(junior) ai engineer (m/f/d)

senior machine learning engineer, ai platform Jobs in Berlin

senior product engineer

(junior) ai project manager (m/f/d) Jobs in Berlin

(junior) ai project manager (m/f/d)

(senior) ai & generative ai engineer (all genders) Jobs in Berlin

product manager ai

autarc GmbH

<div><h4 class="jobSectionHeader"><b>Company</b></h4><p>
Founded in Berlin, autarc is a ~40 person start-up who were part of Y Combinator&rsquo;s S24 batch in San Francisco. Our team consists of people in Sales, Tech and Operations, with the Engineering &amp; Product department currently ~20 people, as we continue to grow throughout the year.</p><h4 class="jobSectionHeader"><b><br>
Role description</b></h4><p>
We're looking for a Product Manager to work in one of our key product teams in building the leading OS for Europe's heat pump and solar workforce.</p><div><br>
You'll work alongside a team that consists of a Machine Learning Engineer, Software Engineers and an iOS Engineer, helping shape and maintain our product roadmap, run planning sessions and sprint preps with team leads, manage tickets in Linear and open Cursor to ship stuff yourself.</div><div></div><div><br>
We're always looking to build the next generation product and with a clear vision to become the agentic OS for the workforce behind the energy transition, that includes leveraging LLMs and NLP in building an AI voice agent to increase efficiencies.</div><br>
Other responsibilities will be as follows:<br>
<ul><li>
Support leadership in shaping and prioritising the product roadmap</li><li>
Run product discovery alongside our teams through direct customer engagement</li><li>
Manage product operations in Linear: triage, prioritisation, sprint hygiene</li><li>
Build and ship features or prototypes directly using AI-assisted development tools (Lovable, Figma, Cursor, Copilot)</li><li>
Facilitate planning sessions with product teams and sprint preps with engineering leads</li><li>
Represent autarc in customer calls, sales meetings, and training sessions</li><li>
Work alongside our Engineers in building and shipping material</li></ul>
This is a Product Manager position but as the landscape of the industry shifts, we also expect you to build and tangibly contribute on a day-to-day basis.<p></p><h4 class="jobSectionHeader"><b>
Requirements</b></h4><p></p><ul><li>
2-5+ years of experience as a Product Manager</li><li>
Exposure to working in B2B SaaS</li><li>
AI-native in working with tools to help you run faster and jump higher</li><li>
Experience having worked in an AI-first team/company</li><li>
Track record in conducting user interviews and product discovery</li><li>
A desired obsession to go deep AI, Machine Learning and Computer Vision</li><li>
Berlin-based and willing to work hybrid</li><li>
Native German speaking</li></ul><p></p><h4 class="jobSectionHeader"><b>
What we offer</b></h4><p></p><ul><li>
Freedom to choose your own equipment (within a budget)</li><li>
26 paid vacation days</li><li>
An annual team retreat</li><li>
The choice between Dance or JobRad for mobility</li><li>
The choice between Classpass or Urban Sports Club for fitness</li><li>
Regular team events, lunches and activities</li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Next steps</b></h4><p>
If your application is successful, you will participate in the following:</p><br>
<ul><li>
Screening call with Louis (Recruiter)</li><li>
Culture fit call with an Engineer</li><li>
Take home case study/exercise</li><li>
Final on-site interview with Etienne (CEO) and the team</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
Right now, 25% of CO2 emissions in Europe are caused by heating our buildings. In order for this to be reduced, the transition towards renewable energy needs to be simplified and made more accessible. There are too few installers to meet the growing demand for heat pumps, and a solution to match this trend needs to be brought to the market.<br>
autarc is developing the leading operating system (OS) for heat pump installers, enabling a more digital and efficient installation process for heat pumps.<br>
Through this, autarc is reducing the hurdles to decarbonizing single-family homes and small apartment buildings in Europe, with the goal to help with the planning and designing of 1 million heat pumps by 2030.</p></div>

Product Manager (AI)

