engineering manager

Peter Park System GmbH

<div><div>M&uuml;nchen</div><div>
Full-time</div><div>
Permanent employee</div></div>
<br><div><div><div><h2 class="jobSectionHeader"><b>Introduction:</b></h2><div><div>
We are looking for an empathetic, strategic, and technically grounded Team Lead Tech (m/f/d) to act as a hybrid &quot;Player-Coach&quot; for our squad. Simply put: You are the highest technical authority in your team. You set and defend the architectural direction while staying hands-on enough to maintain deep technical credibility and serve as a stabilizing anchor (&quot;The Lighthouse&quot;) for your team.</div></div></div><div><h2 class="jobSectionHeader"><b>
Your Objectives &amp; Role:</b></h2><div><ul><li><b>
Orchestrate Architecture:</b> Lead high-level architectural discussions and guide your squad through complex trade-offs. Defend the scalability, quality, and stability of our event-driven cloud infrastructure.</li><li><b>
Lead by Example:</b> Stay close to the metal. Actively contribute production-grade code, tackle core features, and conduct peer Merge Request reviews to elevate engineering standards.</li><li><b>
Empower High-Performing Teams:</b> Cultivate talent with deep empathy. You will develop and mentor engineers, fostering an environment of continuous feedback, psychological safety, and growth. By shielding your team from operational noise, you enable deep focus while consistently raising the bar for excellence across the department.</li><li><b>
Bridge Strategy &amp; Execution:</b> Translate high-level business goals into actionable technical objectives. Partner with Product Managers to balance feature delivery with technical debt reduction.</li><li><b>
Instill Ownership:</b> Drive an entrepreneurial spirit within your squad. Help engineers understand the &quot;why&quot; behind every line of architecture and keep customer impact at the center of their work.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Your Expertise, Skills &amp; Mindset:</b></h2><div><ul><li><b>
Real Seniority:</b> We value direct business impact and a drive for continuous improvement over a flat number of years. We welcome established Engineering Managers or Senior/Staff Engineers ready to step into leadership. Disciplinary experience is a plus, not a must.</li><li><b>
Production Track Record:</b> You have designed, owned, and scaled distributed, event-driven systems at a meaningful scale (ideally within a fast-paced SaaS or IoT scale-up environment). You confidently defend architectural trade-offs (consistency, throughput, cost).</li><li><b>
Technical Fluency:</b> You are fluent in our primary backend stack (Node.js/TypeScript) or our IoT environment (C++, Python) and understand cloud architectures (AWS). You possess the technical depth to review a senior's MR, constructively challenge their logic, and help them improve.</li><li><b>
Agile Native:</b> You have deep proficiency with project management tools (Linear, Jira) and agile methodologies. You know how to use data to improve team velocity and release frequency.</li><li><b>
People-First Mentality:</b> You possess high emotional intelligence (EQ). You are proactive, empathetic, and capable of motivating a diverse team. You hold yourself and others accountable with kindness and clarity.</li><li><b>
Operational Rigor:</b> You are structured and conscientious. You can manage complex stakeholders and communicate effectively with both engineers and C-level executives.</li><li><b>
Communication:</b> Excellent English communication skills (C1+) are mandatory. German proficiency is a strong plus.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Technologies We Work With:</b></h2><div><div>
We embrace modern, cutting-edge technologies to build robust and scalable solutions.<br>
</div><ul><li><b>
Backend:</b> Event-driven microservices in NodeJS (NestJS).</li><li><b>
Frontend:</b> Monorepo powered by Turbo, pnpm, changesets, and Storybook, primarily using Vue.js.</li><li><b>
IoT Stack:</b> Embedded and edge solutions in C++ and Python.</li><li><b>
Frameworks/Libraries:</b> Adoption of TypeScript, NestJS, BullMQ, and Prisma for backends in an opinionated monorepo approach.</li><li><b>
Databases:</b> Amazon RDS, DynamoDB, S3.</li><li><b>
Orchestration &amp; CI/CD:</b> We manage our container orchestration with Kubernetes (EKS), using Keda and Karpenter for dynamic autoscaling. Our CI/CD is powered by GitLab.</li><li><b>
Infrastructure as Code:</b> Terraform for AWS provisioning.</li><li><b>
Serverless:</b> Leveraging AWS Lambda and the Serverless framework for high-throughput endpoints.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Work Setup:</b></h2><div><ul><li><b>
Hours</b>: 40 hours per week (based on trust).</li><li><b>
Home Office Policy:</b> Enjoy a hybrid model with 3 days in the office / 2 days remote.</li><li><b>
Contract</b>: A permanent contract for long-term stability</li><li><b>
Location</b>: Our modern office in Munich, a vibrant city in the heart of Bavaria.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
What We Offer:</b></h2><div><ul><li><b>
Impact:</b> direct influence on a product used by millions of drivers and major facility owners across Europe.</li><li><b>
Growth:</b> A clear management track or expert track career path. We invest in your development as a leader.</li><li><b>
Culture:</b> A team that values &quot;Delight,&quot; ownership, and moving fast.</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Our Recruiting Process:</b></h2><div></div><div><ul><li><b><br>
Initial Contact:</b> We&rsquo;ll get back to you within 48 hours.</li><li><b>
HR Interview:</b> Discuss your experience and expectations with our HR team.</li><li><b>
Live Assessment:</b> Showcase your adaptability by solving a practical problem in an unfamiliar context</li><li><b>
Tech Challenge:</b> A collaborative deep-dive into system architecture, cloud scalability, and handling technical trade-offs.</li><li><b>
Leadership Conversation:</b> A deep dive into the role and expectations with a member of our technical leadership.</li><li><b>
On-Site Meeting:</b> Visit our Munich office, meet more of the team, and experience our culture firsthand!</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
What are the benefits of working at Peter Park?</b></h2><div><div>
We believe in supporting our team with an environment that fosters growth, well-being, and a great work-life balance.<br>
</div><ul><li><b>
Your perks:</b> company pension plan, corporate benefits, and JobRad bike leasing, plus, you can choose between a subsidized Deutschlandticket or an EGYM Wellpass membership.</li><li><b>
Your flexibility:</b> flexible working hours and the option to work remotely from within the EU.</li><li><b>
Your setup:</b> an onboarding experience that gets you up to speed right away, height-adjustable desks, and modern Apple equipment (MacBook (M4 Pro, 48GB Ram) and a 37-inch curved screen) for the perfect start from day one. Plus access to all major frontier AI models, MCP servers, and the agentic tooling you need to do your best work.</li><li><b>
Your well-being:</b> a healthy energy boost with free snacks (fruit, nuts, muesli), subsidized office catering, and a weekly team lunch.</li><li><b>
Your fit:</b> a lived start-up mentality in a financially secure and stable environment.</li></ul><div><b>
Ready to build the future with us?</b><br>
Apply today and let&rsquo;s make something great together.</div></div></div></div>
<p></p><div><h2 class="jobSectionHeader"><b>&Uuml;ber uns</b></h2><div><div>
Peter Park hilft seinen Kund:innen dabei, die Gestaltung von Parkr&auml;umen einfach und digital abzubilden. Wir ersetzen Schranken, Papiertickets und Parkscheiben durch barrierefreies Parken mit mobilen Bezahlm&ouml;glichkeiten. Peter Park revolutioniert die t&auml;glichen Parkerfahrungen mit neuen digitalen Technologien und erleichtert dadurch den Alltag von jedem Autofahrer. Dar&uuml;ber hinaus optimieren wir die Nutzung von innerst&auml;dtischen Strukturen und r&auml;umen auf mit Autos am Stra&szlig;enrand &ndash; f&uuml;r einen lebenswerten und nachhaltigen Lebensraum. Im engen Austausch mit unserem B2B Kundenstamm und Unternehmenspartnern stellen wir uns der Herausforderung, unsere SaaS L&ouml;sung st&auml;ndig zu verbessern und zu erweitern.</div></div></div></div>

