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ai adoption engineer - m/f/d Jobs in Berlin

ai adoption engineer - m/f/d

ai engineer — genai & agentic solutions (m/w/d) amazon web services Jobs in Berlin

ai enablement engineer

Taktile

<div>
 
 About The Role
 
 
 
 Taktile empowers financial institutions to transform into truly AI-native organizations. We&rsquo;re growing rapidly with enterprise customers across banks and insurance companie.
 
 
 Internally, we believe the companies that win the next decade will be the ones that turn AI from a tool into a multiplier - embedded into how every team works, not just shipped as a product feature.
 
 
 We're looking for an AI Enablement Engineer to make this the reality at Taktile. This is a high-leverage, internal-facing engineering role: you won't be building features for our customers, you'll be building the tools, integrations, and workflows that make every Taktilian faster and better at their job - from engineers shipping code, to GTM teams responding to customers, to operations closing the books.
 
 
 You'll be the first hire dedicated to this mission, working closely with team leads across the company to identify, build, and scale the AI workflows with the biggest impact. Taktile is a hybrid company.
 
 
 This role requires working at least 3 days per week from one of our offices in Berlin, Iasi, or London.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Find the highest-leverage workflows. Embed with teams across Engineering, GTM, Customer Success, Finance, and Operations to identify where AI can remove the most friction.
 </li>
 <li>
 Build internal tools and agents end-to-end that wire Taktile's SaaS stack (HubSpot, Notion, Linear, Gong) into our engineers' and operators' daily workflows. Own scope, design, implementation, rollout, and iteration.
 </li>
 <li>
 Evolve AI architecture based on internal customer needs and tangible, measurable improvements.
 </li>
 <li>
 Drive adoption, not just deployment. Run hands-on workshops, pair sessions, and office hours to teach teams how to actually use what you ship. Measure success in real adoption and time saved, not features delivered.
 </li>
 <li>
 Partner with Security and IT on governance. Apply least-privilege principles from day one. Build the guardrails, access scoping, and audit trails that let us move fast on AI without exposing customer data or production systems.
 </li>
 <li>
 Stay on the frontier. Know when new tools and models release, which ones are worth experimenting with, and bring the best of it back into the business.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of professional software engineering experience, with a track record of shipping production systems end-to-end.
 </li>
 <li>
 Production-grade coding ability in Python in cloud-native environment.
 </li>
 <li>
 Hands-on experience building with modern LLM tooling - agent frameworks, tool use, prompt engineering, MCP, evals. You've shipped something real, not just experimented in a notebook.
 </li>
 <li>
 Strong SaaS API integration experience - REST, webhooks, OAuth, idempotency, the messy realities of stitching real systems together.
 </li>
 <li>
 Exceptional communication and stakeholder skills with technical and non-technical operators alike.
 </li>
 <li>
 A bias for adoption over abstraction. You measure your work by who's using it next week, not by how elegant the architecture is.
 </li>
 <li>
 Fluent English, both written and spoken.
 
 
 </li>
 </ul>
 
 Ideal, But Not Required
 
 
 
 <ul>
 <li>
 Prior experience in a technical enablement, internal tools, DX, or platform engineering role.
 </li>
 <li>
 Experience integrating unstructured data into AI workflows.
 </li>
 <li>
 Familiarity with AI governance and data classification in a regulated industry.
 </li>
 <li>
 You've run workshops or internal trainings and enjoy doing them.
 
 
 </li>
 </ul>
 
 Our Stack
 
 
 
 <ul>
 <li>
 AI: Claude
 </li>
 <li>
 Programming Language: Python
 </li>
 <li>
 Data Platform: AWS, Snowflake, dbt, Terraform
 </li>
 <li>
 Internal Tools: Notion, Linear, HubSpot, Gong, Ramp
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents.
 
 
 With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions&mdash;approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding.
 
 
 Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo.
 
 
 With offices in New York, Berlin, London, S&atilde;o Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com.
 
 
 
 
 About Your Employment
 
 . Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
 
 
 
 
 
 Your Privacy
 
 . Taktile (&ldquo;we&rdquo; or &ldquo;us&rdquo;) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
 
 
 
 
 
 How we use your data:
 
 We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
 
 
 
 
 
 Legal basis (EU/UK applicants):
 
 We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
 
 
 
 
 
 Retention:
 
 If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates&rsquo; data becomes part of their employment records.
 
