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

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field installation engineer (ai startup)

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sales development representative ai startup

ALMETRA

<div>At Deltia, we&rsquo;re on a mission to reinvent how factories work.
We help manufacturers - one of the most essential and overlooked sectors of our economy - run better. Every car, wind turbine, medical device, and washing machine comes from a factory. But factories today are running out of people. They struggle with efficiency, safety, and quality - and they desperately need better tools to understand what&rsquo;s happening on the shop floor.
That&rsquo;s where we come in. Deltia builds AI-powered computer vision systems that give manufacturers deep visibility into how their production lines actually run - and the insights to improve them. We don&rsquo;t sell ads or marketing software. We help real factories solve real problems.
You&rsquo;ll be joining at a pivotal moment as we scale from an early-stage startup into a category-defining company.<h2 class="jobSectionHeader">
Why join us</h2><ul><li>
Mission with real impact. You&rsquo;ll help the world&rsquo;s most important companies - the ones that actually make things - stay competitive and sustainable in the face of labor shortages and rising costs.</li></ul><ul><li>
Rocketship growth. With fresh Series A funding and global manufacturers as customers, we&rsquo;re entering a massive growth phase.</li><li>
Career acceleration. Clear path to Account Executive within 12-15 months. You&rsquo;ll learn to sell deep-tech, AI-driven enterprise deals with six-digit ACVs.</li><li>
Tight team, high standards. You&rsquo;ll work directly with our founders and AEs, learning the craft of enterprise sales from the ground up.</li></ul><h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Identify and reach out to potential manufacturing customers across Europe.</li><li>
Start conversations with operations, production, and quality leaders - the people running factories day to day.</li><li>
Qualify leads and book meetings for our Account Executives.</li><li>
Partner closely with your AE to shape pipeline, messaging, and market feedback.</li><li>
Help us scale our go-to-market playbook as we grow.</li></ul><h2 class="jobSectionHeader">
What we&rsquo;re looking for</h2><ul><li>
1-3 years in B2B sales or sales development (software experience helps, but curiosity and drive matter more).</li><li>
You move fast, take initiative, and have grit.</li><li>
Strong communication skills - written, spoken, and over the phone.</li><li>
Comfortable talking to engineers, production managers, and factory leaders.</li><li>
Organized and disciplined - you keep clean notes and know your numbers.</li><li>
Goal-oriented and motivated by learning and growth.</li></ul><h2 class="jobSectionHeader">
Bonus points</h2><ul><li>
Experience with tools like HubSpot, Sales Navigator, Lemlist, or Aircall.</li><li>
Familiarity with automation tools (Clay, n8n, or similar).</li><li>
Interest in AI, robotics, or manufacturing tech.</li></ul>
Let&rsquo;s build the future of manufacturing together.
#LI-Hybrid
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;40K - &euro;50K</div>

Sales Development Representative (AI Startup)

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)

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)

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)