Scalable

<div><b>Company Description</b><p><br>
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company&rsquo;s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than &euro;30 billion to the platform.<br>
<br>
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.</p><p>
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.<br>
<br>
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).</p><b><br>
Job Description</b><p><br>
As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligence capabilities across the entire Scalable organization. You will lead the strategy to move from siloed AI solutions to a unified, compliant, and robust internal &quot;AI as a Platform&quot; offering.</p><p>
You will work closely with a dedicated cross-functional team of Data Scientists, AI Engineers and Software Engineers, acting as the key bridge between the technical development, internal domain teams, and regulatory stakeholders to ensure AI is integrated and leveraged effectively, securely, and ethically.</p><p>
Key Responsibilities</p><ul><li>
Platform Strategy &amp; Ownership: Define, prioritize, and own the strategic roadmap for our internal &quot;AI as a Platform&quot;, ensuring it provides robust, scalable, and easy-to-integrate services for all internal domain and product teams, enabling them to consume AI capabilities without requiring them to integrate with external APIs.</li><li>
Identify Opportunities: Work in close collaboration with all internal domain and product teams to identify opportunities to employ AI capabilities, focusing on:<ul><li>
Client Experience: Enhancing core client-facing product functionality through predictive modeling and personalization.</li><li>
Operational Efficiency: Improving internal system scalability, fraud detection, and overall operational performance.</li></ul></li><li>
Use Case Implementation: Drive the implementation of strategic AI use cases across the company. Ensure efficient implementation by aligning implementation timelines across all teams involved (AI platform, domain teams, mobile,...).</li><li>
AI Compliance &amp; Governance: Act as the key product driver for AI compliance, regulatory adherence, and ethical usage. Define our approach to ensure all models and data usage are secure and compliant with current and emerging data protection laws.</li><li>
Go-to-Market (GTM) for AI Features: Support the planning, launch, and post-launch monitoring of new client-facing AI features and capabilities, ensuring smooth coordination across Product, Engineering, Data, Operations, and Compliance.</li><li>
Team Collaboration &amp; Product Leadership: Lead the product development process for the cross-functional AI Platform team, managing agile processes, backlogs, and planning sessions, and translating high-level business goals into actionable user stories for Data Scientists and ML/AI Engineers.</li><li>
Data-Driven Vision: Leverage data analysis, user needs (internal and external), market trends, and insights from LLM/AI system outputs and trace analysis, including analysis of AI agent performance and user feedback, to continuously inform and evolve the AI Platform vision and product strategy.</li></ul><p></p><b><br>
Qualifications</b><br>
<ul><li>
Passion for digital products and a strong desire to help users improve their financial well‑being through clear, trusted, and AI‑enhanced experiences.</li><li>
Proven experience as a Product Manager, working on backend services, APIs, or AI-powered products, ideally serving multiple client-facing teams.</li><li>
High-level understanding of modern AI concepts such as LLMs, prompt design, agent architectures, and evaluation approaches.</li><li>
Ability to understand technical concepts and work effectively with engineering and Data Science teams; a technical degree is a strong plus.</li><li>
Good understanding of how AI-powered services are built and evaluated, and experience working effectively with Data Scientists and AI/ML Engineers.</li><li>
Demonstrated understanding of the AI regulatory landscape, compliance requirements, and data governance principles (e.g., experience collaborating with DPO/Legal teams).</li><li>
Exceptional analytical and strategic thinking, with the ability to leverage quantitative and qualitative data to drive complex platform decisions.</li><li>
A hands-on approach and the ability to take ownership of the product development process from ideation and compliance review to scalable launch.</li><li>
Excellent English communication skills, with the ability to convey complex topics clearly and concisely to engineers, executives, and legal counsel (German is a plus).</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers</li><li>
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>
Be productive with the latest hardware and tools</li><li>
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget</li><li>
Learn and experience German culture first hand by joining our free German language classes</li><li>
International relocation support is provided if required</li><li>
Opportunity to work from abroad</li><li>
Benefit from an attractive compensation package and from the company pension scheme</li><li>
Monthly contribution of 50% for the &lsquo;Deutschland Jobticket&rsquo;</li><li>
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker</li><li>
Enjoy flexible and discounted sports activities with Urban Sports Club</li></ul></div>

Product Manager - AI Platform (m/f/x)