 
 
 
 
 Your rights:
 
 Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
 
 
 
 
 
 Automated decision-making:
 
 We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
 
 
 
 
 
 International transfers:
 
 Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
 
 
 
 
 By submitting your application, you acknowledge that you have read and understood Taktile&rsquo;s Applicant Privacy Policy. To exercise your rights or ask questions, contact
 
 
 privacy@taktile.com
 
 
 .
 
 
 
</div>

AI Enablement Engineer

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 
 FinTech
 
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 
 better interest rates
 
 and banks a
 
 diversified form of refinancing
 
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 
 
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 
 more than one million investors
 
 which have accrued over 5 billion euros in returns.
 
 
 
 Team
 
 
 
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 
 
 The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.
 
 
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 
 
 
 Your Responsibilities
 
 
 
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 
 
 
 Enable teams to adopt AI effectively
 
 
 
 <ul>
 <li>
 Work with product and engineering teams to identify and refine AI use cases
 </li>
 <li>
 Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
 </li>
 <li>
 Promote consistent and reusable solutions to reduce fragmentation across teams
 
 
 </li>
 </ul>
 
 Contribute To Shared Capabilities Where Needed
 
 
 
 <ul>
 <li>
 Develop or extend shared components, integrations, or services when required to unblock teams
 </li>
 <li>
 Define and implement patterns for integrating LLM capabilities into the platform
 </li>
 <li>
 Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
 </li>
 <li>
 Manage AI costs and budget usage when providing shared model access and services to other teams.
 </li>
 <li>
 Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
 
 
 </li>
 </ul>
 
 Guide technical decisions
 
 
 
 <ul>
 <li>
 Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
 </li>
 <li>
 Help teams choose appropriate solutions based on context rather than applying AI by default
 </li>
 <li>
 Contribute to establishing a pragmatic and consistent approach to AI usage
 
 
 </li>
 </ul>
 
 Ensure robustness and responsible usage
 
 
 
 <ul>
 <li>
 Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
 </li>
 <li>
 Support the implementation of safeguards such as access controls, validation, and monitoring
 </li>
 <li>
 Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
 </li>
 <li>
 Contribute to practices that ensure solutions are reliable and aligned with internal standards
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 
 Background
 
 
 
 <ul>
 <li>
 Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
 </li>
 <li>
 Strong generalist mindset, comfortable working across technical domains
 </li>
 <li>
 Experience working on production systems and collaborating across teams
 </li>
 <li>
 Comfortable operating in environments with evolving scope and priorities
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
 </li>
 <li>
 Experience with cloud environments (AWS preferred)
 </li>
 <li>
 Solid understanding of APIs, system integration, and distributed systems
 
 
 </li>
 </ul>
 
 AI Experience
 
 
 
 <ul>
 <li>
 Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
 </li>
 <li>
 Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
 </li>
 <li>
 Ability to assess where AI adds value and where it does not
 
 
 </li>
 </ul>
 
 Join our mission, join our team &ndash; and grow with us!
 
 
 
 At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
 
 
 As part of our team, you will benefit from:
 
 
 <ul>
 <li>
 Employee Development Budget of &euro;2,000 and four full training days per year.
 </li>
 <li>
 Flexible working hours, home office and 30 vacation days.
 </li>
 <li>
 A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
 </li>
 <li>
 Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.
 </li>
 <li>
 Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.
 </li>
 <li>
 Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
 </li>
 <li>
 Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
 </li>
 <li>
 You are moving from another country or city to join us? We may support your relocation.
 
 
 </li>
 </ul>
 
 Raisin Applicant Privacy Policy
 
 
 
 We value diversity and the unique experiences each individual brings. If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply.
 
 
 We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
</div>

AI Engineer (m/f/d)

<div><div>Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.

Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.</div><h2 class="jobSectionHeader">
Team</h2>

The AI Enablement team supports the adoption of AI capabilities across Raisin's products and internal systems.

The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.

The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.<h2 class="jobSectionHeader"> 

