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Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Location: Paris Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Paris based. TEAM Blitz is a gaming platform launched in 2021, allowing players to compete on mobile games for real cash prizes (head-up, tournaments, leagues, etc.). It is leveraging a unique game portfolio to engage users in a fun and rewarding way. The Blitz team developed a unique expertise in product, marketing and payments, to reach 300k Monthly Active Users and $60M annual revenues in 2024. To accelerate this growth, we are looking to launch new products & games to become the undisputed leader of real money gaming in the next few years ROLE We’re looking for highly ambitious, versatile profiles to lead the launch of new real money gaming apps. The role will encompass strategy, product management and marketing aspects as you will be responsible for the end to end success of a new Gaming App. - Defining the vision and value proposition - Work closely with a designer to determine the user journey and product features - Work closely with the tech team to deliver those features with the highest level of quality - Work closely with the growth team to acquire new players - Monitor closely the performance of the App, and fine tune the experience of the game to maximize engagement and monetization PROFILE - Highly driven individual with a mix of product and marketing sensibility - 3+ years experience in Gaming product or mobile marketing, with a strong analytical mindset - Experience in using product (Mixpanel, Amplitude) or marketing analytics tools (Adjust, Meta, etc) is a plus - Strong interest in either gaming, gambling (poker, etc) or skill games (chess, etc) - Excellent communication skills - Ability to integrate smoothly with team processes and dynamics BENEFITS - Competitive salary upon experience with direct incentive on the performance of App - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family 100% borne by Voodoo - Wellness activities in our Paris office - Remote days on Fridays

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems. ROLE We’re looking for a Senior Security Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide variety of topics: - Security Engineering & Guardrails: Architect, construct, and maintain automated security guardrails and paved paths to foster secure-by-default development environments. - Shift-Left Architecture Guidance: Collaborate with development teams during the early ideation and design phases to embed secure coding practices and architecture from inception. - Continuous & Automated Assessment: Develop automated, continuous assessment capabilities that replace manual reviews and scale seamlessly across the business unit. - Hands-on Code Contribution: Work directly alongside engineers to contribute code for security fixes and paved-path solutions, ensuring security remains the simplest route. - Self-Service Tooling: Partner with developers to build scalable, self-service security tools that empower teams to detect and remediate risks independently. - Preventive & Detective Controls: Implement robust preventive and detective controls to deliver ongoing assurance rather than point-in-time security checks. - Strategic Collaboration & Incident Response: Drive long-term security strategy with key stakeholders while actively participating in periodic on-call rotations for incident support. - AI-Driven Security Innovation: Utilize AI technologies and methodologies to streamline threat detection, accelerate security evaluations, and advance scalable system protection. PROFILE (MUST HAVE) - 5+ years of experience troubleshooting systems, analyzing logs, and automating complex tasks via command-line tools - 5+ years of experience identifying security vulnerabilities, assessing risks, and constructing mitigation strategies - 5+ years of hands-on experience with scripting, software development, and security-focused code reviews across standard programming languages - Demonstrated expertise in recognizing industry-standard security vulnerabilities, understanding threat vector patterns, and applying effective remediation techniques - Proven track record in a leadership or guidance role, such as a technical lead, mentor, or engineering team lead - Proficiency in applying threat modeling and comprehensive risk identification methodologies - Proven track record securing microservices, service-oriented architectures, and web services - Experience with identity provider servers and authentication protocols (such as OAuth2, OIDC, SAML) - Experience with penetration testing (pentest) and vulnerability assessments - Self-starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast-paced environment. PROFILE (NICE TO HAVE) - Advocate for security standards with clarity and empathy. - Familiarity with AI/ML workflows and agents. OUR STACK Terraform, Kubernetes, Prometheus, ArgoCD, CircleCI, GitHub Actions, Atlantis, Grafana, Claude Code, Trivy, Conftest / OPA, AWS IAM Identity Center (SSO), Okta, AWS Secrets Manager, AWS KMS, AWS WAFv2, AWS Shield, AWS ACM, AWS GuardDuty, Sealed Secrets, Kyverno, cert-manager BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Global Remote Workplace: Remote Hi! This is the Flipper team. We are the creators of Flipper Zero https://flipper.net/ — a portable device for tech enthusiasts and engineers. It's