BABBEL

<div><p><b>About Babbel Labs</b></p><p>
Babbel Labs is building the future of language learning. We're an AI-first, independent company within the Babbel group, based in Berlin. Our teams bring AI, R&amp;D and product together to ship experiences that set a new standard for how people learn.</p><p><b>
Your Learning Journey in This Role</b></p><p>
As <b>Senior Product Manager for AI Content Creation</b>, you will lead the evolution of <b>Babbel Labs</b> AI-driven content generation capabilities. Your focus will be on building scalable, high-quality systems that enable the creation of new languages for our learning experiences with increasing automation while keeping learner outcomes and pedagogical quality at the center.</p><p>
You will operate at the intersection of <b>AI systems, content strategy, and product delivery</b>, translating emerging technical capabilities into reliable, learner-ready products.</p><p><b>
How You&rsquo;ll Make an Impact</b></p><ul><li><p>
Own the product strategy for AI-driven content creation, from discovery to execution</p></li><li><p>
Create, improve and scale AI generation workflows, including prompting, evaluation, and quality loops</p></li><li><p>
Enable faster creation of new languages, levels, and learning experiences, including more complex language systems</p></li><li><p>
Balance automation and quality, evolving human-in-the-loop processes where needed</p></li><li><p>
Define success metrics and use learner data and feedback to guide decisions</p></li><li><p>
Collaborate across Product, Engineering, Data, Design and Learning Content to deliver reliable, learner-ready solutions</p></li></ul><p><b>
Your Skills and Qualifications</b></p><ul><li><p>
A demonstrated track record of owning complex digital products end-to-end, from discovery through delivery</p></li><li><p>
Strong product judgment and the ability to operate in ambiguous, fast-evolving problem spaces</p></li><li><p>
Solid understanding of AI-powered systems and how to productize them. Experience building AI products is a plus</p></li><li><p>
Experience working closely with engineers and data teams</p></li><li><p>
A high bar for quality and a strong focus on user outcomes</p></li><li><p>
Excellent communication and stakeholder alignment skills</p></li><li><p>
Able to drive progress in ambiguous environments and communicate decisions clearly to technical and non-technical stakeholders</p></li></ul><p><b>
Please note that our company&rsquo;s operating language is English, so you will need to be able to work in English.</b></p><p><b>
Why Join Babbel Labs</b></p><ul><li><p>
Work on a mission-driven product with global impact.</p></li><li><p>
Shape how AI is used responsibly in education.</p></li><li><p>
Collaborate with experienced product, engineering, and language experts.</p></li><li><p>
Flexible working models, learning budgets, and free language learning.</p></li><li><p>
An inclusive, supportive environment that values curiosity and growth.</p></li></ul><p><b><i>
Diversity at Babbel</i></b></p><p><i>
As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you&rsquo;d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.</i></p></div>

Senior Product Manager - AI Content Creation (all genders)

Staffbase

<div><div><h3 class="jobSectionHeader"><b>About Staffbase</b></h3>
<p>
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <b>AI-native Employee Experience Platform</b>. Our<b> industry-leading and award-winning agentic AI communications channels</b> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p>
<p>
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience.<br>
We are proud to be a <b>Unicorn</b> company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</p></div><p><b>
Engineering Manager &ndash; Data &amp; Analytics</b></p>
<p>
As Engineering Manager for our Data &amp; Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.</p>
<p>
You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation &mdash; with enough technical grounding to make sound decisions and mentor engineers day to day.</p>
<p><b>
Our environment</b></p>
<ul>
<li>Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</li>
<li>While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</li>
<li>You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</li>
<li>Data governance for AI agents is an emerging and fast-growing priority &mdash; a technically exciting area we're starting to build into</li>
</ul>
<p><b>What you'll be doing</b></p>
<ul>
<li>Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</li>
<li>Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises</li>
<li>Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both</li>
<li>Bring hands-on experience in Data streaming to guide the team through an active transition</li>
<li>Raise the bar on data modeling across the team</li>
<li>Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data</li>
<li>With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed</li>
<li>Build the foundations for AI data governance &mdash; as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data</li>
</ul>
<p><b>What you need to be successful</b></p>
<ul>
<li>Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people</li>
<li>A genuine player-coach mindset</li>
<li>Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams</li>
<li>Solid data modeling skills and the credibility to make it a team-wide standard</li>
<li>Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking</li>
<li>Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership</li>
<li>Comfort operating across both platform and product delivery contexts</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>Experience with data governance for AI agents &mdash; guardrails, access control, and safety considerations for agentic analytics</li>
<li>Familiarity with data lakes, semantic layers, and orchestration tooling at scale</li>
<li>Experience in a product-led B2B SaaS environment</li>
<li>Hands-on streaming experience (e.g. Kafka or Flink)</li>
</ul>
<p><b>What you'll get</b></p>
<ul>
<li><i>Competitive Compensation</i> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li><i>Flexibility </i>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li><i>Recharge</i> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li><i>Support</i><b> </b>-<b> </b>we offer offering a company pension scheme</li>
<li><i>Volunteers Day</i><b> </b>- you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