Your Responsibilities</h2>

As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
<h4 class="jobSectionHeader">
Enable teams to adopt AI effectively</h4>
Work with product and engineering teams to identify and refine AI use cases 
<ul><li>
</li>
Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches 
<li>
</li>
<li>Promote consistent and reusable solutions to reduce fragmentation across teams</li>
</ul><h4 class="jobSectionHeader">Contribute to shared capabilities where needed</h4>
Develop or extend shared components, integrations, or services when required to unblock teams 
<ul><li>
</li>
Define and implement patterns for integrating LLM capabilities into the platform 
<li>
</li>
Contribute to shared components or lightweight services that simplify access to AI capabilities across teams 
<li>
</li>
Manage AI costs and budget usage when providing shared model access and services to other teams. 
<li>
</li>
<li>Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases</li>
</ul><h4 class="jobSectionHeader">Guide technical decisions</h4>
Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability 
<ul><li>
</li>
Help teams choose appropriate solutions based on context rather than applying AI by default 
<li>
</li>
<li>Contribute to establishing a pragmatic and consistent approach to AI usage</li>
</ul><h4 class="jobSectionHeader">Ensure robustness and responsible usage</h4>
Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization 
<ul><li>
</li>
Support the implementation of safeguards such as access controls, validation, and monitoring 
<li>
</li>
Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage 
<li>
</li>
<li>Contribute to practices that ensure solutions are reliable and aligned with internal standards</li></ul> 

<h2 class="jobSectionHeader">
Your Profile</h2>
<h4 class="jobSectionHeader">Background</h4>
Strong experience as a Software Engineer (5+ years), with focus on backend or platform development 
<ul><li>
</li>
Strong generalist mindset, comfortable working across technical domains 
<li>
</li>
Experience working on production systems and collaborating across teams 
<li>
</li>
<li>Comfortable operating in environments with evolving scope and priorities</li>
</ul><h4 class="jobSectionHeader">Technical Skills</h4>
Proficiency in at least one programming language (Python preferred; JVM languages also relevant) 
<ul><li>
</li>
Experience with cloud environments (AWS preferred) 
<li>
</li>
<li>Solid understanding of APIs, system integration, and distributed systems</li>
</ul><h4 class="jobSectionHeader">AI Experience</h4>
Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies) 
<ul><li>
</li>
Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows 
<li>
</li>
<li>Ability to assess where AI adds value and where it does not</li></ul> 


Join our mission, join our team &ndash; and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:
<ul>
<li>Employee Development Budget of &euro;2,000 and four full training days per year.</li>
<li>Flexible working hours, home office and 30 vacation days.</li>
<li>A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.</li>
<li>Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.</li>
<li>Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.</li>
<li>Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.</li>
<li>Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.</li>
<li>You are moving from another country or city to join us? We may support your relocation.</li>
</ul><div>
Raisin Applicant Privacy Policy

We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.

We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.</div></div>

Team Passerelle

<div>Wir sind das Team Passerelle, eine 2025 in Berlin gegr&uuml;ndete KI-Beratung aus dem gewerkschaftlichen Umfeld. Unser Name ist Programm: Passerelle bedeutet Br&uuml;cke. Wir sind angetreten, um inmitten der gr&ouml;&szlig;ten Transformation der Arbeitswelt genau diese Br&uuml;cke in die Zukunft zu bauen - eine Br&uuml;cke, die echten technologischen Fortschritt erm&ouml;glicht und gleichzeitig bessere Arbeitsbedingungen schafft. All das machen wir unter dem Leitsatz: Gute KI. Gute Arbeit.

Gegr&uuml;ndet von erfahrenen K&ouml;pfen aus der Tech- und Beratungswelt sowie der angewandten KI-Wissenschaft, verbinden wir strategischen C-Level-Weitblick mit tiefem technologischem Sachverstand. Wir begleiten Organisationen und Institutionen auf ihrem Weg in eine KI-gepr&auml;gte Zukunft, von der strategischen Beratung &uuml;ber die werteorientierte technische Implementierung bis zur nachhaltigen Adoption im Betrieb. Neben unseren Transformationsmandaten entwickeln wir au&szlig;erdem eigene Software-Produkte f&uuml;r digitale Souver&auml;nit&auml;t.
<h2 class="jobSectionHeader">
Aufgaben</h2>

Als Data &amp; AI Engineer schaffst du bei uns die zwingende technische Voraussetzung f&uuml;r jeden erfolgreichen KI-Einsatz: eine belastbare und strukturierte Datenbasis. Dein Schwerpunkt liegt darauf, historisch gewachsene, heterogene Datenlandschaften zu erschlie&szlig;en und f&uuml;r moderne KI-Anwendungen, insbesondere Retrieval-Systeme, nutzbar zu machen.

Als eine:r der ersten dedizierten Engineering-Hires gestaltest du den Aufbau unserer technischen Umsetzungskraft mit &ndash; eng an der Seite unseres AI Solutions Architect. Dein T&auml;tigkeitsfeld umfasst zwei Bereiche: In unseren Beratungsmandaten analysierst du die bestehende Datenarchitektur, deckst L&uuml;cken auf und legst das Fundament f&uuml;r die KI-Strategie. Parallel dazu entwickelst du die Daten- und Retrieval-Pipelines f&uuml;r unsere eigene KI-Infrastruktur und Software-Produkte.

