work experience in a technical geospatial or remote sensing role.
• Bachelor’s degree in GIS, Computer Science, Remote Sensing, Geography, or a related field.
• Extensive programming ability with Python for geospatial applications, applying code best practices to process imagery, manipulate vector data, and build data pipelines.
• Experience with solution design, requirement gathering, product user story ideation, solutions design documentation, architecting and prototyping.
• Proficiency with QGIS, ArcGIS, GDAL, ENVI or other common geospatial software.
• Industry-specific knowledge and experience in domains such as forestry, natural disasters, sustainability, and agriculture.
• Familiarity with cloud-computing environments such as GCP, AWS, and Azure.
• Experience working in Agile, cross-functional teams, with knowledge and familiarity of efficient, metrics-based planning and delivery.
• Experience using AI for productivity, coding, and demo app creation (e.g., using Streamlit).
• Ability to run workshops or training sessions with users, including working directly with end-user troubleshooting.

What Makes You Stand Out:

• Advanced experience with machine learning algorithms applied to geospatial data, and the use of Claude and AI for geospatial application.
• Working knowledge of modern cloud tools and pipelines, including Google Functions, CI/CD integrations, Vertex AI and Amazon Bedrock.
• Knowledge of the Challenger methodology for liaising with clients - supporting them and helping them see what they are not seeing, especially as you guide them on the solutions journey.
• Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript) as well as web development frameworks like React.

Application Deadline:

June 29, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

Are you an experienced Uzbek language professional eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of learning, communication, and cultural understanding. With high-quality training data, tomorrow’s AI can deliver more natural, accurate, and contextually rich Uzbek experiences across education, accessibility, and global communication. That training data begins with you—your expertise will help power the next generation of AI.

We’re looking for a highly skilled Uzbek language specialist who can bring linguistic depth, cultural context, and precision to training data. You’ll work with cutting-edge AI tools, evaluate and refine Uzbek text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to strengthen model performance.

On a typical day, you will review and annotate Uzbek content, assess AI-generated outputs for accuracy and fluency, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines.

Fluency in Uzbek is required, along with demonstrated experience in translation, linguistics, language teaching, editing, or related professional work. Experience in training, coaching, or linguistic annotation is a plus. Clear communication skills, cultural knowledge, and attention to detail are essential.

Ready to channel your Uzbek expertise into building the AI tools of tomorrow? Apply today and help shape the model that will support millions of Uzbek speakers worldwide.

We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and stable internet connection; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: Uzbek Language Specialist – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior

About the role:

We are looking for a highly skilled Quality Analyst Project Coordinator to support the development of advanced AI tools for product attribution, classification and other purposes. This project focuses on creating a rich and diverse dataset of written German text, annotated and corrected by humans.

Responsibilities:

• Review and audit labeled datasets for both text and image-based content to ensure accuracy, consistency, and adherence to guidelines.
• Document and share feedback with the individual labelers
• Identify trends and insights in quality performance, and effectively mitigate quality performance issues. 
• Communicate quality trends and insights to the customer. Calibrate with the  customer on instructions and edge cases.
• Evaluate responses generated by AI, verifying correctness, clarity, relevance, and alignment with task instructions.
• Apply knowledge of Consumer Packaged Goods domain to accurately classify and/or describe products.
• Collaborate with cross-functional teams to update labeling workflows and improve quality.
• Monitor performance metrics (e.g., accuracy rates, inter-rater agreement) and contribute to continuous improvement initiatives.
• Generate responses with intentional but realistic grammar, spelling, and structural errors.
• calibration sessions to align QA standards across teams and help train new reviewers or analysts.
• Adapt quickly to evolving guidelines, new task types, and AI model updates in a fast-paced, iterative environment.
• Ensure that documentation is up to date. 

Qualifications:

• English as a second language - minimum C1 English proficiency required. 
• C2 level of German
• Ability to follow linguistic and situational writing prompts.
• Excellent written communication and coordination skills 
• 2 years working experience in a corporate/ business environment.
• Prior experience in at least one of the following:
• Linguistic QA
• Data annotation for NLP/AI projects
• ESL/EFL teaching, editing, or copyediting
• Keen eye for detail -spotting subtle grammar and structure issues others miss.
• Comfortable reviewing and providing feedback on structured data.
• Ability to give actionable and constructive feedback to annotators.
• Experience with creating and tracking timelines, milestones, and status reports is a plus.