legartis technology AG

<div><h4 class="jobSectionHeader"><b>Description</b></h4><p></p><p>
Legartis is on a mission: <b>to unlock legal work at scale.</b></p><p>
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.</p><p><b>
When you join Legartis, you don&rsquo;t just take a job - you take ownership. </b>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.</p><p>
Ready to build great things together?</p><p><i>
Please submit your CV along with a Cover Letter outlining your Ambition to join Legartis. Applications without a Cover Letter will not be accepted.</i></p><p></p><h4 class="jobSectionHeader"><b><br>
Your mission</b></h4><p></p><p><b>
You shape how Legartis wins in the market:</b></p><ul><li><p><b>
Make our products clearly differentiated and highly competitive</b> - by developing and continuously sharpening positioning and messaging across our portfolio.</p></li><li><div><b>
Drive go-to-market strategy and execution</b> for launches, expansion, and adoption - from plan to impact.</div></li><li><div><b>
Find market opportunities others miss</b> - 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><b>
Arm every team to win</b> - create the assets, narratives, and enablement materials that make Sales, Marketing, and CS more effective.</div></li><li><div><b>
Feed product strategy with market truth</b> - bring customer and competitive intelligence back to the product team so we build what matters.</div></li><li><p><b>
Work across the company, not in a silo</b> - you sit in Product, but your influence reaches Marketing, Sales, and leadership.</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li><div><b>
4+ years</b> in marketing, growth, product marketing, or product management at a SaaS company. Creativity matters more than a traditional background.</div></li><li><div><b>
Proven strategist: </b>demonstrated success creating and executing marketing strategies.</div></li><li><div><b>
Storyteller:</b> you craft compelling materials about complex AI products for non-technical audiences.</div></li><li><div><b>
Clear communicator:</b> exceptional written and verbal communication with a strong visual sensibility.</div></li><li><div><b>
Impact-driven:</b> comfortable with experimentation and interpreting both quantitative and qualitative data.</div></li><li><div><b>
AI-savvy: </b>crafty with AI tools and automations &mdash; you use them daily and keep exploring what's new.</div></li><li><div>
Fluent in <b>English</b> and <b>German</b>.</div></li><li><div><b>
Nice to have:</b> 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><p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><p></p><ul><li><p>
Shape the future of Legal Tech in an emerging market building an impactful AI product.</p></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><p>
Regular team events in Zurich, Leipzig and offsite like restaurant testing, hiking and more.</p></li></ul><p></p><h4 class="jobSectionHeader"><b><br>
Process</b></h4><p></p><p>
Our process is built on respect and transparency:</p><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><p>
Decision is made: If we&rsquo;re considering each other to be the right fit, you are welcomed by the Legartis team!</p></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
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.</p></div>

Product Marketing Manager (Berlin)

Langdock

<div>
 <strong>
  About Langdock
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 We are model-agnostic, fully GDPR-compliant, and ISO 27001 &amp; SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.
 <br/>
 <br/>
 As an
 <strong>
  AI Adoption Engineer
 </strong>
 in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering:
 <strong>
  discovering high-value use cases, scoping them, building them, and making sure they stick
 </strong>
 . You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own.
 <br/>
 <br/>
 This is a
 <strong>
  technical role
 </strong>
 . 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 You have
 <strong>
  3+ years of experience in a technical, customer-facing role
 </strong>
 - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product.
 <br/>
 <br/>
 You have
 <strong>
  experience working with enterprise customers on high-impact use cases
 </strong>
 : 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:
 <strong>
  building demos
 </strong>
 that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible.
 <br/>
 <br/>
 You are
 <strong>
  comfortable running workshops
 </strong>
 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.
 <br/>
 <br/>
 You
 <strong>
  understand AI deeply
 </strong>
 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
 <strong>
  write production-quality code
 </strong>
 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.
 <strong>
  Agentic coding tools are a core part of how you operate
 </strong>
 .
 <br/>
 <br/>
 You are fluent in
 <strong>
  English (C1+)
 </strong>
 .
 <strong>
  German is a strong plus
 </strong>
 , since many of our customers are German-speaking enterprises.
 <br/>
 <br/>
 <strong>
  Bonus
 </strong>
 : 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.
 <br/>
 <br/>
 <strong>
  How We Work
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV.
 <br/>
 <br/>
 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