** 
Deine Aufgaben**
<ul>
<li>Datenbestandsaufnahme &amp; Reifegrad: Du erstellst Datenlandkarten &uuml;ber heterogene Best&auml;nde hinweg und bewertest den Reifegrad des digitalen Fundaments. Deine L&uuml;ckenanalysen zu Identifikatoren und Metadaten zeigen pr&auml;zise, wo der Hebel liegt.</li>
<li>AI Data Ingestion (KI-Enablement): Du erschlie&szlig;t unstrukturierte Datenquellen (PDFs, Berichte, Publikationen) f&uuml;r die Nutzung in KI-Systemen &ndash; Text-Extraktion, Chunking-Strategien, Metadaten-Generierung, z. B. mit Werkzeugen wie LlamaParse oder Unstructuredio.</li>
<li>Datenfundament &amp; Retrieval: Du entwickelst Metadaten- und Identifikatorkonzepte, Datenmodelle und Embedding-Pipelines und baust die Retrieval-Grundlage f&uuml;r RAG-Anwendungen &ndash; inklusive Bef&uuml;llung und Betrieb von Vektordatenbanken (z. B. Qdrant, Weaviate, pgvector). Die Qualit&auml;t dieser Grundlage bewertest du systematisch.</li>
<li>Datenschutz &amp; Souver&auml;nit&auml;t: Du gehst verantwortungsvoll mit sensiblen Daten um und stimmst dich eng zu AI-Governance-, Datenschutz, EU AI Act und Souver&auml;nit&auml;tsanforderungen ab. Datensparsamkeit und Schutzw&uuml;rdigkeit denkst du von Anfang an mit.</li>
<li>Pipelines f&uuml;r interne Software-Entwicklung: Du baust und betreibst perspektivisch die Ingest- und Retrieval-Pipelines f&uuml;r eigene Software-Produkte &ndash; mit DataOps-Mindset (Versioning, Testing, Observability) und einem Verst&auml;ndnis agentischer Muster inkl. Human-in-the-loop.</li>
</ul><h2 class="jobSectionHeader">Qualifikation</h2>
<ul><li>Fundierte Data-Engineering-Erfahrung: Mehrj&auml;hrige (3+ Jahre) im Data Engineering oder als Data Platform Engineer &ndash; idealerweise in gewachsenen, heterogenen Datenlandschaften. Exzellentes Python und SQL sowie sicherer Umgang mit dem Modern Data Stack (z. B. dbt, Airflow, Dagster) und ETL-/ELT-Prozessen.</li>
<li>KI-Enablement: Praktische Erfahrung mit Embedding-Pipelines und Vektordatenbanken (z. B. Qdrant, Weaviate, Milvus, pgvector), ein Gesp&uuml;r f&uuml;r Retrieval-Strategien und Erfahrung mit der Erschlie&szlig;ung unstrukturierter Daten (z. B. LlamaParse, Unstructuredio).</li>
<li>Datenschutz-Bewusstsein: Erfahrung im verantwortungsvollen Umgang mit sensiblen und personenbezogenen Daten sowie Kenntnis der einschl&auml;gigen Anforderungen (insb. DSGVO, EU-AI-Act-Awareness).</li>
<li>Pragmatismus bei realer Datenlage: Du f&uuml;hlst dich in unvollst&auml;ndigen, gewachsenen Datenbest&auml;nden wohl und wei&szlig;t, dass ein nutzbares Datenmodell mehr wert ist als ein perfektes. Du priorisierst, wo es z&auml;hlt.</li>
<li>Kommunikationsst&auml;rke &amp; Haltung: Du &uuml;bersetzt die Datenrealit&auml;t verst&auml;ndlich f&uuml;r nicht-technische Stakeholder und kommunizierst auf Augenh&ouml;he mit Fachbereichen. Dein Deutsch und Englisch ist verhandlungssicher. Du steuerst dich selbst, denkst l&ouml;sungsorientiert und teilst unsere Werte rund um eine gerechte Arbeitswelt von morgen.</li>
</ul>
Sch&ouml;n, wenn du zus&auml;tzlich mitbringst: Erfahrung mit Knowledge Graphs, Semantic Layer oder Text-to-SQL; ausgepr&auml;gtes DataOps-Mindset; Lust an PoCs mitzubauen
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>Echter Impact &amp; Haltung: Ein Arbeitsumfeld, das technologische Innovation mit gesellschaftlicher Verantwortung und nachhaltigen Werten verbindet. Du gestaltest die KI-Transformation an vorderster Front nach europ&auml;ischen, demokratischen Werten.</li>
<li>Sichtbarkeit &amp; Netzwerk: Einblicke in hochkar&auml;tige Mandate aus Politik, Wirtschaft und Gewerkschaften</li>
<li>Hohe Autonomie: Flache Strukturen, die bewusste Abwesenheit von Mikromanagement und echte Verantwortung f&uuml;r deine Accounts und Themen</li>
<li>Flexibles Set-up: Remote-first mit einem Kernteam in Berlin sowie flexiblen Arbeitszeiten, die zu deinem Leben passen.</li>
<li>Standards: 30 Tage Urlaub, ein eigenes Weiterbildungsbudget und modernste Arbeitsausstattung</li>
<li>Faire Verg&uuml;tung: Ein transparentes Gehaltsband von 80.000 bis 95.000 &euro; brutto p.a. auf Basis einer 40h Woche (je nach Erfahrung)</li>
</ul>
<ul><li>Langfristige Perspektive: Die Stelle ist aufgrund unserer agilen Startup-Phase zun&auml;chst auf ein Jahr befristet. Da wir uns im nachhaltigen Aufbau befinden, ist eine langfristige Zusammenarbeit unser klares Ziel. Eine Verl&auml;ngerung oder Entfristung wird bei entsprechender Mandats- und Gesch&auml;ftsentwicklung ausdr&uuml;cklich angestrebt.</li></ul>