a gadget with an awesome community that brings together millions of people around the world. We are currently developing a new product — the BUSY Bar https://busy.app/ productivity multitool. It's a smart device that helps you stay focused and minimize distractions. We're looking for a Senior QA Engineer (IoT / Embedded & Cloud) to design and own test coverage for complex E2E scenarios spanning firmware, cloud services, and mobile applications, ensuring reliable interaction between devices, backend systems, and apps. Responsibilities - Design E2E test coverage across firmware, cloud, and mobile applications to verify device state, data consistency, and end-to-end behavior - Test device-to-cloud communication, including network failures, reconnections, timeouts, offline operation, and OTA update and rollback scenarios - Test cloud and local APIs, business logic, data validation, and error handling to ensure reliable behavior across integration scenarios - Analyze device and cloud logs to diagnose issues, verify command execution, and identify anomalies across system components - Build test data and configuration strategies for different device types, users, environments, and complex scenarios involving multiple devices - Identify and prioritize E2E scenarios for automation, define test specifications for automation engineers, and maintain stable smoke and regression testing processes Requirements - Strong QA experience with complex software products and the ability to design test coverage across firmware, backend APIs, and mobile applications - Strong requirements analysis and systems thinking, with the ability to identify dependencies and integration points across devices, cloud services, and applications - Hands-on experience testing REST or gRPC APIs using tools such as Postman, Swagger, or existing automated tests - Experience analyzing device logs such as UART or syslog and cloud logs using tools such as Kibana or Sentry, with a basic understanding of embedded systems architecture - Experience testing native or cross-platform mobile applications that interact with devices via BLE or Wi-Fi and cloud services - Experience working in Agile/Scrum environments, building QA processes, managing test artifacts in Jira, Confluence, TestRail, Qase, or TestOps, and defining scenarios for test automation - English proficiency sufficient for reading technical documentation and communicating with an international team Nice-to-haves - Experience testing IoT or smart devices, including OTA updates, connectivity loss and recovery, and offline operation - Basic Python or JavaScript skills for creating simple test utilities, generating test data, parsing logs, or understanding automated tests - Experience with device simulators or emulators, network traffic analysis tools such as Wireshark or tcpdump, or security testing of device-to-cloud integrations What we offer - Choose your work format: office, hybrid, or fully remote from anywhere in the world - You will be provided with all the necessary equipment for a comfortable working environment - Benefits such as VHI, corporate sports, foreign language courses, and therapy sessions - A five-day workweek with a flexible start of the working day

Location: Amsterdam, Netherlands; London, United Kingdom At JetBrains, code is our passion. Ever since we started back in 2000, we have 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. We’re honored that more than 11 million users consistently choose our tools. We’re particularly proud to call 88 Fortune Global Top 100 companies our valued customers. Major responsibilities Own and run company-level external communications. Protect and grow the company's reputation, take a defined strategic narrative to market, close the known US visibility gap, build thought leadership and a spokesperson bench, and stand up the PR operating model (playbooks, message houses, editorial calendar, perception studies). This is a senior execution-and-build role: the company narrative is set centrally; this leader runs the machine that delivers it globally. Required skills and qualifications 10+ years in tech PR with senior leadership experience – ideally B2B, developer, enterprise, or infrastructure Built and led distributed PR teams across regions, with proven US results Narrative-led PR – track record taking a defined strategic story to market, not press-release output Thought leadership and spokesperson development Crisis communications Agency and budget management at scale Fluent working with technical, developer-facing audiences and an AI-transition story Preferred skills and qualifications Experience in an AI or developer-tools company during a positioning shift Existing tier-1 US tech media relationships Comfortable operating across a US/Europe time split We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Tech Hive UAE, a digital and IT firm based in Dubai, is seeking a Middle DevOps Engineer to join their on-site team. The role involves managing and optimizing infrastructure, automating deployment processes, and ensuring system reliability and scalability. Candidates should have experience with cloud platforms, containerization, CI/CD pipelines, and infrastructure as code tools. Strong problem-solving skills and the ability to collaborate with development teams are essential. The position is located in Dubai, UAE, requiring presence at the company's office.