hexafarms

<div><h4 class="jobSectionHeader"><b>Your mission</b></h4><p>
Own the modules of the operating system for commercial production&ndash; end to end. Understand every layer it touches, pull the experts together, and ship something customers pay for and love ????</p><h4 class="jobSectionHeader"><b><br>
About the role</b></h4><div>
We're building the operating system for commercial production&ndash; the software layer growers run their operation on. Under one roof we have people building hardware, training ML models, shipping AI, and world-class agronomists. Our OS turns all of that into modules our customers buy and rely on every day.<br>
<br>
Our product offerings are made of modules&ndash; forecasting is one example, and there are many more. We're looking for a Product Engineer to own the product end to end. That means you understand every layer it touches&ndash; the hardware feeding it data, the ML behind its predictions, the agronomy that makes it correct, the software the customer sees&ndash; well enough to earn the trust of each expert, pull them together, and ship modules customers pay for.<br>
<br>
This is the role we couldn't fill with a traditional product manager. It needs someone who can hold the whole thing in their head, decide what to build from a thin spec, and drive it across every discipline until it's done. You won't write a lot of code&ndash; that's what the experts are for&ndash; but you're technical enough to prototype, glue the pieces together, and ship code yourself when that's the fastest path.<br>
<br>
 What you'll do<br>
<ul><li><b>Own modules end-to-end</b>&ndash; from customer requirements to shipped, paid-for product. The outcome is yours.</li><li><b>Orchestrate across disciplines</b>&ndash; get hardware, ML, agronomy, and AI engineers aligned and moving, and earn their trust by genuinely understanding their work.</li><li><b>Talk to customers directly</b>&ndash; understand what they need, decide what to build, and measure whether it worked.</li><li>Build when it's the fastest path&ndash; prototype, integrate ML into the product, ship full-stack features, unblock yourself in unfamiliar territory.</li><li>Make things happen&ndash; close the loop after shipping, don't just hand off a spec.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Your profile</b></h4><p></p><ul><li>
You've <b>founded or co-founded a company, or owned a product like a founder would&ndash; </b>built it, shipped it, and lived with the consequences.</li><li>
3+ years building/managing production software. Strongly familiar with at least one backend and one frontend technology.</li><li>
You're good at talking to users and turning fuzzy needs into something concrete. FYI, most of our customers only speak German.</li><li>
You can go deep across unfamiliar disciplines&ndash; hardware, ML, a gnarly customer workflow, cloud ops far enough to make good calls and keep experts moving.</li><li>
Habitual AI power user (Claude Code, Cursor, Codex, or whatever's next). Strong opinions on AI-augmented engineering; always finding tools that make the team faster.</li><li>
You can explain technical trade-offs to engineers and non-engineers alike, and you know when to cut corners and when to be rigorous.</li></ul>
You read all of the above and think: am I really expected to be a unicorn ????? Honestly&hellip; kind of, yes. But if you tick most of these and the rest sounds like a fun stretch &ndash; we want to hear from you.<br>
<br>
<b>Nice to have</b><ul><li>
Background or genuine curiosity in agriculture, climate, or deep tech / hardware.</li><li>
Some experience interfacing ML or CV into a real product.</li><li>
You've worked close to hardware or physical systems before.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><div>
You talk to customers, decide what to build, build it, ship it, and measure whether it worked. You're comfortable with thin specs. If something breaks at the edge of your knowledge, you figure it out. If you've built and run a company before, this will feel familiar&ndash; the pace, the ambiguity, the ownership.<br>
<br>
The difference: you're joining a company with traction, paying customers, and a clear technical direction&ndash; and a hard, real problem worth owning.<br>
<br>
<ul><li><b>Full ownership </b>of modules customers actually pay for.</li><li><b> A team of genuine experts</b> across hardware, ML, AI, and agronomy to build with.</li><li><b>Berlin, hybrid</b>.</li><li>Benefits&ndash; equity / perks / visiting farms/ morning matchas/ strawberries, etc.</li></ul></div><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
We are building the company that is building the software and the hard for the future of commercial food production. We create a peace of mind for commercial food producers by interfacing their entire operations to our ML and AI services. If you live in Europe, very likely, you've had fresh, healthy and nutritious produce raised by hexafarms OS&ndash; you just don't know.<br>
<br>
hexafarms helps growers to get the most out of their production through yield forecasting, disease and pest detection, climate optimisation, and real-time plant analysis- all in one place. Day by day, we are bridging the gap between sensing, plant biology, and real-time market needs to ensure our customers focus on what is really important, and keep growing at their best.<br>
<br>
Check out what is like to work at hexafarms here.</p></div>

Product Engineer / Ex Technical Founder

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