Der Kern unserer Arbeit ist die sozialpartnerschaftliche Gestaltung der KI-Transformation - von der fairen Verteilung von Produktivit&auml;tsgewinnen &uuml;ber die digitale Souver&auml;nit&auml;t bis hin zur Frage, wie wir eine gerechte Arbeitswelt von morgen bauen. Wir brennen f&uuml;r diese Themen und wollen diese Br&uuml;cke in die Zukunft nicht nur theoretisch durchdenken, sondern ganz praktisch bauen.

Daf&uuml;r suchen wir kluge K&ouml;pfe mit Haltung und Can-Do-Attitude, die um die Ecke denken und keine Angst haben, Annahmen zu hinterfragen. Bewirb dich ausdr&uuml;cklich auch dann, wenn dein Lebenslauf nicht perfekt auf die Beschreibung passt - f&uuml;r uns z&auml;hlen deine Perspektive und dein innerer Antrieb weit mehr als ein l&uuml;ckenloses Profil. Wenn du Lust hast, ein junges Unternehmen mitzupr&auml;gen und der Zukunft der Arbeit deinen Stempel aufzudr&uuml;cken: Join us!</div>

Data & AI Engineer (m/w/d)

Telli

<div><h1 class="jobSectionHeader">about us</h1> 
Every 10 minutes, 18 million conversations happen between businesses and consumers around the world. 
For decades, the consumer side of those conversations sucked: long queues, robotic menus, repeated explanations, and advice that is often unhelpful. Most people today still cannot simply say what their problem is in natural language when communicating with businesses. 
AI changes that. For the first time, companies can have natural conversations with customers at massive scale. Every B2C company - from energy providers to telcos to insurers - will use AI agents to talk to their customers. The number of conversations businesses will handle is going to explode in the coming years. 
At telli, we are solving the challenges that come with that shift. Today, leading B2C companies like Sky are already using telli to deploy thousands of voice agents to provide their customers with a new experience. But building a first voice agent is easy, getting it to drive real outcomes for customers and businesses is the hard part. telli helps companies build, deploy, and improve consumer-facing AI voice agents at scale. This will become one of the most important software categories of the next decade, and we intend to win it. 
We are a small, AI-pilled team that likes to solve hard problems. Be it engineering, product, or GTM - we build, experiment, and move fast, while heavily leveraging the capabilities of AI models. All of us like to challenge ourselves and take real ownership over what we do, all while still staying humble and keeping a low-ego culture. 
Check out our principles to see how we work.<h2 class="jobSectionHeader"> 
Your mission</h2>
As the Founding GTM Engineer you build the foundation to scale telli's go-to-market. You shape the telli playbook and turn it into a scalable, automated system. As the GTM counterpart to the founding team and GTM lead, you power the sales function to help telli grow.<h2 class="jobSectionHeader">
what you'll do</h2><ul><li>
Build our GTM system: you build and scale the infrastructure our sales team needs to achieve their targets by building a signal &amp; prospecting infrastructure that the sales team can convert into opportunites</li><li>
Automate processes: you build scalable, automated processes for our go-to-market motion</li><li>
Sales enablement: you own what we show customers. Demos, sales decks, materials, and assets stay sharp and up to date because of you</li><li>
Own the CRM: you make sure our data is clean, structured, and reliable. The team trusts the numbers because you keep them honest</li><li>
Track performance and build dashboards: you work with the founding team and GTM lead to track the right metrics and make sure we are hitting our targets</li><li>
Shape the playbook: you shape telli&rsquo;s gtm playbook learning from customer interactions and data</li></ul><h2 class="jobSectionHeader">
what makes you a great fit</h2><ul><li>
1+ years of experience in Revenue Operations, Sales Automation, or Go-to-Market Engineering</li><li>
You're analytical: you think in systems and numbers, you approach problems based on facts and data</li><li>
You're automation-first: you have demonstrated success using AI tools (e.g. Claude Code, Clay, n8n) to enhance processes</li><li>
You understand products fast:** you pick up technical concepts fast and know how to use the product to make customers successful</li><li>
You are passionate about gtm tech: you live and breathe the GTM space and stay on top of the latest tools, systems, and influencers</li><li>
You have business sense: you understand how sales works and build systems that move deals forward, not just clean tooling</li><li>
You're hands-on and technical: you're comfortable with tools like CRMs (Hubspot expert) and other automation or gtm tools</li><li>
You have high agency: you don't get blocked by outside factors but find ways to unblock yourself and ship</li><li>
You speak business-level German and English</li><li>
You want to work on-site 5 days a week in Berlin</li></ul><h2 class="jobSectionHeader">
you may not be a good fit if&hellip;</h2><ul><li>
You wait for detailed briefs and shy away from owning a function end-to-end</li><li>
You like building systems in theory but don't understand how sales actually works</li><li>
You automate for the sake of it instead of fixing the underlying process first</li><li>
You only want the &quot;strategic&quot; parts and skip manual work</li><li>
You want to work remotely. We're an in-person team</li><li>
You think this role looks like a 9-to-5 job</li></ul>
Compensation Range: &euro;75K - &euro;95K</div>

GTM Engineer

Enpal

<div>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. 
About the role
A cross-team function that owns how analytics and BI work is done: the practice, quality, and enablement layer that sits across domain teams. Teams continue to own execution and delivery. This role owns the standards, governance, and community support that make that execution consistent and scalable.
This is a player-coach role: it leads the Analytics Excellence Guild and the broader analytics community without formal direct reports. 
What you'll do 
 
BI Practice &amp; Standards<ul><li>
Design and continuously improve the governance model for BI infrastructure (Power BI, Tableau, AI agents), set best practice for contribution and reporting: dashboard style guide, standard templates, quality expectations, delivery recommendations, documentation rules.</li><li>
Drive adoption of these standards across Data &amp; BI and the broader analytics community.</li></ul>
Enablement &amp; Certification<ul><li>
Design and continuously improve the education and certification programme for data users (training materials, documented process).</li><li>
Establish and facilitate formats for community engagement (office hours, meetups, workshops) and provide structured mentorship to analytics engineers, analysts and advanced business users.</li><li>
Continuously improve practice for community management, e.g. automation for data product promotion, feedback collection, community engagement metrics, user activity driven.</li></ul>
Technical Leadership<ul><li>
Review critical designs, Tier-1 data products, and high-usage dashboards and AI agents; advise or execute improvements.</li><li>
Tackle highly complex, cross-team analytics engineering challenges directly. Develop cross-domain reusable data products: dashboards, marts and pipelines serving multiple teams/departments.</li><li>
Surface systemic problems in data quality, tooling, and developer experience and drive their resolution. Seek innovation and continuous improvement of practice.</li></ul>
Scope of Influence<ul><li>
Reviewing Tier-1 assets; advising on quality and design</li><li>
Setting the governance model and enforcement standards within data consumption layer (BI tools, AI agents)</li><li>
Providing community management frameworks and tooling</li><li>
Designing the educational programme, materials, and process for data literacy ramp up</li><li>
Facilitating the Analytics Excellence Guild and community forum</li></ul> 
What you'll bring 
Community &amp; Enablement Leadership (core to this role)<ul><li>
Demonstrated success building and sustaining a technical community, guild, or practice, running formats like office hours, workshops, or mentorship that people actually engage with.</li><li>
Experience designing enablement or certification programmes: training materials, documented processes, and a credible path for ramping up data literacy across varied skill levels.</li><li>
A facilitator's instinct: able to drive adoption, build consensus, and mentor across teams through influence rather than authority.</li><li>
Strong written and verbal communication; able to produce guidance and training material that lands with both engineers and business users.</li></ul>
BI Governance &amp; Standards<ul><li>
Deep, hands-on expertise with at least one major BI platform (Power BI and/or Tableau), including what separates a well-built, maintainable dashboard from a fragile one.</li><li>
Proven ability to translate good practice into durable, adoptable standards: style guides, templates, quality criteria, documentation rules.</li><li>
Comfort defining governance and guardrails that scale across teams without becoming bottlenecks.</li><li>
Familiarity with emerging AI/agent-based analytics tooling and a pragmatic view of how to govern it.</li></ul>
Technical Depth<ul><li>
7&ndash;10 years in analytics engineering, BI, or data roles, with a track record as a strong generalist across the modern data stack.</li><li>
Hands-on capability with dbt and a cloud data warehouse (Snowflake preferred), sufficient to build cross-domain reusable data products and review Tier-1 work credibly.</li><li>
Ability to diagnose systemic issues in data quality, tooling, and developer experience and drive them to resolution.</li></ul>
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
What we offer<ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</li><li>
Grown-up business &amp; startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</li></ul>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</div>

