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About the Role This is a founding-team opportunity at a small, fast-moving healthtech AI company building evidence infrastructure for safety-critical medical imaging AI. As a Founding Forward-Deployed ML Engineer , you will sit at the intersection of research, product deployment, and clinical operations — working directly with hospital partners to evaluate and deploy medical imaging AI in real-world clinical settings. You will play a central role in bridging the gap between benchmark performance and clinical reliability, translating AI models into trusted tools for patient care. This is a high-ownership, high-impact role suited to someone who is equally comfortable writing code, navigating clinical environments, and driving cross-functional projects to completion. Work arrangement: Hybrid, on-site in Sunnyvale, CA. Travel to hospital partner sites required as needed. Visa sponsorship: Not available. What You'll Do Build reproducible evaluation pipelines and validation workflows for medical imaging AI in clinical settings. Lead forward-deployed engagements by working on-site with hospital partners to integrate models into clinical workflows. Analyze model generalization, failure modes, and uncertainty to inform clinical reliability assessments. Integrate ML models into clinical imaging systems and radiology pipelines (DICOM/PACS). Translate clinical needs into technical requirements and drive cross-functional projects through to completion. Support regulatory submissions and clinical evaluations (FDA pathways such as 510(k) and De Novo) and maintain related documentation. Ensure data privacy and regulatory compliance (HIPAA) across all ML deployments. Establish and maintain MLOps practices for deployment, monitoring, and ongoing evaluation. What We're Looking For Required (dealbreakers): 2+ years of Machine Learning / Engineering experience. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience. Requi
About the Role This company is building an AI executive assistant that operates across email, calendars, meetings, and business software. As a Data Scientist — Agent Evaluations & Quality , you will own the measurement system that determines whether the assistant is genuinely improving in ambiguous, real-world environments. You'll partner directly with AI Agent Capabilities engineers to generate the evidence that shapes product decisions, model choices, and release quality. This is a high-ownership, deeply technical role at the intersection of applied data science, LLM evaluation, and product quality — ideal for someone who thrives on turning hard, open-ended quality questions into rigorous, actionable answers. What You'll Do Architect and maintain automated evaluation pipelines that measure agent quality across product surfaces. Translate agent capabilities into explicit pass, partial-pass, and failure criteria for complex multi-step tasks. Build representative gold datasets and regression suites covering real workflows, edge cases, and adversarial scenarios. Define meaningful metrics — task success, tool-selection accuracy, instruction adherence, factual consistency, latency, cost, and reliability. Design deterministic and model-based graders, calibrate LLM-as-a-judge systems, and track grader agreement. Compare models, prompts, and implementations using rigorous offline experiments and production evidence. Analyze traces and production outcomes to identify root causes and build a practical failure taxonomy. Turn production failures into regression cases and continuously close gaps in evaluation coverage. Build dashboards and release-quality signals that make results actionable for engineering, product, and leadership. Recommend improvements to capability engineers and verify that fixes raise quality without unacceptable regressions. What We're Looking For Required 4+ years in Applied Data Science or Machine Learning roles, with a track record of building and
About the Role A fast-growing, Y Combinator–backed startup in the AI marketing space is hiring their first engineer in Munich. This is a true founding-scope role: you will own full product features end to end, working side by side with the founders and directly with customers. The company builds a marketing suite that helps brands understand, monitor, and improve their visibility across AI agents and AI-powered search platforms — a category that is growing rapidly. You will span product thinking, frontend, backend systems, LLM pipelines, data, and customer conversations. If you thrive in ambiguity, love shipping things that matter, and want real ownership from day one, this role is for you. What You'll Do Own full product features from ambiguous problem through to live, customer-validated product Work directly with founders and customers to figure out what to build next Design and implement LLM pipelines and agentic workflows that power core product capabilities Build across the full stack — frontend UI, backend services, and data layers Design simple, intuitive UX for complex workflows Talk to customers regularly and translate feedback into concrete product improvements Continuously iterate until features create measurable customer value What We're Looking For Required: Eligible to work in Germany, or able to obtain a work visa (sponsorship is available) Willingness to work on-site in Munich — this role is fully on-site Hands-on experience designing and implementing LLM pipelines and agentic workflows in production Strong track record shipping production SaaS features end to end Comfortable owning full-stack work from a blank page to a live product Skilled at designing clear, simple UX for complex product surfaces Solid experience with TypeScript and React Strong communication skills and genuine enthusiasm for direct customer engagement Has shipped a product from 0 to 1 before Nice to Have: Experience with Vite, Supabase, Vercel, and/or ClickHouse Familiarity with
About the Role Join a fast-growing Construction Technology (ConTech) SaaS company that uses artificial intelligence to transform how sales teams in the construction industry discover, qualify, and win new projects. As a Sales Development Representative for the DACH region , you'll be the first point of contact for prospective customers — playing a pivotal role in driving growth and building long-term partnerships across Germany, Austria, and Switzerland. What You'll Do Proactively identify and engage prospects that match the ideal customer profile within the DACH construction market. Conduct outbound outreach (email, phone, LinkedIn, and other channels) to generate qualified pipeline for the sales team. Communicate the value of an AI-powered Revenue Engineering platform to construction industry decision-makers. Qualify inbound and outbound leads through discovery conversations and pass them to Account Executives. Maintain accurate records of activity and prospect data in the CRM. Collaborate closely with marketing and sales leadership to iterate on messaging and targeting strategies for the DACH market. Represent the company at industry events and help foster a strong market presence in the region. What We're Looking For 0–2 years of experience in sales, business development, or a customer-facing role (SaaS or B2B experience is a plus). Native or near-native German language skills; strong English proficiency required. Excellent communication and interpersonal skills — you're comfortable picking up the phone and starting conversations. Self-motivated, curious, and eager to learn in a fast-paced, high-growth environment. Familiarity with CRM tools and sales engagement platforms is advantageous. Interest in or exposure to the construction industry, AI, or SaaS is a bonus — but not required. Ability to work from our Munich office in a hybrid setup. Visa sponsorship: Available for eligible candidates who can obtain work authorization in Germany. Compensation & Benefi
About the Role Join the technical customer-success team at a fast-growing, Y Combinator-backed AI voice SaaS startup headquartered in Berlin. As a Customer Engineer , you'll sit at the intersection of product, engineering, and customers — ensuring successful adoption of the platform, resolving technical challenges, and translating real-world customer needs into meaningful product improvements. Your work will have a direct impact on customer satisfaction and the broader mission of automating customer call operations at scale. What You'll Do Provide hands-on technical guidance to help customers deploy, configure, and optimize the platform for their specific use cases. Troubleshoot PostgreSQL-backed data workflows and full-stack code (TypeScript, React, Node.js, Python) alongside customers. Support customers in building effective prompting strategies and AI agent workflows to unlock maximum value from the product. Build and maintain strong, trust-based customer relationships, acting as the primary technical liaison between customers and internal product/engineering teams. Gather, synthesize, and communicate customer feedback to drive product improvements, documentation, and roadmap decisions. What We're Looking For Required 2+ years of Software Engineering experience with demonstrated, direct business impact through written code. Solid experience with TypeScript, React, Node.js, and Python . Familiarity with PostgreSQL , including troubleshooting data workflows. Experience in a customer-facing capacity — technical support, solutions engineering, developer relations, or similar. Ability to help customers with prompting techniques and AI agent workflows. Excellent written and verbal communication skills; comfortable serving as a bridge between technical and non-technical stakeholders. Nice to Have Strong computer science fundamentals. Prior experience in B2C SaaS, conversational AI, or voice automation products. Genuine curiosity and enthusiasm for AI/LLM-driven products
About the Role Join a fast-growing, mission-driven climate tech company using AI and advanced satellite imagery to help electric utilities manage vegetation risks — preventing wildfires, reducing outages, and building a more resilient energy grid. You'll be part of a multidisciplinary Vegetation Modeling team working at the intersection of geospatial data, machine learning, and real-world environmental impact. As a Senior Geospatial Machine Learning Engineer , you'll spend most of your time working within small, focused groups to experiment with, build, and improve algorithms that help understand how vegetation affects utility infrastructure. Past work has included co-registering imagery, locating critical energy infrastructure, and identifying tree species, heights, and health. Current work spans maintaining and improving these solutions as well as developing new features to assess wildfire risk and evaluate vegetation management strategies. What You'll Do Develop new vegetation intelligence products using standard geospatial Python libraries alongside machine learning and deep learning tools. Support existing products through data exploration, model improvements, and bug fixes — working regularly with QGIS , Dagster , Sentry , and Grafana . Lead projects and initiatives end-to-end: own planning, execution, and delivery, ensuring the value of contributions is clearly communicated to stakeholders across the organisation. Build tooling and processes to measure the performance and business value of your team's work, supporting data-driven prioritisation decisions. Collaborate closely with upstream data ingestion teams and downstream delivery/refinement teams throughout the full scientific product lifecycle. Contribute to shaping team culture, processes, and technical direction at an early-stage, high-growth company. What We're Looking For Required 8–10+ years of relevant experience in machine learning engineering, geospatial engineering, or a closely related field. St
About the Role Join a small, engineering-heavy team building the leading open-source LLM engineering platform — think "Datadog for AI applications." The platform helps teams trace, evaluate, and manage prompts across the full LLM development lifecycle, and is trusted by a large and rapidly growing base of developers at startups and Fortune 50 enterprises alike. The company recently joined forces with a major data infrastructure player, enabling it to move even faster on product while staying true to open-source and self-hosting. As a Product Engineer on the Growth team , you'll own the full funnel — from top-of-funnel awareness through activation, adoption, and expansion — and have real latitude to run bold experiments that directly move the needle on growth. What You'll Do Analytics & data stack: Build and maintain the product analytics infrastructure (e.g. event tracking, BI tooling, columnar databases) to generate deep insights into user behavior and funnel performance. Funnel mapping: Define and instrument core funnels for each product feature; make it easy for the team to monitor activation, adoption, and retention. Experimentation: Design and run A/B tests and growth experiments — from onboarding flows to in-product nudges — to validate hypotheses and improve key metrics. SDK & integration development: Develop and maintain client SDKs and integrations (multi-language, versioned, packaged) that reduce time-to-value for new users. Self-serve & activation: Build in-product experiences, guided flows, and documentation hooks that help customers reach their "aha moment" faster with less hand-holding. Feature adoption & expansion: Identify and act on opportunities to help customers expand from a single product area to the full platform offering. Cross-functional collaboration: Work closely with product, design, marketing, and sales to align on priorities, communicate tradeoffs, and ship impactful work quickly. Open-source community: Contribute to open
About the Role A fast-growing, Y Combinator–backed conversational AI startup is hiring its founding Sales Development Representative to join the Growth team in Berlin. This is a ground-floor opportunity to own pipeline generation for a voice AI product with strong, proven market demand — and a clear path to full-cycle deal ownership as you ramp up. You'll help shape the sales playbook, build repeatable go-to-market motions, and play a direct role in scaling revenue quickly. If you thrive in high-energy, low-ego environments and want your work to have a measurable impact from day one, this role is for you. What You'll Do Generate qualified pipeline to drive aggressive revenue growth over the next year. Identify the right prospects and engage them through strategic outreach. Drive multi-channel outreach across email, LinkedIn, and phone. Build and manage relationships with customers from first touch onward. Manage pipeline and maintain CRM tooling with rigor and discipline. Transition into owning and closing deals end-to-end after strong early performance. Help shape the GTM motion, build a repeatable sales process, and refine outreach strategies. Contribute to hiring and growing the sales team, and building out the sales playbook. What We're Looking For Required: Previous sales experience in a startup or other fast-moving environment. A proven track record of consistently meeting or exceeding targets and KPIs. Strong business acumen — ability to understand the problems and needs of diverse companies. Hands-on, scrappy approach; comfortable with unglamorous, high-volume outbound work. Proficiency with multi-channel outreach (email, LinkedIn, phone) and CRM tools. Near-native / C2-level German (non-negotiable) and strong English (B2–C1). Willingness to work on-site in Berlin five days a week . Collaborative, communicative, hungry mindset — you bring energy and leave your ego at the door. Not a fit if you: Lack direct sales experience. Prefer remote or minimally collabo
About the Role Join a small, high-conviction founding team building an AI-powered project management platform for the construction industry . As one of the first engineers, you will own the product technically from day one — partnering directly with the founders to build a category-defining platform that automates documentation, workflow management, decision tracking, and risk analysis for construction projects. This is a high-ownership, high-impact role where you will work across the full stack, from data models and backend systems to polished, responsive user interfaces, with your code shipping to real customers in days. Note: German language fluency is a hard requirement for this role. What You'll Do Build customer-facing features end-to-end, from database design through beautiful, responsive frontends. Design robust, scalable systems capable of handling complex workflows and large, real-world datasets. Operate in a high-velocity environment where ideas move to production in days, not months. Work with complex construction-industry data and build sophisticated, automated workflows. Contribute directly to product direction and technical architecture alongside the founding team. What We're Looking For Required: Fluent German speaker (hard requirement). Strong proficiency in TypeScript and Next.js for full-stack development. Hands-on experience with PostgreSQL and Supabase , including vector data. Familiarity with LangChain , TanStack Query , and shadcn UI for building UIs and AI-driven data workflows. Stable work history — preference for roles lasting 12+ months (internships excluded). Ability to take end-to-end ownership of features and directly impact customer outcomes. Nice to Have: Experience building and shipping scalable applications in an early-stage startup environment. Background or domain interest in construction, real estate, or project management tooling. University degree in Computer Science or a related field (valued, not required). Collaborative mind
About the Role Join a small, fast-moving engineering team at a seed-stage AI voice platform company building the infrastructure that powers thousands of automated customer conversations every day. This is a high-impact, end-to-end ownership role — you'll work directly alongside customers, shape core architecture decisions, and ship meaningful product experiences in an AI-first, communications-enabled environment. You'll be part of a driven, low-ego team working on-site in Berlin. What You'll Do Work closely with customers to deeply understand their problems and design product experiences that solve real challenges. Build scalable backend infrastructure capable of handling thousands of AI-driven phone calls per day. Create intuitive, AI-first user experiences that set a new standard for human–machine interaction. Own high-stakes projects end-to-end — from initial concept through production deployment and post-release support. Contribute to core architectural decisions that shape the platform's future. What We're Looking For Required 2+ years of professional software engineering experience. Strong PostgreSQL experience, including complex queries, performance tuning, and optimization. Proven experience designing scalable backend architectures and making core product and architectural decisions. Experience with scalable async processing or real-time processing systems. Hands-on experience building products for AI-first or communications-enabled platforms. Demonstrated ability to take a product from 0 to 1 and own it through production. Strong cross-functional collaboration skills — able to translate customer problems into product solutions. Familiarity with TypeScript, React, Node.js, and Python . Willingness to work on-site in Berlin, Germany . Nice to Have Familiarity with Temporal.io, Twilio, or Modal . Experience with voice infrastructure or telephony systems. Background at a startup or high-growth technology company. Compensation & Benefits Salary: €75,000 – €1
About the Role This is a rare opportunity to join a fast-growing B2B SaaS startup in the AI content space as their first dedicated Operations & Customer Success hire . You'll work directly alongside the founders, owning the full post-sales journey for a portfolio of 40+ enterprise and mid-market clients across 14+ industries. The company's product sits at the cutting edge of AI Visibility / Answer Engine Optimisation (AEO/GEO) — helping brands surface in AI-generated answers on platforms like ChatGPT, Perplexity, and Google AI Overviews. This is a founding-team-level role with real equity upside and the scope to shape how the company scales its operations and client relationships from the ground up. What You'll Do Own onboarding for new B2B clients, ensuring a smooth, high-quality experience from day one Manage and grow relationships across a portfolio of 40+ clients, acting as their primary point of contact Identify expansion and upsell opportunities within the existing client base Build and improve repeatable processes for customer success, onboarding, and operational workflows Work hand-in-hand with the founders on product feedback loops, process improvements, and strategic client initiatives Track key customer health metrics and proactively address churn risks Contribute to internal tooling and documentation to support the team as it scales What We're Looking For Required: Strong ownership mindset — you take initiative, operate autonomously, and follow through Comfortable working in an early-stage, fast-moving environment with direct founder collaboration Excellent communicator with the ability to build trust with B2B clients Eligible to work in Germany without visa sponsorship Able to work on-site in Munich or Hamburg (remote work is not available for this role) Nice to have: 0–5 years of experience in customer success, operations, consulting, or a similar client-facing role Background at a consulting firm (e.g. strategy, management, or tech consulting) or
About the Role We're hiring a Developer Relations Engineer to join a small, engineering-heavy team building one of the most widely adopted open-source platforms in the LLM engineering space. This is a rare opportunity to sit at the intersection of engineering, content creation, and community — helping developers worldwide build better AI applications through tracing, evaluation, and prompt management. This role is based in Berlin, Germany (hybrid), with one week per month expected in the Berlin office, plus occasional travel to conferences and events. What You'll Do Own and continuously improve the developer documentation — make it the best in the category Write blog posts, social content, and thought leadership pieces that define how engineers should think about LLM observability and AI application development Create cookbooks, tutorials, and code examples that deliver real, practical value to users Produce videos, demos, and engaging technical content (yes, memes welcome) Build small applications and tools that support community growth in creative, unconventional ways Engage deeply with the open-source community — onboard new users, gather product feedback, and be a trusted voice in the ecosystem Represent the platform at developer-focused events, webinars, and user cohorts through public speaking and live demonstrations What We're Looking For Required: Engineering or Data Science background — you can read, write, and reason about code Proficiency in Python ; comfortable becoming a deep expert user of the platform Proven experience creating developer-facing content: blog posts, tutorials, cookbooks, or videos Experience in developer relations, community building, or a closely related function (user onboarding, support, feedback collection) Active involvement or contributions in open-source communities; genuine OSS mindset Strong public speaking and presentation skills — comfortable with both in-person and virtual developer audiences Willingness to be on-site in Be
About the Role This is a rare opportunity to own the SDK layer of a widely adopted open-source AI engineering platform — the kind of tooling that sits at the very first touchpoint developers have with the product. The SDKs you build ship to millions of downloads per month , running in production environments ranging from serverless functions to long-running agent loops. When you ship, thousands of developers benefit the same day. The bar is high: zero-failure reliability, minimal CPU and memory overhead, and idiomatic developer experience across Python and TypeScript. You'll be the person who sets that bar and upholds it. What You'll Do Own Python and TypeScript SDKs end-to-end — reliability, performance, and developer experience. You'll drive major version rewrites and architectural improvements, including work on