Team Lead Tech (m/f/d)

H&Z Unternehmensberatung AG

<div><div>M&uuml;nchen</div><div>
Vollzeit</div><div>
Festanstellung</div></div>
<br><div><div><div><h2 class="jobSectionHeader"><b>Position</b></h2><div><div>
Du m&ouml;chtest KI-L&ouml;sungen nicht nur entwickeln, sondern deren strategische Ausrichtung, technische Exzellenz und nachhaltigen Erfolg beim Kunden verantworten?<br>
Du denkst AI-Produkte ganzheitlich, von der Gesch&auml;ftsanforderung &uuml;ber Architektur und Delivery bis hin zu Betrieb, Skalierung und kontinuierlicher Optimierung?<br>
Du m&ouml;chtest technische Teams f&uuml;hren, Standards etablieren und innovative AI-L&ouml;sungen f&uuml;r nationale und internationale Kunden gestalten?</div><br>
Dann haben wir die richtige Stelle f&uuml;r dich:<br>
<h1 class="jobSectionHeader"><b>
Team Lead AI Engineering (w/m/d)</b><br>
</h1></div></div><div><h2 class="jobSectionHeader"><b>
Was gibt es zu tun?</b></h2><div><ul><li>
Du f&uuml;hrst ein interdisziplin&auml;res AI-Engineering-Team fachlich und technisch und entwickelst dessen Kompetenzen kontinuierlich weiter</li><li>
Au&szlig;erdem &uuml;bernimmst du die End-to-End-Verantwortung f&uuml;r komplexe AI-L&ouml;sungen, von Discovery, Solution Design und Architektur bis zum produktiven Betrieb und der kontinuierlichen Weiterentwicklung</li><li>
Teil deiner Aufgabe ist es, gesch&auml;ftliche Anforderungen in skalierbare, sichere und robuste AI-Systemarchitekturen zu &uuml;bersetzen und gemeinsam mit Kunden und internen Stakeholdern technische Roadmaps zu definieren</li><li>
Teil deiner Verantwortung sind Architekturentscheidungen rund um LLM-basierte Systeme, agentische Workflows, RAG-Architekturen, Tool Integration, Orchestrierung und Evaluierungsframeworks</li><li>
Du etablierst Best Practices, Standards und wiederverwendbare Patterns f&uuml;r AI- und LLM-L&ouml;sungen, von Prompt Engineering &uuml;ber Context Engineering bis hin zu Governance und Quality Assurance</li><li>
In deiner Rolle treibst du den Aufbau und die Weiterentwicklung von LLMOps- und MLOps-Strukturen voran, inklusive CI/CD, automatisierter Evaluierung, Monitoring, Versionierung und kontinuierlicher Optimierung</li><li>
Du steuerst technische Discovery-Phasen, f&uuml;hrst Machbarkeitsanalysen durch und bewertest technologische Risiken, Kosten und Skalierungsoptionen</li><li>
Ein wichtiger Teil deiner T&auml;tigkeit ist es sicherzustellen, dass AI-L&ouml;sungen h&ouml;chsten Anforderungen an Performance, Security, Compliance, Datenschutz und Responsible AI gerecht werden</li><li>
Du integrierst AI-Komponenten in komplexe Enterprise-Systemlandschaften und entwickelst nachhaltige Integrationsstrategien &uuml;ber APIs, