ai engineer (m/f/d)

restaurant growth partner - germany Jobs in Berlin

restaurant growth partner - germany

senior product engineer

account executive | b2b saas / ai beauty-tech (w/m/d) Jobs in Berlin

product marketing manager berlin

legartis technology AG

<div><h4 class="jobSectionHeader">Description</h4>
Legartis is on a mission: to unlock legal work at scale.
We have already set the standard for AI-powered contract review, helping teams work with greater precision than ever before. But that is just the beginning. We are building a holistic platform that goes far beyond review - connecting people, ideas, and knowledge to fundamentally change how legal teams operate.
When you join Legartis, you don&rsquo;t just take a job - you take ownership. We are a team of product builders and legal experts who believe that true problem-solving requires more than just code; it requires a thoughtful process. We don't chase hype; we build substance. If you&rsquo;re a tech savvy product marketer who understands the audience and fuels growth through product marketing, this is your opportunity to make a significant impact in an emerging industry.
Ready to build great things together?
Please submit your CV along with a Cover Letter outlining your Ambition to join Legartis. Applications without a Cover Letter will not be accepted.<h4 class="jobSectionHeader"> 
Your mission</h4>
You shape how Legartis wins in the market:<ul><li>
Make our products clearly differentiated and highly competitive - by developing and continuously sharpening positioning and messaging across our portfolio.</li><li><div>
Drive go-to-market strategy and execution for launches, expansion, and adoption - from plan to impact.</div></li><li><div>
Find market opportunities others miss - deep knowledge of our ICP, competitive landscape, and buyer needs isn't just insight work, it's how you shape what we build and how we sell it.</div></li><li><div>
Arm every team to win - create the assets, narratives, and enablement materials that make Sales, Marketing, and CS more effective.</div></li><li><div>
Feed product strategy with market truth - bring customer and competitive intelligence back to the product team so we build what matters.</div></li><li>
Work across the company, not in a silo - you sit in Product, but your influence reaches Marketing, Sales, and leadership.</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li><div>
4+ years in marketing, growth, product marketing, or product management at a SaaS company. Creativity matters more than a traditional background.</div></li><li><div>
Proven strategist: demonstrated success creating and executing marketing strategies.</div></li><li><div>
Storyteller: you craft compelling materials about complex AI products for non-technical audiences.</div></li><li><div>
Clear communicator: exceptional written and verbal communication with a strong visual sensibility.</div></li><li><div>
Impact-driven: comfortable with experimentation and interpreting both quantitative and qualitative data.</div></li><li><div>
AI-savvy: crafty with AI tools and automations &mdash; you use them daily and keep exploring what's new.</div></li><li><div>
Fluent in English and German.</div></li><li><div>
Nice to have: previous experience in legal tech.</div></li><li><div>
You are warm, pragmatic, and naturally curious. You ask the right questions, communicate clearly, and have a bias toward action. You are a true team player who elevates the people around you.</div></li></ul><h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Shape the future of Legal Tech in an emerging market building an impactful AI product.</li><li><div>
Opportunity to work self organised and add to technology as well as features.</div></li><li><div>
Work with a talented and dedicated team of researchers and engineers. Here you can make an impact and grow professionally.</div></li><li><div>
Competitive salary and participation of the Employee Stock Ownership Plan (ESOP).</div></li><li><div>
Modern office in Leipzig with at least 2 days per week in the office or hybrid in Berlin.</div></li><li>
Regular team events in Zurich, Leipzig and offsite like restaurant testing, hiking and more.</li></ul><h4 class="jobSectionHeader"> 
Process</h4>
Our process is built on respect and transparency:<ul><li>
30 min. interview with People &amp; Operations Manager (cultural fit): Have a chat to get an understanding of Legartis and the role you are interested in. We in turn want to get to know you and your expectations of your next challenge.</li><li>
20 min. interview with Head of Product (professional fit): Understand the professional requirements for this position better, as well as your future tasks and team setup.</li><li><div>
1h interview with Product and Marketing teams (case study): To demonstrate your abilities, you have an in-depth interview with our product team. You showcase your abilities by presenting a real life use case in product marketing.</div></li><li><div>
Additional interviews: Meet the team you would be working with and take the opportunity to pose any remaining questions. One meeting will be in our Leipzig office to meet the team in person and get to know the work place.</div></li><li>
Decision is made: If we&rsquo;re considering each other to be the right fit, you are welcomed by the Legartis team!</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are Legartis, a LegalTech company that is changing the way contracts are reviewed and analyzed today. Our SaaS solution uses artificial intelligence to automate contract review for legal departments and law firms. We are a growing and ambitious team on a mission to eliminate repetitive tasks in everyday legal work. Since our founding in 2017, we have won various awards such as the Swiss Fintech Awards, been listed as a Top100 startup in Switzerland and named by Forbes as one of the best AI startups in the DACH region.</div>

Product Marketing Manager (Berlin)

Cortea AI

<div><h1 class="jobSectionHeader">About us</h1>
We&rsquo;re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment.
Backed by top-tier VCs with &gt;15m funding, with a working product and paying customers, we&rsquo;re rapidly scaling.
We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office.<h2 class="jobSectionHeader">
Your Role</h2>
We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it.
A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works.
Our engineering team is a small, flat group of builders: strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless</li><li>
Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them</li><li>
Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently</li><li>
Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind</li><li>
Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what</li></ul><h2 class="jobSectionHeader">
Qualifications</h2>
You'll fit here if you:<ul><li>
Have 5+ years shipping production web applications across the stack</li><li>
Write production APIs and model the data behind them so it holds up under multi-tenancy and load</li><li>
Are strong on the frontend and can build genuinely complex UI</li><li>
Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals</li><li>
Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster</li><li>
Bring a strong product mindset and real ownership of outcomes</li><li>
Make architectural decisions, weigh trade-offs, and build things other engineers can extend</li><li>
Are comfortable with ambiguity and work things out from fundamentals when there's no established answer</li></ul>
Nice-to-haves that are a plus:<ul><li>
Hands-on experience building agents, harnesses, or eval pipelines</li><li>
Data-dense or workflow-heavy B2B products</li><li>
Scaling multi-tenant systems as data and traffic grow</li><li>
Audit, finance, compliance, or another domain where being wrong is expensive</li><li>
Early-stage startup or fast-moving engineering environment</li></ul>
No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk.<h2 class="jobSectionHeader">
Our tech</h2><ul><li>
React, TS, Tailwind, TanStack</li><li>
Python, Postgres, Temporal, Kafka, Redis</li><li>
GCP, Azure, k8s</li><li>
GitHub, Linear, Slack, Notion</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
High impact &amp; growth: Front-row seat to scaling an AI startup with real ownership from day one</li><li>
Mission-driven culture: First-principles thinking, bold ideas, and a supportive team</li><li>
Attractive compensation: competitive salary + meaningful equity</li><li>
Personal development: Learning budget for courses and conferences</li><li>
True Berlin startup environment: Central Berlin office, team lunches, retreats, flexible vacation</li></ul><h1 class="jobSectionHeader">
Interview process</h1><ul><li>
First Call &mdash; Intro to Cortea with our Founders Associate Liza</li><li>
Second Call &mdash; Technical interview with our Member of Technical Staff Jendrik</li><li>
Third Call &mdash; Deep dive into our culture with our Co-Founder Philipp</li><li>
On-site Half-Day (Berlin) &mdash; Meet the team and work on a real problem together</li></ul></div><div></div>

Senior/Staff Fullstack Engineer (m/f/x)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a lean, high-impact engineering team at a Series A PropTech startup building agentic AI systems that observe, decide, and act on real-world property operations &mdash; with humans in the loop. This is a full-stack, end-to-end ownership role: you'll modernize legacy systems, design autonomous workflows, and turn messy operational processes into clean, production-ready software. If you thrive in small teams, think like a founder, and want your work to matter immediately, this role is for you.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own features end-to-end, learning the business deeply enough to drive solutions independently.</li><li>
Design and build agentic AI workflows for guest communication (chat and voice), operational decisions, and property management tasks.</li><li>
Modernize legacy systems and redesign data structures to meet evolving product requirements.</li><li>
Shadow real operational workflows to uncover inefficiencies, workarounds, and hidden steps &mdash; then turn them into reliable software.</li><li>
Scope, ship, and iterate on problems rather than just working through a ticket queue.</li><li>
Collaborate closely with internal teams to align product and engineering direction.</li><li>
Operate with high agency and ownership, delivering results rapidly and safely.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Required:<ul><li>
Demonstrable engineering experience you can showcase during the hiring process.</li><li>
Strong proficiency in TypeScript and React for full-stack development.</li><li>
Fluent spoken and written English with excellent communication skills &mdash; including asking the right questions to unblock work.</li><li>
Proven track record of shipping quickly while exercising sound judgment about acceptable trade-offs.</li><li>
Ability to self-manage: plan work, communicate progress, and flag blockers proactively.</li><li>
Comfort working in an agentic engineering style (e.g., running multiple AI coding agents and terminals in parallel).</li><li>
Familiarity with Express, PostgreSQL, MongoDB, and AWS; experience with Linear and Notion for tracking and documentation.</li><li>
Strong product taste &mdash; attention to user experience down to messaging and interaction wording.</li><li>
Willingness to relocate to Berlin, Germany and work from the office regularly.</li><li>
Eligibility to work in Germany without visa sponsorship (sponsorship is not available).</li></ul>
Nice to Have:<ul><li>
Experience with agentic AI or AI agent systems.</li><li>
Prior startup experience or a founder mentality.</li><li>
Background in hospitality or PropTech domains.</li><li>
Strong product sense and product-minded approach to engineering.</li></ul><h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3><ul><li>
Salary: $90,000 &ndash; $110,000 USD annually</li><li>
Small, accountable team focused on outcomes over meetings</li><li>
High-impact work in a fast-growing AI-native platform</li><li>
On-site role in Berlin with a collaborative, startup environment</li></ul><h3 class="jobSectionHeader">
Location</h3>
This is an on-site role based in Berlin, Germany. Candidates must be willing to relocate to Berlin and work from the office regularly. Visa sponsorship is not available &mdash; candidates must already be eligible to work in Germany.</div>

Product Engineer (Full-Stack / Agentic AI)

Langdock

<div>
 
 About Langdock
 
 
 
 We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio.
 
 
 We are model-agnostic, fully GDPR-compliant, and ISO 27001 &amp; SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator.
 
 
 
 About The Role
 
 
 
 AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.
 
 
 As an
 
 AI Adoption Engineer
 
 in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering:
 
 discovering high-value use cases, scoping them, building them, and making sure they stick
 
 . You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own.
 
 
 This is a
 
 technical role
 
 . You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a AI Adoption Engineer, you set the standard for what that looks like.
 
 
 You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture.
 
 
 You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer.
 </li>
 <li>
 Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain.
 </li>
 <li>
 Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer.
 </li>
 <li>
 Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently.
 </li>
 <li>
 Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects.
 </li>
 <li>
 Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps.
 </li>
 <li>
 Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 You have
 
 3+ years of experience in a technical, customer-facing role
 
 - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product.
 
 
 You have
 
 experience working with enterprise customers on high-impact use cases
 
 : scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side:
 
 building demos
 
 that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible.
 
 
 You are
 
 comfortable running workshops
 
 with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications.
 
 
 You
 
 understand AI deeply
 
 and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You
 
 write production-quality code
 
 in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup.
 
 Agentic coding tools are a core part of how you operate
 
 .
 
 
 You are fluent in
 
 English (C1+)
 
 .
 
 German is a strong plus
 
 , since many of our customers are German-speaking enterprises.
 
 
 
 Bonus
 
 : you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus.
 
 
 
 How We Work
 
 
 
 <ul>
 <li>
 100% on-site in our Berlin office (Greifswalder Strasse 212)
 </li>
 <li>
 Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed
 </li>
 <li>
 We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture
 </li>
 <li>
 We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here
 </li>
 <li>
 We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary with equity participation
 </li>
 <li>
 Free lunch and dinner, every day in the office
 </li>
 <li>
 Premium gym access (right around the corner)
 </li>
 <li>
 Relocation support for those moving to Berlin
 </li>
 <li>
 A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV.
 
 
 Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.
</div>

AI Adoption Engineer - m/f/d

Almedia

<div>
 This isn&rsquo;t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We&rsquo;re aiming to become Germany&rsquo;s second bootstrapped unicorn. Almedia is already Europe&rsquo;s #3 fastest-growing company in 2025 (FT1000).
 
 
 We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers&rsquo; products. We are offering a new way to acquire users for the biggest companies in the world.
 
 
 
 At Almedia, You&rsquo;ll
 
 
 
 <ul>
 <li>
 Own way more, way earlier &mdash; you&rsquo;ll be trusted with responsibility fast.
 </li>
 <li>
 Push harder, get further &mdash; this isn&rsquo;t a 9&ndash;5. We highly reward intensity.
 </li>
 <li>
 Join a rare environment &mdash; you will work with ambitious high-speed, high-ownership people.
 </li>
 <li>
 Fully present &mdash; we&rsquo;re 5 days a week in the office to build the energising momentum we need.
 
 
 </li>
 </ul>
 
 Creative Gen AI Specialist
 
 
 
 Salary range: &euro;90,000-120,000/annum
 
 
 As our
 
 Creative Gen AI Specialist
 
 , you are the engine behind our creative efficiency. You won't just be using tools, you will be building the systems that define the future of our visual output. Your mission is to outperform traditional workflows by leveraging cutting edge AI to create high impact assets at scale.
 
 
 
 What You'll Do 🎯
 
 
 
 <ul>
 <li>
 Architect Automated Pipelines: Build and manage sophisticated, node-based automation workflows and AI agents to move from prompt to production with minimal manual friction.
 </li>
 <li>
 Scale Creative Production: Produce high performance video ads and social assets by integrating AI generated characters, motion, and voice synthesis.
 </li>
 <li>
 Model Fine-Tuning: Train and apply LoRAs and fine-tune models to ensure absolute brand, product, and character consistency across all media.
 </li>
 <li>
 Technical Integration: Work with technical leads to integrate AI models via APIs and custom scripts into our internal Digital Asset Management (DAM) and UGC tools.
 </li>
 <li>
 Performance-Driven Iteration: Deploy AI agents to handle rapid localization and asset optimization, testing thousands of variations based on real-time data from our UA and Data teams.
 </li>
 <li>
 R&amp;D &amp; Benchmarking: Maintain an industry-leading grip on the AI landscape, instantly testing new releases (image, video, and audio) to keep our environment cutting-edge.
 
 
 </li>
 </ul>
 
 The Resources at your disposal 🚀
 
 
 
 You will operate within a dedicated growth unit, supported by:
 
 
 <ul>
 <li>
 UA Strategy: A dedicated UA Manager to provide instant feedback on creative performance and scale winning assets globally.
 </li>
 <li>
 Data Science: Full access to our Data Department to build data backed frameworks for your next generation of prompts.
 </li>
 <li>
 Creative Excellence: Direct collaboration with Art Directors and Designers to ensure AI outputs meet high aesthetic standards while identifying manual tasks ripe for automation.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring 💡
 
 
 
 <ul>
 <li>
 Technical Mastery: Expert-level proficiency in the full AI stack: image (Midjourney/Flux), video (Runway/Kling/Veo), and audio (ElevenLabs).
 </li>
 <li>
 Workflow Engineering: Proven ability to build multi-step generation chains and reusable prompt systems that are scalable and repeatable.
 </li>
 <li>
 Post-Production Innovation: Hands-on experience with AI lip-syncing, face-audio alignment and localization pipelines.
 </li>
 <li>
 Developer Mindset: A strong understanding of software fundamentals, including AI-assisted coding, databases, and API integrations.
 </li>
 <li>
 Passion-Led Curiosity: AI generation is your personal hobby. You experiment with new models and techniques before they hit the mainstream.
 
 
 </li>
 </ul>
 
 What else do we offer?
 
 
 
 <ul>
 <li>
 Full Data Team Access so you have an open door to our entire data department to pull deep insights, ensuring your AI iterations are fueled by hard evidence, not just aesthetics.
 </li>
 <li>
 Full Creative Team Access so you can work directly with our designers and art directors. You will use their expertise to ensure every AI output meets our high aesthetic standards while identifying exactly which manual design tasks are suitable for automation.
 
 
 </li>
 </ul>
 
 What Makes You a Great Fit 🌟
 
 
 
 <ul>
 <li>
 You thrive at the intersection of logic and creativity. You know when to use a specific model over another, how to bridge the gap between a raw prompt and a polished brand asset, and how to turn a manual creative bottleneck into a push-button automated solution.
 
 
 </li>
 </ul>
 
 Why Almedia? 🚀
 
 
 
 <ul>
 <li>
 Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
 </li>
 <li>
 Scale With Almedia: Grow alongside a startup that has been profitable from day one.
 </li>
 <li>
 Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
 </li>
 <li>
 Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
 
 
 </li>
 </ul>
 We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
</div>

Creative Gen AI Specialist

Right Search

<div>Account Executive | B2B SaaS / AI Beauty-Tech (w/m/d)

Berlin-Sch&ouml;neberg &ndash; unbefristet, Vollzeit, 3+ Tage vor Ort, OTE &euro;100.000&ndash;&euro;120.000 (uncapped)

Du willst nicht nur Quotas erf&uuml;llen, sondern ein Sales-Motion von Grund auf bauen &ndash; in einem profitablen AI-Beauty-Startup, wo du direkt neben den Foundern sitzt, ungedeckte Provision kassierst und echte Equity bekommst?

Hier geht's nicht um Titel, sondern um jemanden, der B2B SaaS wirklich verkauft hat, seinen eigenen Pipeline selbst sourced, in Early-Stage-Startups schon 0-to-1 gegangen ist und Lust hat, die GTM-Engine f&uuml;r ein AI-Skincare-Produkt zu z&uuml;nden.

Unser Kunde 
Unser Kunde ist ein profitables, bootstrapped AI-Beauty-Tech-Startup in Berlin-Sch&ouml;neberg mit 3 Foundern + 1 ML Engineer. Hier wird nicht verwaltet, hier wird gearbeitet &ndash; mit Ownership-Mindset, Craftsmanship, Bias for Action und dem Anspruch, dermatologische Hautpflege-Beratung in jeden Kunden-Interaction zu bringen. Direkter Draht zu CEO und CMO, 6-stelliges ARR, globale Beauty-Brands, 6.000 Scans pro Woche.

Warum dieser Job dich abholt
<ul>
<li>Du willst ein Sales-Motion bauen, nicht nur ein bestehendes bedienen</li>
<li>Du hast keine Lust auf Investor-Druck oder Corporate-B&uuml;rokratie, sondern willst in einem profitablen Startup echte Ownership</li>
<li>Du sucht ein Umfeld, das lean und hands-on ist und trotzdem echte Impact-M&ouml;glichkeiten bietet</li>
<li>Du willst ernst genommen werden f&uuml;r das, was du verkauferisch und analytisch kannst</li>
<li>Du willst 50/50 Split, ungedeckte Provision, 0,5&ndash;2 % Equity und 3+ Tage vor Ort mit den Foundern</li>
</ul><h2 class="jobSectionHeader">Aufgaben</h2>
<ul><li>Du startest hands-on mit SDR-Work &amp; Deal-Sourcing &ndash; kein vorgefertigter Inbound, kein SDR-Team</li>
<li>Du besitzt Deals von First Touch bis Close: Research, Outreach, Discovery, Demo, Follow-ups, Proposals, Negotiation</li>
<li>Du baust und iterierst ein wiederholbares Outbound-Motion: Segmentation, Lists, Research, Testing, Iteration</li>
<li>Du erstellst und f&uuml;hrst Outbound-Sequences &uuml;ber Email, LinkedIn, Calls und Partner-Outreach</li>
<li>Du managst deine Pipeline end-to-end: CRM-Hygiene, Forecasting, Next Steps, Stakeholder Mapping</li>
<li>Du formst Positioning und Sales Assets: Outreach Sequences, Pitch Deck, Case Studies, ROI Narratives, Business Cases</li>
<li>Du verbesserst Revenue Operations: Pipeline Stages, Dashboards, simple Automations und Data Flows</li>
<li>Du arbeitest eng mit Product zusammen, um Kunden-Feedback in shipped Improvements zu verwandeln</li>
<li>Du springst in neue GTM-Projects und shipst schnell &ndash; kein &quot;das ist nicht mein Job&quot;</li>
</ul><h2 class="jobSectionHeader">Qualifikation</h2>
<ul><li>Mindestens 2+ Jahre Quota-Carrying B2B SaaS Sales (Full-Cycle, Outbound-Driven) &ndash; das ist nicht verhandelbar</li>
<li>Du hast deinen eigenen Pipeline selbst gesourced &ndash; Inbound-Only-Profile passen nicht</li>
<li>Du hast ein Produkt verkauft, das Erkl&auml;rung, ROI-Framing und multiple Stakeholder erforderte &ndash; kein Self-Service-Checkout</li>
<li>Early-Stage-Startup-Erfahrung, 0-to-1 &ndash; du kennst das Chaos, die Ambiguity, die schnellen Priorit&auml;tswechsel</li>
<li>Erfolgreich SaaS in E-Commerce, Beauty, Fashion, D2C oder Consumer Brands verkauft &ndash; du verstehst die Zielgruppe</li>
<li>Flie&szlig;end Deutsch und Englisch &ndash; Hard Requirement, du verkaufst in DACH und international</li>
<li>Analytical und strukturiert &ndash; du zerlegst messy Problems und executest von Tag eins</li>
<li>Ownership Mindset &ndash; du nimmst Initiative, bewegst dich schnell, followst through</li>
<li>Low Ego, collaborative, bereit f&uuml;r operational Work &ndash; du baust das Playbook, nicht nur abspulst</li>
<li>Excited about AI Tools und Automation &ndash; du nutzt sie pragmatisch, nicht nur als Buzzword</li>
</ul>
Was hier nicht funktioniert
<ul>
<li>Weniger als 2 Jahre B2B SaaS Full-Cycle Sales &ndash; hier wird nicht eingelernt, hier wird gebaut</li>
<li>Kandidaten ohne nachweisbare Outbound-Track-Record und klare Success Metrics (Quota, Deals, Pipeline Sourced) &ndash; zeig es im CV oder LinkedIn</li>
<li>Reine Strategie-Profile, die hands-on Prospecting scheuen &ndash; du bist dein eigener SDR am Anfang</li>
<li>Wer fully remote oder pure Inbound-Pipeline erwartet &ndash; 3+ Tage vor Ort, Outbound ist das Game</li>
<li>Kandidaten aus Hospitality, Construction, Food Delivery oder nur wenige Monate E-Commerce &ndash; das ist nicht relevant</li>
<li>Very corporate / long-tenured Pharma-Profile ohne Startup-Sales-Exposure &ndash; hier geht's um Speed, nicht um Prozess</li>
<li>Wer das Unternehmen nicht recherchiert oder das Produkt nicht versteht &ndash; das f&uuml;hrt zu schnellen Rejections</li>
<li>Tendency to blame others oder resist Accountability &ndash; hier z&auml;hlt Ownership, nicht Excuses</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>
<ul><li>Verdienst: &euro;50.000&ndash;&euro;60.000 Basis + &euro;50.000&ndash;&euro;60.000 ungedeckte Variable (uncapped) = &euro;100.000&ndash;&euro;120.000 OTE (50/50 Split)</li>
<li>Equity: 0,5&ndash;2 % VSOP nach Probezeit &ndash; echte Beteiligung am Wachstum</li>
<li>Impact: High-Impact-Rolle mit realer Ownership und Visibility across GTM</li>
<li>Mentorship: Direktes Mentoring von den Foundern, schnelle Feedback-Loops</li>
<li>Standort: Office in Berlin-Sch&ouml;neberg, zweiter Office in Potsdam</li>
<li>Tools: Zugang zu den Tools, die du brauchst, um produktiv zu sein</li>
<li>Kultur: Team Events (Summer Party, Christmas Party, regelm&auml;&szlig;ige Team Events)</li>
<li>Zyklus: Kurze 2&ndash;3-monatige Sales Cycles, schnelle Decision Makers, direkter Product Influence</li>
</ul>
Was diese Rolle besonders macht
<ul>
<li>Du bist der erste dedizierte Sales Hire &ndash; kein Vorg&auml;nger, kein Erbe, du definierst den Standard</li>
<li>Du arbeitest direkt mit CEO Nataniel und CMO Suzan zusammen, ohne l&auml;stige Zwischenebenen</li>
<li>Du baust die GTM-Engine in einem profitablen, bootstrapped Startup &ndash; kein Investor-Druck, echte Autonomie</li>
<li>Du hast Einfluss auf Product Roadmap durch Kunden-Feedback &ndash; das ist kein isolierter Sales-Job</li>
</ul>
Bereit f&uuml;r den n&auml;chsten Schritt?

Dann bewirb dich jetzt als Account Executive &ndash; B2B SaaS / AI Beauty-Tech (w/m/d).

Egal ob dein aktueller Titel Account Executive, Outbound AE, Business Development Manager, Sales Manager, Senior SDR, Growth Manager oder Founding Sales hei&szlig;t: 
Entscheidend ist hier nicht dein Titel. Entscheidend ist, ob du B2B SaaS wirklich verkauft hast, deinen eigenen Pipeline selbst gesourced, in Early-Stage-Startups 0-to-1 gegangen bist und Lust hast, die GTM-Engine f&uuml;r ein AI-Beauty-Produkt zu z&uuml;nden.

Noch Fragen? 
08106 &ndash; 39 80 370</div>

Account Executive | B2B SaaS / AI Beauty-Tech (w/m/d)

NextexAI

<div>NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.

Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.

We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.

We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.
<h2 class="jobSectionHeader">
Tasks</h2>

As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.

You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.

Your responsibilities include:
<ul><li>Building cloud-native infrastructure and deployment pipelines</li></ul>
<ul><li>Designing and developing scalable backend services and APIs</li></ul>
<ul><li>Building dashboards, analytics systems and internal tools</li></ul>
<ul><li>Developing industrial data pipelines for machine, sensor and camera data</li></ul>
<ul><li>Supporting edge-to-cloud communication and industrial integrations</li></ul>
<ul><li>Supporting AI model deployment, monitoring and inference workflows</li></ul>
<ul><li>Structuring textile production data, defect classifications and sustainability KPIs</li></ul>
<ul><li>Working directly with pilot factories and industrial partners</li></ul>
<ul><li>Contributing to product architecture and technical strategy</li></ul>
<h2 class="jobSectionHeader">
Requirements</h2>

Strong software engineering background
<ul><li>Strong Python and C++ programming skills</li></ul>
<ul><li>Experience with FastAPI, Django, Flask, Node.js or similar frameworks</li></ul>
<ul><li>Experience with PostgreSQL or similar database systems</li></ul>
<ul><li>Experience with Docker and containerized environments</li></ul>
<ul><li>Experience with AWS, Azure or Google Cloud</li></ul>
<ul><li>Understanding of REST APIs and scalable software architectures</li></ul>
<ul><li>Fluent English</li></ul>
<ul><li>Ability to work independently in an early-stage startup environment</li></ul>

Preferred Qualifications
<ul><li>Located in Berlin or willing to relocate to Berlin</li></ul>
<ul><li>Professional working proficiency in German (prior work experience in a German-speaking environment preferred)</li></ul>
<ul><li>Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)</li></ul>
<ul><li>Experience with MLOps and model deployment pipelines</li></ul>
<ul><li>Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)</li></ul>
<ul><li>Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments</li></ul>
<ul><li>Startup or founding-team experience</li></ul>
<ul><li>Interest in textile manufacturing, sustainability and Industry 4.0</li></ul>
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>10% equity participation as a founding team member</li></ul>
<ul><li>Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year</li></ul>
<ul><li>Significant compensation increase planned following successful MVP validation and funding milestones</li></ul>
<ul><li>Opportunity to build a deep-tech startup from day one</li></ul>
<ul><li>Direct impact on product, technology and company strategy</li></ul>
<ul><li>Access to real industrial production environments and pilot textile factories</li></ul>
<ul><li>Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence</li></ul>
<ul><li>Direct collaboration with experienced founders, academic advisors and industry partners</li></ul>
<ul><li>Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin</li></ul>
<ul><li>Opportunity to shape both the product and company from an early stage</li></ul>
<ul><li>Flexible working environment</li></ul>
<ul><li>Potential CTO-level growth opportunities as the company scales</li></ul>

We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.

To apply, please submit:
<ul><li>Your CV</li></ul>
<ul><li>LinkedIn profile</li></ul>
<ul><li>A short introduction explaining why you are interested in joining NexTex AI</li></ul>

Selected candidates will be invited to:

1. Introductory discussion with the founders

2. Technical discussion and architecture review

3. Final founder meeting

If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.

We look forward to hearing from you.</div>

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

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