OpenTelemetry-based tracing. Design APIs developers love — every detail of naming, parameter structure, breaking change communication, and documentation is yours to shape. Integrate with the AI ecosystem — build and maintain integrations with LLM frameworks, model providers, and agent runtimes; keep pace with a fast-moving ecosystem. Maintain and grow open-source community health — triage GitHub issues, review pull requests, engage with contributors, and communicate clearly on public channels. Drive performance — profile, benchmark, and optimize SDK footprint across latency, memory, and throughput dimensions. Own the release lifecycle — versioning strategy, changelog communication, compatibility testing, and CI/CD automation for library releases. Collaborate cross-functionally — work closely with product and data teams across EU timezones in a small, high-trust distributed team. What We're Looking For Required: 5+ years of professional software engineering experience, with at least 2 years building or maintaining SDKs or client libraries Proven track record designing, implementing, and maintaining production-grade SDKs — including API design, versioning,
About the Role We're a fast-growing enterprise AI solutions company building production-grade Generative AI applications that drive measurable impact for our clients across industries including Private Equity, Healthcare, Manufacturing, and Ecommerce. Our team of 20+ AI engineers delivers end-to-end AI transformation — from strategy to deployment — with a focus on clean architecture and tangible results. We're looking for a Forward Deployed Engineer to operate at the intersection of engineering, product, and customer success. You'll design and ship full-stack AI workflows in ambiguous, high-stakes environments — often embedded directly with client or operations teams. This is a high-ownership, high-impact role for engineers who love working close to the customer. What You'll Do Design and implement full-stack AI applications — from UI to API to orchestration logic. Rapidly build and deploy functional prototypes to test ideas and drive immediate value for clients. Work hands-on with internal and external stakeholders to shape requirements and debug problems in real-time. Own the technical delivery of custom solutions, integrations, and workflow automation end-to-end. Collaborate closely with AI, product, and design teams to iterate on user-centric features. Contribute to a growing internal toolkit of reusable components, design patterns, and best practices for GenAI systems. What We're Looking For Required: Strong CS fundamentals and a track record of end-to-end ownership of AI-powered workflows in production environments. Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines with vector databases. Proficiency building and deploying production-grade AI applications using OpenAI APIs and LangChain. Hands-on experience with a modern frontend stack: Next.js, React, TypeScript, and Tailwind CSS. Experience deploying on cloud platforms (Azure, AWS, and/or GCP) and managing scalable AI workloads. Solid production-grade testing, monitoring, an
About the Role We are a well-funded AI/ML company operating at the intersection of geospatial intelligence and infrastructure analytics. Our engineering team is distributed across Europe and North America, and we're looking for a Senior Site Reliability Engineer to take ownership of our cloud infrastructure and elevate our DevOps and reliability practices. In this role, you'll evolve our Google Cloud Platform (GCP) infrastructure, mature our observability platform, drive incident management processes, and partner closely with Product & Engineering teams to ship reliable, high-quality software. You'll be a key voice in championing SLOs, error budgets, and DORA metrics across the organisation. What You'll Do Design, evolve, and scale our cloud infrastructure on GCP. Build tooling and automation that promote team autonomy and reduce toil. Advance our observability platform, improving mean time to recovery (MTTR) and system visibility. Build transparency into infrastructure costs and drive cost optimisation initiatives. Champion reliability best practices including SLOs/SLIs, error budgets, and post-incident reviews. Lead on-call rotations and incident management, fostering a blameless culture. Help engineering teams leverage GCP effectively and govern usage at scale. What We're Looking For Required: 3+ years of Site Reliability Engineering or production SRE experience. Strong proficiency with Google Cloud Platform (GCP) , including cost optimisation and governance. Nice to Have / Additional Skills: Hands-on experience with Kubernetes for cluster and workload management. Infrastructure as Code experience — Terraform , Deployment Manager, or similar. Scripting and automation skills in Python , Bash , or Go . Strong observability stack experience: Prometheus , Grafana , OpenTelemetry , logging, and tracing. Proven ability to define and implement SLOs/SLIs and error budgets. Experience with incident management, post-incident reviews, and on-call rotations. Location Thi