Location: New York City Office COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.   ROLE DESCRIPTION - Own the data engineering function end-to-end: build and maintain production pipelines from Tennr's application into Snowflake, ensuring reliability and performance at scale. - Lead EHR discovery and integration initiatives across ~5–10 healthcare systems. Understand what data is available, what integrations we have, evaluate technical tradeoffs, and build creative solutions to extract and ingest data into Snowflake. - Own Snowflake as our strategic data platform: architect instance setup, implement security best practices and governance, manage vendor relationships, and ensure zero data exposure. - Design and implement data models that transform raw data into usable assets. Surface and safely share that data across Tennr so internal teams can build their own analytics and tooling. - Implement comprehensive monitoring and alerting to detect pipeline issues quickly and resolve them with minimal business impact. - Explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models to unlock value from clinical text data. CANDIDATE QUALIFICATIONS - 3–5 years of experience in data engineering, with a strong track record of building and maintaining scalable data pipelines and infrastructure. - Proven expertise with Snowflake and modern cloud data platforms (e.g., AWS, GCP); hands-on experience with data pipeline tools and orchestration frameworks. - Strong understanding of healthcare data—claims, EHR systems, and data integration patterns—or demonstrated ability to quickly learn complex domain-specific systems. - Healthcare-data security awareness and familiarity with best practices (e.g., HIPAA considerations, data governance, compliance) is a strong plus. - Excellent problem-solving skills and comfort with complex, ambiguous integration challenges—not just standard connector configuration. - Outstanding communication skills, capable of articulating complex technical and healthcare concepts to a diverse audience. - A team player who thrives in collaborative environments and values diverse perspectives. - Prior experience in a startup or fast-paced tech environment is a plus. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week - Free lunch! Plus a pantry full of snacks.   BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: New York; Austin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Your responsibilities will include: In this role you will lead and grow Mistral AI's partnerships with OEMs, driving joint go-to-market (GTM) initiatives and expanding business opportunities across both organizations. You will serve as the primary owner of the relationship with Hardware OEMS, aligning cross-functional teams and executive stakeholders to deliver measurable business impact. Success in this role means building strong executive-level relationships, driving OEM deals, and building a best-in-class Partner OEM team. You will play a critical role in shaping partnership strategy, influencing product collaboration, and ensuring Mistral AI fully leverages Hardware OEMs’ ecosystem, programs, and resources to accelerate revenue and market presence. WHAT MAKES YOU A QUALIFIED CANDIDATE - 15+ years of experience working with hardware OEMs in solution sales, direct sales or channels - Proven track record managing complex partner relationships and driving measurable business outcomes - Strong experience in alliance management within the high-tech industry at strategic and operational levels - Demonstrated ability to engage and influence senior leadership and C-level executives - Strong knowledge of Sovereign AI frameworks and offerings NICE-TO-HAVE QUALIFICATIONS - Experience developing and executing GTM strategies and business plans with partners - Strong understanding of Hardware OEM's business model, products, programs, and funding structures - Ability to identify and scale new business opportunities through partnerships - Excellent relationship-building, communication, and stakeholder management skills - Strong organizational skills with the ability to manage multiple priorities and touchpoints - High energy, entrepreneurial mindset, and results-driven approach WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... Join us to build Duolingo Ads, Duolingo’s premium programmatic business. Most learners use our free, ad‑supported app—so great ads are core to our mission. Reporting into the Head of Ad Sales, the Ad Sales Lead, Programmatic will build a deal‑led book of business with agency holding companies, independent agencies, and advertisers who want access to Duolingo’s native formats, first‑party learner signals, and one of the most engaged mobile audiences in the world. You will own buy‑side relationships across holdco investment and programmatic teams, trading desks, curation and principal media groups, and premium programmatic buyers. This is a high‑ownership, high‑visibility, early‑stage opportunity to help define how programmatic can fuel high‑quality ads for millions of learners while driving outcomes for partners. 