TechBiz Global GmbH

<div>Berlin &bull; Cybersecurity &amp; AI Startup &bull; Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. 
We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They&rsquo;re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Lead and grow a small, high-performing engineering team while remaining hands-on</li><li>
Design, build, and review production backend and platform code alongside the team</li><li>
Own delivery of the engineering roadmap, balancing speed, quality, and security</li><li>
Act as a technical leader by setting architecture direction and enforcing engineering standards</li><li>
Contribute directly to critical features, integrations, and platform foundations</li><li>
Establish lightweight engineering processes that enable fast execution without bureaucracy</li><li>
Mentor engineers through code reviews, pairing, and technical guidance</li><li>
Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang.</li><li>
Remove blockers and unblock delivery across backend, frontend, data, and DevOps</li><li>
Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions</li><li>
Support hiring, onboarding, and technical evaluation of engineers</li><li>
Foster a culture of ownership, pragmatism, and low ego</li><li>
Build whole Security platform setup from scratch</li><li>
Partner closely with backend and AI engineers to design secure service boundaries and deployment models</li><li>
Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers</li><li>
Build PoCs and validate infrastructure and security design decisions in an early-stage environment</li><li>
Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks</li><li>
Continuously improve platform cost efficiency, reliability, and operational maturity</li><li>
This role reports directly to CEO &amp; CPTO</li></ul> 
Must have skills<ul><li>
10+ years of professional software engineering experience</li><li>
3+ years of experience leading engineering teams while remaining hands-on</li><li>
3+ years of GoLang experience</li><li>
3+ years experience with AWS in production environments</li><li>
Strong code quality bar and experience with architectural reviews</li><li>
Ability to context-switch between technical topics and people leadership</li><li>
Strong execution mindset and comfort operating under ambiguity</li><li>
Hands-on coding mentality; can build things from scratch including security architecture yourself</li><li>
Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads</li><li>
Experience with CI/CD pipelines (GitHub Actions or similar)</li><li>
Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus)</li><li>
Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)</li><li>
Knowledge of Experience supporting production SaaS platforms</li><li>
High ownership mentality, startup mindset, and ability to move quickly</li><li>
Experience in startup or scale-up environments</li><li>
Low ego, high commitment, and a true tech startup mentality</li><li>
Excellent English communication skills</li></ul>
Nice-to-have requirements<ul><li>
Previous experience as a founding or early-stage Engineering Manager</li><li>
Experience in cybersecurity, identity, or enterprise SaaS platforms</li><li>
Exposure to DevOps, SRE, or data engineering</li><li>
Experience scaling teams and systems simultaneously</li><li>
Experience with security architecture, identity security, or security engineering</li><li>
Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2)</li><li>
Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts</li><li>
Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID)</li><li>
Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar</li><li>
Experience designing permission models, identity graphs, or access control frameworks</li><li>
Knowledge of tokenization, Zero Trust principles, least privilege, and continuous verification</li><li>
Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast</li><li>
Familiarity with AI agent behavior, LLM security, or agent sandboxing</li><li>
Previous experience in cybersecurity, identity startups</li><li>
You are a fan of rock or metal music</li><li>
Excellent German communication skills</li></ul>
Benefits<ul><li>
Founding Team Member Equity &mdash; ESOPs in a well funded cybersecurity company.</li><li>
Competitive Compensation &mdash; salary aligned with market, flexible early-stage arrangements possible.</li><li>
Founding Team Member Status &mdash; shape the company from day one and own critical security technical decisions.</li><li>
Fresh Funding Secured &mdash; immediate runway to build, hire, and execute fast.</li><li>
Security Contribution &mdash; contribute to security tech architecture across identity, AI agents, and enforcement.</li><li>
High Autonomy &mdash; freedom to design and build without corporate overhead.</li><li>
Work with a Technical CEO and CPTO &mdash; fast iteration, strong alignment, clear direction.</li><li>
Cutting-Edge Domain &mdash; identity security, SaaS-to-SaaS access, AI agent governance.</li><li>
Massive Learning Curve &mdash; quickly gain depth in cybersecurity, identity, and AI systems.</li><li>
Fast Career Path &mdash; opportunity evolve into higher leadership as we scale the engineering team</li><li>
Berlin Location &mdash; top-tier tech environment with strong cybersecurity and AI ecosystems.</li><li>
Direct Impact &mdash; your architecture and code become the foundation of the entire platform.</li><li>
Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one.</li><li>
Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.</li></ul></div>

Founding Engineering Team Lead (HandsOn)

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader">Your mission</h4>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors. 
 
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them. 
 
Your job as Senior Product Engineer is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars. 
 
1. Build and ship with AI 
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul>
2. Lead technical communication with enterprise customers 
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul>
3. Help build the product org 
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><h4 class="jobSectionHeader">
Your profile</h4>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those. 
<ul><li>
Excellent written and verbal communication in English and in German (C1 or C2 must have, native not required). You can run a technical workshop with a German industrial customer end to end.</li><li>
Berlin-based or willing to relocate. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul>
Nice-to-have: background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<h4 class="jobSectionHeader">
Why us?</h4><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><h4 class="jobSectionHeader">
About us</h4>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</div>

Senior Product Engineer

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