About the Role This is a high-ownership engineering role at a fast-growing, open-source AI engineering platform — think of it as the observability layer for LLM applications and agents. The platform is widely adopted across enterprises and the developer community, with tens of millions of monthly SDK downloads. As a Senior Product Engineer , you own features completely: from the initial user call to the shipped code, docs, and public changelog post. No handoffs. Recent examples of single-engineer-owned releases include a full agents observability release, a TypeScript SDK rewrite on OpenTelemetry, and a hosted MCP server for prompt management — that's the scope and autonomy on offer here. What You'll Do Own features end-to-end — conduct user calls, write specs, ship code, write documentation, and publish the changelog post under your name. Work the full stack — React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs. You touch whatever the feature needs. Build and maintain open-source SDKs and client libraries — contributing to a public, community-visible codebase with high engineering standards. Instrument and monitor production LLM systems — collecting and analyzing metrics such as latency, cost, and quality across AI application pipelines. Collaborate cross-functionally — work directly with product managers and designers, and engage with the open-source community through public code reviews and documentation. Shape product direction — bring user insights directly into prioritization and feature design. What We're Looking For Required: 5+ years of professional software engineering experience building production-grade systems. Located in the EU with the legal right to work in the EU (visa sponsorship is not available) . Ability to be on-site in Berlin approximately one week per month. Ability to work EU time zones with overlap in CET business hours. Hands-on experience building production-grade LLM applications or infrastructure (e.g. prom
About the Role We're a fast-growing, Munich-based AI-powered B2B SaaS company (founded 2022, ~25 people) building privacy-first productivity tools for sales teams. Our product spans a web app, desktop client, iOS app, and backend services — all centered around real-time, low-latency data processing and seamless CRM integrations. As a Senior Full-Stack Engineer , you'll take technical ownership of a major platform surface, work directly with the CTO and founding engineers to shape product and infrastructure strategy, and help define how we build and ship software at scale. This is a high-impact, high-autonomy role at the heart of our engineering team. The role is hybrid and based in Munich, Germany . Visa sponsorship is not available. What You'll Do Own a platform — web, desktop, iOS, or backend — and deliver real-time, low-latency features end-to-end. Architect scalable services and define cross-stack best practices that balance performance, reliability, and product velocity. Collaborate closely with the CTO and founding engineers to shape product direction and infrastructure strategy. Mentor junior engineers, lead code reviews, and foster a high-performing, learning-oriented engineering culture. Build and maintain a robust delivery pipeline, including CI/CD, test automation, and deployment strategies. Document architectural decisions and communicate clearly across engineering, product, and infrastructure teams. What We're Looking For Required: Expertise in TypeScript, React, and Node.js with a strong modern full-stack development background. Familiarity with Swift or C++ (at least one is required). Strongly valued: Experience building and operating real-time, low-latency features and performance optimizations. Exposure to audio, voice, or AI technologies . Experience with privacy-focused architectures or real-time data pipelines. Strong track record with CI/CD pipelines, test automation, and delivery infrastructure . Experience designing and operating scalable dist
Founders Factory builds and funds startups together with exceptional entrepreneurs and the world's leading companies. Created by IPO-exited founders, we offer founders capital, operational support from a team of hands-on experts, and unrivalled access to a coalition of industry-leading corporate partners. Since 2015, Founders Factory’s 450+ portfolio companies have secured 500+ pilots and commercial contracts with our partners. Our Studio partners with entrepreneurs at day one, developing new ideas, technologies and business models into high-growth companies. In partnership with a leading global industrial healthcare partner, we are building a new portfolio of healthcare ventures. About the Venture Every hospital in Europe loses millions to a manual, error-prone coding process that hasn't changed in decades. When a patient is discharged, a trained specialist reads 20–50 pages of clinical documentation and manually translates every diagnosis and procedure into standardised codes. These codes determine how much the hospital gets paid. In Germany, 17.5 million inpatient cases per year require manual coding. 51.5% of audited cases contain errors. €2.5–3 billion is clawed back annually by insurers through MD audits. 75% of German hospitals ended 2024 in deficit. The coder workforce — several thousand Kodierfachkräfte, each requiring 6–12 months of training at ~€42K salary — cannot scale fast enough. We are building an autonomous AI coding agent that reads everything the coder reads, reasons from the official coding guidelines (Deutsche Kodierrichtlinien), and enters codes into existing hospital software — in seconds, not 35 minutes. Unlike traditional ML approaches that learn from historical patterns (and inherit their errors), our architecture reasons from the rules at inference time: when InEK publishes annual updates, we swap the guideline document. No retraining. No training data needed. Every code comes with an evidence chain and DKR citation — audit-ready by constr
👋 Hey, we're Founders Factory Founders Factory builds and funds startups together with exceptional entrepreneurs and the world's leading companies. Headquartered in London and operating globally, Founders Factory backs visionary founders with capital, dedicated support from a team of expert operators, and unrivalled access to a coalition of industry leading corporate partners. Since 2015, FF has backed 450+ portfolio companies helping them to secure over 500 enterprise pilots with blue chip corporate partners such as Aviva, Northwestern Medicine, Johnson & Johnson Innovation, and HSBC. The Opportunity: Health systems globally are burdened by capacity constraints, rising chronic disease, aging populations, and escalating operational costs. Care delivery models built around physical hospitals are increasingly unsustainable. Advances in connected devices, remote diagnostics, and AI-enabled monitoring now make it possible to safely move large parts of care beyond hospital walls while improving outcomes and patient experience. The big promise of technology in this space is to enable continuous, proactive, and lower cost care particularly across long-term condition management or home-based / community care while allowing scarce clinical resources to focus where they matter most. We are looking for exceptional Venture Builders who are passionate about building the future of healthcare delivery. 🔍 Who are we looking for? As a Venture Builder, you specialise in taking ideas from zero to venture-backable businesses. You work closely with founders to shape strategy, validate problem spaces, build MVPs, and find early product market fit. This is a hands on, high ownership role. You’ll operate across product, design, growth and tech, moving fast, making decisions, and focusing relentlessly on what creates the most leverage at each stage of a venture. You have a varied skill set and will have demonstrated an interest in tech and entrepreneurship. You will be an advocate for
Werkstudent:in Content Creation mit AI (m/w/d) Remote oder Berlin | bis 20 Std./Woche | 18-22 € pro Stunde | ab sofort Über Uplane Uplane will die Marketing-Industrie mit AI neu erfinden: Wir entwickeln und betreiben AI-Software, um Performance Marketing schneller, besser und effizienter zu machen. Als AI-fokussierte Marketing Agentur bieten wir Performance Marketing Management als Service an. Wir suchen nach kreativen Köpfen, die unsere Marketing Manager im Alltag bei der Kreativ-Arbeit unterstützen. Deine Rolle Du produzierst mithilfe unserer AI-Software Creative Content: Static Ads, Video Ads und Landing Pages. Account Management und Kundenkommunikation übernehmen unsere Marketing Manager, du hast den Kopf frei fürs Kreative. Deine Aufgaben Du erstellst Static Ads, Video Ads und Landing Pages mit unserer AI-Software, von der Idee bis zum fertigen Asset Du produzierst Varianten von dem, was funktioniert, und hast Qualität und Brand-Vorgaben dabei immer im Blick Dein Profil Du bist an einer Hochschule eingeschrieben Du hast ein Gespür für Social Media und Design, und Lust auf Kreativarbeit Du sprichst fließend Deutsch Du arbeitest eigenständig und zuverlässig Du hast Lust, neue AI-Tools zu verwenden Nice to have: Erfahrung mit Paid Ads (Meta, TikTok, Google) oder Tools wie Canva, CapCut und Figma. Eigene Content-Projekte? Zeig sie uns gern. Was dich erwartet 18-22 € pro Stunde, bis zu 20 Std./Woche (bei Bedarf in den Semesterferien gern mehr) Mindestens 3 Monate, Start ab sofort Bis Anfang Oktober komplett remote, danach wahlweise remote oder in unserem neuen Berliner Office vor Ort Ownership ab Tag 1 und eine steile Lernkurve mit den modernsten AI-Tools Compensation: €18 – €22 per hour • €18 – €22 per hour Find Jobs in Germany on Arbeitnow