🧠  You will... Own a programmatic revenue target and forecast, and build a predictable pipeline across agency holding‑company programmatic and investment teams, trading desks, independent agencies, and premium programmatic buyers. Lead our shift from open auction to premium, deal‑led PMP/PG by packaging Duolingo’s native formats and first‑party learner signals into always‑on and custom deals that buyers will pay a premium for, and negotiate annual and upfront commitments that make that revenue durable. Become the person holdco programmatic teams call about mobile app inventory: run joint business planning; get Duolingo onto preferred supply paths, curated marketplaces, and principal/outcome‑based buys; and defend our position when buyers consolidate Build the programmatic value proposition and measurement story through proposals, pricing narratives, and post‑campaign proof that connect our native formats and audience data to brand and performance outcomes (e.g., verification, attention, brand lift, incrementality, MMM). Partner with Ad Platform Operations and Ad Ops on deal setup, targeting, floors, pacing, and troubleshooting—ensuring what you sell is deliverable and delivers against expectations. Work alongside our direct sellers under clear rules of engagement so programmatic expands the account through incremental value; coordinate with Account Management pre‑ and post‑sale to drive renewal and expansion. Feed structured market intelligence back to sales, product, and engineering leadership about what buyers need in pricing, packaging, audience segments, formats, and integrations, balancing this input with our learner‑first standards and operational quality. Establish the operating rhythm for a scaling programmatic business via account planning, outreach cadences, deal hygiene in CRM, pipeline rigor, and repeatable playbooks the next sellers can run. ✅  You have... 8+ years in digital advertising, including at least 4 years selling programmatic on the sell side (publisher/platform/app) or in a holding‑company programmatic/investment role, carrying and hitting a quota; demonstrated PMP/PG selling and trading‑desk engagement. A demonstrated book of PMP and PG business you personally sourced, negotiated, and grew. Experience selling premium mobile or consumer app inventory—especially video and native/custom formats—through programmatic channels to top‑tier advertisers and agencies. Strong understanding of ad tech and mobile app ecosystems, including DSP/SSP workflows, deal IDs, verification/measurement, and using data to inform pricing and packaging. Excellent communication and presentation skills; clear, concise storytelling for both technical and non‑technical audiences. ⭐  Exceptional candidates will have... Deep, current relationships with programmatic leads at major agency holding companies and larger independents. Experience moving partners from a heavy open‑auction mix to meaningful always‑on/custom PMP/PG alongside direct sales—and knowing what actually moved the deal (packaging, pricing, supply path, or sales motion). Sold against first‑party audience segments or custom data products, not just inventory. Hands‑on partnership with Ad Ops on deal setup, SSP onboarding, and campaign QA to improve fill, CPMs, and delivery quality. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $152,000 — $228,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Tel Aviv-Yafo, Gush Dan, Israel About At-Bay We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape. We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv. We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams. Responsibilities: Planning and execution of complex, diverse software delivery systems Work closely with the Data Team and build their infrastructure as a code Responsibility for building the CI/CD processes for Data Lakes, pipelines, ETL's etc. Take important part in the design & the architecture new workloads and components Research and integrate new technologies into our stack Automate everything. From enormous continuous integration, deployment and delivery pipelines, to small but life changing utilities. Qualifications: 4 years of experience as a DevOps Engineer Experience writing code with Python & Bash- a must Strong hands-on experience with AWS is- a must Experience working with Serverless and data components (Glue, sagemaker, EMR, Lamda's etc...) - an advantage Proficient in modern CI/CD techniques, GitOps (Jenkins, Github Actions, ArgoCD) Proven experience in managing production environment at scale in cloud environment Infrastructure as a code (IaaC), preferably Terraform - a must Independent, autodidact, creative problem solver with excellent debugging skills Location : Tel Aviv, Israel What you'll get A competitive salary, and equity in a super fast growing company, taking over commercial insurance A strong emphasis on work-life balance Beautiful offices in the heart of Tel Aviv, near the train station and main bus stops Passionate, smart, and fun people to work with You will never lack a challenge, we are a unique blend of a fast growing tech startup, an international firm, and an insurance company

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Growth team is a transversal entity aiming to maximize and deliver the potential of any mobile product. It combines user acquisition, creative content production, monetization, and the tech capabilities required to turn applications into global hits. With over 150 experts, we operate at the forefront of mobile marketing and ad tech across various types of games (hypercasual, hybrid, 100% IAP). ROLE - Create mobile video ads that engage millions of people - Become a creative expert in mobile gaming: benchmark what our competitors are doing, experiment with new ideas - Develop a deep understanding of how your creations perform and why - Work within a small creative squad with amazing people from diverse backgrounds and nationalities - Have the opportunity to cover different product scopes (e.g., hyper casual, hybrid, casual) - Contribute to transversal initiatives (e.g., testing new tools) PROFILE - Fully proficient with video editing and content creation - Expert in After Effects - Nice to have: 3D softwares and/or Unity - Creative and have a hacker mindset - Understand how your creations drive marketing performance - Fluent in English, both oral and written - At least 3+ year of experience in a similar role - Hands-on experience with AI creative tools (Scenario, Seedance, Kling, Veo, Runway, etc.) - Deeply familiar with the mobile gaming market, in particular, hyper casual and casual BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE We're looking for an IT Administrator - AI & Cybersecurity to join our Corporate team. In this role, you'll own the intersection of IT operations, cybersecurity and AI platform administration, reporting directly to the IT Manager. IT & SaaS Administration - Administer the core SaaS stack - Okta (SSO, SCIM, lifecycle, policies), Google Workspace, Slack, Notion, GitHub Enterprise Cloud and 100+ applications across multiple legal entities - Own the MDM estate (Jamf and Intune) across macOS, iOS and Windows: enrolment, compliance baselines, patching and disk encryption - Act as the L2/L3 escalation point for internal support, handling endpoint, identity and SaaS incidents that L1 cannot resolve - Automate manual run work through scripting, APIs and AI agents where they genuinely add value Cybersecurity - Drive the identity hardening roadmap: session lifetimes, adaptive and phishing-resistant MFA, privileged access management and admin role reviews - Own OAuth and third-party app governance across Google Workspace and Okta: inventory, risk-scoring and approval workflows - Control SaaS data exposure - publicly and externally shared files, orphaned shares - and build the tooling to support it - Contribute to the ZTNA rollout, geo-based access controls and detection & response alongside the SOC and SIEM AI Platform Administration - Administer enterprise AI platforms (Claude, Google Gemini & Vertex AI, OpenAI and others): tenants, SSO, licences, usage analytics and budget control - Strengthen the AI governance framework: acceptable-use rules, data classification boundaries, DLP and logging - and detect shadow AI usage - Administer connectors, MCP servers and agent integrations PROFILE - 5+ years of experience in IT administration, infrastructure or IT security in a fast-moving, multi-geography environment - Deep hands-on expertise with IdP administration - Okta strongly preferred - and Google Workspace at enterprise scale - Solid MDM experience across macOS and Windows (Jamf and/or Intune) - Demonstrable cybersecurity practice: IAM hardening, SaaS security posture management, OAuth risk and incident response - you have shipped security work, not just studied it - Automation is a reflex: proficiency in scripting (Python, Bash, PowerShell) and working with REST APIs and workflow tools - Practical experience with enterprise AI platforms and a genuine understanding of the risks introduced by models, agents and connectors accessing corporate data - Able to communicate security trade-offs clearly to executives and technical workarounds to developers - Fluent English is required, French is a plus - Nice to have: security certifications (Security+, CISSP, Okta Certified), ZTNA/SASE or SSPM exposure, cloud IAM on GCP or AWS, ITSM platform experience BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: London Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our client is a digital agency partnering with some of the world’s largest enterprises to design future-ready experiences, products and capabilities. Their multidisciplinary design team spans strategy, UX and UI, with a growing focus on LLM-powered  interfaces, generative UI (GenUI) and AI-enabled design workflows. They work closely with engineers and client teams to turn complex challenges into clear, practical direction and deliver work that genuinely scales. What You'll Do Support qualitative and quantitative research activities, using AI-assisted tools to help synthesize insight, identify patterns and inform product direction Translate research into clear experience opportunities, particularly where LLM-powered interfaces can add meaningful value Design and prototype user experiences that combine strong design fundamentals with LLM- powered and GenUI approaches Explore conversational, adaptive and system-driven interfaces, testing ideas quickly and iterating based on feedback Work across low and high fidelity prototypes, including interactive and conversational concepts Support the design of LLM-powered interfaces, including conversational and agent-like experiences Help shape prompts, flows, states and interaction patterns that sit on top of language models and feel natural, on-brand and genuinely useful Collaborate with engineers to understand model behaviour and design interfaces that work with its strengths and limitations Apply and extend design systems to support GenUI and AI-driven interfaces, ensuring consistency, clarity and scalability Explore how structured design foundations such as tokens, components and patterns can power adaptive and generative UI experiences Contribute to collaborative workshops that help clients understand emerging AI-powered and GenUI experiences Work alongside senior designers to turn complex ideas into clear, actionable outcomes Clearly explain design decisions, connecting user needs, business goals and emerging technology Share work confidently with internal teams and clients through strong storytelling and visual communication Stay curious about new tools, workflows and ways of working, including vibe-driven design and coding workflows, no-code tools and AI-assisted prototyping Contribute ideas that help us evolve its AI and design practice What You Bring We’re looking for a mid-weight designer with strong digital design foundations and a genuine interest in LLM-powered interfaces and GenUI. You don’t need to be an AI expert, but you should be excited by where design is heading. Strong UX and UI design fundamentals, with confidence using modern design tools Experience prototyping and iterating ideas, including interactive or conversational experiences Interest or hands-on exposure to LLM-powered interfaces, conversational UX or GenUI through client work, internal projects, prototypes or personal exploration Design systems literacy, with an understanding of how systems enable scale, especially in AI-driven products Clear communication skills and a collaborative mindset Comfort working through ambiguity and evolving problems Curiosity, adaptability and a desire to keep learning Attention to detail without losing sight of the bigger picture Nice to Have Experience with coding isn’t required, but curiosity around vibe-driven workflows, no-code tools or AI-assisted build approaches is a definite plus English Level Upper-Intermediate Legal & Hiring Information Compensation Transparency: The expected compensation for this role is £55 000 gross per year, with eligibility for commission, bonus, or other incentive compensation where applicable. Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. 🚀 Senior Software Engineer, Growth Platform - Backend Growth Platform is how DoorDash, Wolt, and Deliveroo market as one. We're building a single AI-native marketing platform across all three brands, unifying customer data, intelligence, and execution so every partner team can launch faster, personalize better, learn continuously, and scale wins across brands. The scope is global, the ambition is large, and we're only getting started. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 What you’ll be doing An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a focused team can ship. Real ownership, real impact. Growth Platform powers marketing across DoorDash, Wolt, and Deliveroo, reaching millions of users daily. You'll own features end-to-end, from the idea through production, and see your work matter at scale across three brands. Cross-org engineering at the frontier. We work across DoorDash, Wolt, and Deliveroo to unify customer data, intelligence, and execution into one platform. This is engineering at the intersection of product ambition, marketing at scale, and international complexity. Leverage those compounds. Everything we ship is leverage: unify the data, sharpen the intelligence, and streamline execution so every partner marketing team can launch faster, personalize better, and learn continuously. When we get it right, wins scale across all three brands instead of being rebuilt one at a time. We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: Design workflows where AI agents handle entire task loops, from spec to PR. Think in terms of orchestration: what does a human review, what does the agent own? Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in. 🔍 Our humble expectations Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. Collaborative instincts - Growth Platform sits at the intersection of backend, data, ML, and product. Cross-functional work is the norm, not the exception. 🙌 About You You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends. What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work. You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through. 🌍 Where You'll Work This role is based in our tech hub in Helsinki. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote, Ukraine Hi! We are Boosta, a holding tech company that creates, develops, and invests in digital businesses with global potential. Today, we collaborate with over 800 specialists from different parts of the world, and millions of users use our products and services. We are currently looking for a Media Buying Team Lead (Meta Ads) to join Inspirio , a project focused on the fast launch, development, and scaling of mobile applications. Inspirio by the numbers: 20+ applications in finance, health, wellness, and utility niches 5M+ downloads of our products 3x growth in active users over the past 12 months 35 core team members and a network of external partners Your focus will include: Develop and execute the Meta Ads acquisition strategy for mobile apps and web landing pages. Own Meta Ads budget planning and forecasting, including quarter / monthly spend, revenue and profitability targets. Own traffic volume, profitability and overall performance of the Meta Ads channel. Plan, launch, optimize and scale advertising campaigns. Set up and maintain tracking, attribution and data flow between Meta, apps, web landing pages and affiliate platforms. Analyze campaign performance, identify growth opportunities and turn insights into actionable hypotheses and tests. Develop and optimize acquisition funnels to improve conversion rates and unit economics. Build and operationalize a scalable creative marketing process, establishing a consistent flow of creative production, testing, analysis, iteration and scaling of winning concepts in collaboration with the Design team. Build and develop the Meta Ads team, including hiring, onboarding, mentoring and performance management. Establish efficient processes, workflows and performance standards for the media buying function. Collaborate with ASO, Developers, Design and Affiliate teams to drive overall acquisition performance. Stay up to date with Meta Ads platform changes, policies and industry trends, and adapt the acquisition strategy accordingly. You’re our ideal candidate if you: 4+ years of hands-on Meta Ads experience, including 1+ year in a senior/leadership role. Experience building and managing a media buying team from scratch, including processes, performance standards and team development. Experience with budget allocation across GEOs, products, campaigns and acquisition funnels based on performance and business priorities. Experience with acquisition across iOS and Android apps and web landing pages. Proven track record of scaling ad budgets while maintaining target profitability. Strong expertise in Meta Ads campaign setup, optimization, testing and scaling. Solid understanding of tracking, attribution, and managing Meta Business infrastructure, including Meta Pixel, CAPI, events, postbacks, third-party integrations, multiple ad accounts, pixels/datasets, domains and account health. Experience with full-funnel performance analysis across ads, landing pages, apps and partner conversions. Proficiency in creative strategy and performance-driven creative testing, including creative testing frameworks, hypothesis development, angles, hooks, UGC, static and video formats, creative fatigue, winner iteration, testing velocity and creative analytics. Strong analytical thinking, ownership and commercial mindset. Will be a plus: Experience working with challenging verticals - FinTech, affiliate or lead generation. Experience with other paid acquisition channels - Google Ads, TikTok Ads, native advertising. What to expect in our hiring process: Step 1. Pre-screen. Step 2. Interview. Step 3. Technical interview. Step 4. Test assignment. Step 5. Final interview. Step 6. Reference check. Step 7.  