Analytics Excellence Manager (f/m/x)

GotPhoto

<div><h2 class="jobSectionHeader">About us</h2>
At GotPhoto, we are freeing photographers to be more successful.
Through our platforms GotPhoto.com and fotograf.de, we help professional photographers simplify and transform the way they work &mdash; from photo management and client communication to ordering and payment processing. Our end-to-end workflow and e-commerce solution gives photographers more time to focus on what matters most: being behind the lens.
Since 2012, we&rsquo;ve built a sustainable and profitable business driven by entrepreneurial spirit, innovation, and a deep understanding of photographers&rsquo; everyday challenges. Today, thousands of photographers trust our software , creating their own success stories along the way.
As the leading e-commerce engine for professional volume photographers and a business backed by EQT, one of the world&rsquo;s leading private equity firms, we&rsquo;re powered by a team of 150+ talented and international people building technology that simplifies photographers&rsquo; everyday work and helps them focus on capturing meaningful moments.
Join us on our journey to empower photographers like never before.<h1 class="jobSectionHeader">
Your role</h1>
Do you want to build the platform that helps engineering teams move faster, ship safer, and scale smarter?
You'll work at the intersection of Platform Engineering, SRE, Developer Experience, and AI Enablement&mdash;building the infrastructure, tooling, and guardrails that power a global SaaS platform.<h2 class="jobSectionHeader">
What You'll Do</h2><h3 class="jobSectionHeader">
Build and Evolve Our Platform</h3><ul><li>
Design, build, and operate the cloud-native platform that supports our engineering organization.</li><li>
Create reusable platform services, self-service capabilities, and infrastructure standards that help product teams deliver software faster and more reliably.</li></ul><h3 class="jobSectionHeader">
Elevate Developer Experience</h3><ul><li>
Reduce friction across the software development lifecycle.</li><li>
Build and improve CI/CD pipelines, internal tooling, automation, and developer workflows that increase productivity and accelerate delivery.</li><li>
Partner with engineering teams to continuously improve the developer experience.</li></ul><h3 class="jobSectionHeader">
Drive Reliability &amp; Observability</h3><ul><li>
Improve the reliability and performance of our systems.</li><li>
Define and maintain SLAs, SLOs, and observability standards using metrics, logs, tracing, and monitoring.</li><li>
Support incident response, root-cause analysis, and continuous platform improvements.</li></ul><h3 class="jobSectionHeader">
Enable AI-Native Engineering</h3><ul><li>
Help shape the next generation of developer platforms.</li><li>
Build infrastructure and workflows that support:<ul><li>
AI coding assistants such as GitHub Copilot, Cursor, and future AI development tools</li><li>
Agentic AI infrastructure including MCP servers, tool-calling backends, and secure execution environments</li><li>
AI workload observability including LLM tracing, latency, usage, and cost monitoring</li><li>
Safe AI deployment workflows with model versioning, experimentation, rollbacks, and policy-driven guardrails</li></ul></li></ul><h3 class="jobSectionHeader">
Champion Security &amp; Platform Excellence</h3><ul><li>
Embed security, compliance, and Infrastructure-as-Code best practices into engineering workflows.</li><li>
Design scalable AWS architectures and automation that keep our platform secure, reliable, and ready for growth.</li></ul><h3 class="jobSectionHeader">
Lead Through Influence</h3><ul><li>
Share knowledge, mentor engineers, and drive cross-functional platform initiatives.</li><li>
Help establish engineering best practices and foster a culture of continuous improvement.</li></ul><h1 class="jobSectionHeader">
What You Bring</h1><h3 class="jobSectionHeader">
Experience</h3><ul><li>
5+ years in Platform Engineering, SRE, Developer Experience, or a similar field</li><li>
Experience building and operating production systems in AWS</li><li>
Strong Infrastructure-as-Code and automation background</li></ul><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
Cloud &amp; Platform Technologies: You are experienced with AWS, Kubernetes, Terraform, Helm, and modern cloud-native infrastructure patterns.</li><li>
Observability &amp; Reliability: You know how to design systems that are observable, measurable, and resilient using tools such as OpenTelemetry, Prometheus, and Grafana.</li><li>
Architecture &amp; Systems Thinking: You understand distributed systems, event-driven architectures, authentication and authorization models, infrastructure automation, and modern deployment strategies.</li><li>
Developer Enablement: You enjoy building tools and platforms that help other engineers be more productive.</li></ul><h1 class="jobSectionHeader">
What Makes You Successful</h1><ul><li>
Platform-as-a-Product Mindset: You think of internal platforms as products and care deeply about the developer experience.</li><li>
Incremental Builder: You prefer iterative improvements, automation, and sustainable scaling over big-bang solutions.</li><li>
Collaborative Partner: You enjoy working across teams, building alignment, and enabling others to succeed.</li><li>
Humble Expert: You bring expertise, curiosity, and a willingness to learn from others.</li></ul><h1 class="jobSectionHeader">
Bonus Points</h1><ul><li>
Experience building Internal Developer Platforms (IDPs)</li><li>
Experience with AI-assisted software development</li><li>
Experience with MCP (Model Context Protocol)</li><li>
Experience supporting AI/ML workloads in production</li><li>
Experience in high-growth SaaS environments</li></ul><h2 class="jobSectionHeader">
Why You&rsquo;ll Love Life at GotPhoto</h2><ul><li>
Best of Both Worlds: We live and breathe a flexible hybrid model. Our beautiful office at Hausvogteiplatz is our vibrant Berlin hub for collaboration, but you have the freedom to leverage the setup that works best for you.</li><li>
Work from (Almost) Anywhere: We believe in flexibility that respects your lifestyle. Once you have completed your probation, you have the option to work remotely from within Europe for up to 40 days per year. Whether you are visiting family or simply seeking a change of scenery, we support a work-from-anywhere culture that helps you stay inspired.</li><li>
Recharge &amp; Unwind: We value your downtime. You start with 26 days of leave, plus we love to top that up with additional discretionary &quot;X-days&quot; to make sure you&rsquo;re truly rested.</li><li>
Multicultural &amp; Inclusive Team: We thrive on diverse perspectives. Our international team fosters a culture of mutual respect and professional exchange, ensuring that fresh ideas and tolerance are at the heart of everything we build together.</li><li>
Fuel Your Growth: We&rsquo;re big on learning. You&rsquo;ll get a dedicated education budget to explore new ideas and grow professionally.</li><li>
Exclusive Employee Discounts: Get more for your money with access to the &quot;Benefits at Work&quot; platform, offering significant discounts on top global brands.</li><li>
Your Benefits, Your Choice: Through Probonio, you get a monthly budget to spend on what matters to you&mdash;whether that&rsquo;s your public transport pass or other flexible perks that fit your lifestyle.</li></ul><h2 class="jobSectionHeader">
What Matters to Us</h2>
Research shows that candidates from underrepresented backgrounds may refrain from applying for positions if they feel they don't meet all qualifications. We strongly encourage you to apply if you&rsquo;re interested: we're excited to discover how your distinctive experience can enhance our team! 
 
We work as one team. Wherever you come from. However, you identify. We believe in equal opportunities.</div>

Senior Platform Engineer (AWS) (all genders)

Explore 280+ Ai enablement engineer in Berlin this July. Find roles across top companies and apply now to boost your career.

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Analytics Excellence Manager (f/m/x)

Senior Platform Engineer (AWS) (all genders)