Preferred Qualifications:

• C1 or C2 level English proficiency. 
• Familiarity with error tagging systems is a big plus.
• Experience in CPG industry/workflows, or other relevant knowledge of retail products. 

NB: This is a temporary, project-based position with the possibility of renewal. While this role will be on payroll, please note that benefits are not included as part of this position.

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Given our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech!

Job Overview 

Responsibilities

• Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads.

• Build and maintain AWS cloud environments for compute (EC2, ECS/EKS, Lambda), storage (S3, EFS, FSx), and networking (VPC, Transit Gateway, PrivateLink, Route 53, load balancers).

• Implement security best practices using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub.

• Support and optimize AI/ML workloads across AWS services (SageMaker, Bedrock, Batch, Step Functions).

• Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, and CloudFormation.

• Manage containerized workloads and orchestration platforms (Docker, EKS, Fargate), including GPU scheduling and scaling.

• Set up and maintain monitoring and observability frameworks using CloudWatch and OpenTelemetry.

• Build and manage CI/CD pipelines (CircleCI, GitHub Actions, GitLab CI) for infrastructure automation and ML/Gen AI deployments.

• Collaborate with ML and Generative AI teams to scale models, optimize performance, and design efficient prompt or inference pipelines.

• Develop runbooks and SOPs for AI service deployment, troubleshooting, and performance optimization.

• Ensure security, compliance, and data protection across AI datasets and environments.

Required Skills & Experience

• Strong proficiency in Linux administration and systems-level troubleshooting.

• Deep expertise in AWS cloud services, with experience in compute, storage, networking, and security domains.

• Proficiency in container orchestration (Kubernetes/EKS) and infrastructure automation tools.

• Hands-on experience with IaC tools such as Terraform, AWS CDK, or CloudFormation.

• Familiarity with monitoring, logging, and observability stacks (Prometheus, Grafana, OpenTelemetry).

• Experience implementing CI/CD pipelines for automated deployment and testing.

• Understanding of AI/ML concepts, including model deployment, inference scaling, and LLM performance tuning.

• Working knowledge of security best practices, IAM roles, encryption, and compliance controls.

• Excellent collaboration and communication skills to partner with ML engineers, data scientists, and product teams.

Education:                         

• A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

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

• Digitale Transformation des öffentlichen Sektors
• Neuausrichtung der Organisation innerhalb von Bundes-/ Landesverwaltungen
• Prozessoptimierungen im Bereich Personal-, Haushalts-, Beschaffungs- und Rechnungswesen
• Umsetzungsbegleitung von Modernisierungsprojekten, zum Beispiel zu AI oder Automation
• Unterstützung bei der Erarbeitung von Digitalisierungsstrategien und der Konzeption der Transformationsumsetzung
• Effiziente Verknüpfung der Prozesse zwischen Business, Strategie und IT
• Programm- und Projektmanagement von Vorhaben bei Bundes- und Landesverwaltungen

Dein Profil 

• Erste praktische Projekterfahrung rund um den digitalen Wandel im öffentlichen Sektor
• Einen herausragenden Studienabschluss (Bachelor / Master)
• Grundkenntnisse über Aufbau, Aufgaben, Geschäftsabläufe und Herausforderungen der öffentlichen Verwaltung
• Interesse an der Automatisierung von Geschäftsprozessen oder idealerweise entsprechende erste Projekterfahrungen
• Affinität zu RPA, Workflow, LLP, NLP etc.
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Innovative Strategieprojekte und internationale Teams sowie ein erfolgreiches Wachstum in digitalen Zukunftsthemen
• Langjährig gelebte, auf Werte ausgerichtete Unternehmenskultur
• Transparente Karriereperspektiven sowie viel Raum für Eigeninitiative
• Individuelles Training in unserem Ausbildungsprogramm „The Institute“ sowie herausragende Weiterbildungsmöglichkeiten innerhalb eines weltweiten Expertennetzwerks
• Langfristig ausgerichtetes Work-Life-Balance-Modell

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.

Die ausgeschriebene Vakanz ist ganzjährig zu besetzen.

Wir freuen uns über Ihre vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal unter Angabe Ihrer

Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie Ihrer Standortpräferenz.

Hier finden Sie weitere Informationen zu unserem Bewerbungsprozess 

Wenden Sie sich bei Fragen bitte an mariola.tochowicz-lackmayer@capgemini.com