Job Offer. What you’ll get from working with us: A fast-paced, dynamic environment with daily challenges and opportunities for professional growth. Strong manager support and trust — no micromanagement. Learning & development: compensation for external courses, conferences, corporate library, mentorship (especially for juniors and career switchers), and many other opportunities. Remote work and flexible schedule — plan your day independently while considering team interaction hours. Option to work from the Kyiv office, Lviv or Warsaw coworking. 28 working days of paid vacation per year, up to 30 sick leave days with medical confirmation, plus all public holidays observed. Medical insurance and compensation for sessions with a psychologist. Ukrainian Victory Support program and other important social initiatives. We celebrate important moments together — we give gifts for special occasions in your life and career. Quarterly team buildings (online or offline). About Inspirio: Inspirio is a team operating at the fast pace of the mobile products market. We thrive on dynamics, launching new solutions, testing hypotheses, and seeing real results. If you feel the same drive, send us your CV and join Inspirio — a team where inspiration turns into results.

Location: Sofia, Sofiya, Bulgaria About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: London, England, United Kingdom About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.

Location: Bremen, Germany About us Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. Our EdTech practice produces research that runs in production. AI-supported remote proctoring is in use at the Irish Aviation Authority, Princess Nourah University and Saudi Electronic University, and our course delivery platform is used by CERN, EPFL, MariaDB and Acronis. For industry clients, we build tailored BSc, MSc and PhD pipelines, L&D operating models, AI upskilling programmes and customer training systems. Constructor Labs Solutions (CLS) is our client-facing systems integrator for the education and research sector, launching in September 2026. It brings audit and consultancy, content, platform, talent and R&D services together under a single contract, an offer few providers make to education buyers today. Delivery is orchestrated across several Constructor organizations: CUB, Nexford, Nexademy, EBAC, Constructor Labs and Constructor Tech. Our aim is to become the go-to systems integrator for education in EMEA by 2029. The role You will open EMEA markets for Constructor Labs Solutions as a quota-carrying individual contributor. The role rests on an established network among universities, online education providers, EdTech vendors and corporate L&D and research buyers, and on your ability to convert that network into signed engagements. You will work with the marketing and delivery teams to build pipeline, establish the CLS brand and develop a case-study library. Supporting you are a credible research institution, named production references, an existing Constructor and Constructor Tech client base, and delivery capability across five service lines that can be combined into a single proposal. The sales motion is consultative. Engagements typically open with a low-risk paid diagnostic (Technology Landscape Assessment, Curriculum Gap Analysis or Learning Strategy Advisory), which you then convert into a multi-line implementation or managed-service mandate. Initial engagements start at around €150–250K in lifetime value and grow from there. Sales cycles in public higher education run six to twelve months, so you will manage a long-cycle institutional funnel alongside faster corporate L&D deals. Reporting and scope Reports to: Director of Sales & Marketing, Constructor Labs Solutions (shared with the Constructor Labs GM during Phase 1). Level: Director, individual contributor. You will join an established sales team. Territory: EMEA, with initial focus on DACH (Germany, Austria, Switzerland) and the UK and Ireland. Named accounts agreed quarterly. Segments: traditional and online universities, EdTech providers and platform vendors, corporate L&D and corporate academies, research-intensive organizations, and publicly funded research programmes. Portfolio: all five CLS service lines, namely Audit & Consultancy, Content, Platform, Talent and R&D Services. Day-to-day, you will work with the Audit & Consultancy Practice Head on scoping, with Nexademy on content propositions, with Constructor Tech on platform architecture, and with the Labs' principal investigators, who join client conversations to provide subject-matter credibility. Knowing which expert belongs in which conversation is central to the role. What you will do Pipeline generation. Around 70% of your time is spent on outbound activity: your own network, conference presence, sector associations, procurement frameworks and targeted account campaigns, supported by marketing. Reference accounts. Sign the first reference clients in EMEA and develop each one into a published case study, an active sponsor and a source of introductions. Discovery and scoping. Map the client's learning or research operating model and quantify the problem in their own measures: cost per course, time to accreditation, completion rates, time-to-hire, research throughput. Shape a diagnostic that leads to a defined follow-on engagement. Conversion to implementation. Own the transition from paid diagnostic to multi-line mandate, with a target of converting half of all audit engagements. Proposals and bids. Assemble proposals across the five service lines with the practice heads, price them against the finance model and qualify them against margin floors. Lead RFP and framework responses, including public-sector tenders in Germany and the UK. Stakeholder coverage. Engage rectors, deans, CIOs, heads of digital learning, procurement, works councils, CLOs, HR directors and research directors. Maintain at least three engaged contacts on every opportunity above €200K. Partner channel. Recruit and manage regional partners, resellers, agencies and academic networks that extend reach beyond your direct coverage. Quota and forecasting. You carry an annual new-business quota, with quarterly KPIs covering pipeline coverage, audit conversion, average engagement value and blended margin. Maintain weekly pipeline hygiene in the CRM, submit a forecast you can defend, and flag slippage as soon as you see it. Market feedback. Report what EMEA buyers procure and what they decline, and how our pricing compares with Instructure, D2L, Cornerstone and the generalist integrators, so that the service catalogue can be adjusted. External representation. Speak at sector events and contribute to thought leadership alongside our principal investigators, building recognition for CLS among education buyers in your region. Targets and KPIs The role carries a quota set on net-new signed bookings (total contract value) in your territory, with a six-month ramp and a quarterly review: Net-new signed bookings (TCV) Reference clients signed Average engagement value Audit-to-implementation conversion Blended gross margin on signed work New qualified opportunities created Forecast accuracy What you bring Network in the sector. Eight or more years selling into education, research or corporate learning in EMEA, preferably DACH and/or the UK, with decision-maker relationships you can open within the first 90 days. You should be prepared to discuss your top 15 target accounts and the route into each. A closing record in complex services. Consistent achievement against a quota of €1M or more in professional services, consulting, systems integration or enterprise EdTech, covering six-figure deals, multi-stakeholder buying groups and six- to twelve-month cycles. Consultative selling. Experience selling scoped engagements whose deliverables were defined jointly with the client, and fluency in a recognized methodology such as MEDDIC, Challenger or Command of the Message. Domain credibility. The ability to hold a substantive conversation with a pro-vice-chancellor about digitalization, a CLO about competency frameworks or a research director about co-funded projects, together with a working understanding of how universities and research organizations buy: budget cycles, committee approval, procurement frameworks and public tender rules. Comfort in an early-stage unit. Experience building a territory or a new offering from a standing start, and the ability to sell a service catalogue that is still being completed. Languages. Business-fluent German and English . Both are required, since public education buyers in DACH contract in German. Commercial discipline. Rigorous CRM and forecasting practice, and a readiness to qualify out early rather than carry unlikely deals. Professional integrity. You will represent a research institution to universities and public bodies, so commitments made during the sales process must be ones delivery can meet. Nice to have Experience selling into publicly funded research programmes, or EU and national grant-co-funded projects (Horizon Europe, Innovate UK, BMBF). Working knowledge of the LMS/SIS landscape and its incumbents — Instructure, D2L, Cornerstone, Moodle, SAP SuccessFactors. Experience with UK public procurement frameworks (Crown Commercial Service, JISC) or German public tendering (VgV, e-Vergabe). Background in the education practice of a systems integrator, Big Four firm or consultancy. Prior success selling talent, recruitment or academic content services. French, Italian or Dutch as a third language. An existing speaking profile in the education or L&D community. Location and travel Candidates must be based in Europe and hold an existing, unrestricted right to work in their country of residence. Relocation is not offered for this position: the network the role depends on should already be in the market. Preferred bases are Germany, Switzerland, Bulgaria or the UK. The role is remote or hybrid, with regular time in Bremen and at the London commercial hub. Expect travel of up to 40% within EMEA for client meetings, tenders and sector events, plus occasional travel to other Constructor locations. What we offer Base salary and commission , weighted approximately 60/40 at on-target earnings, with accelerators above 100% of quota. The band is competitive for a Director-level individual contributor in DACH or the UK and depends on location and experience. A guaranteed ramp across the first two quarters while the pipeline is built. Commission on margin as well as revenue , so that well-scoped work is rewarded ahead of discounted work. Access to our researchers , including principal investigators, CERN-level data scientists, and education methodologists who will join your client meetings. An existing reference base , including named proctoring and platform deployments. Influence over the offering. As the key commercial voice in these markets, you will shape a service catalogue that is not yet fixed.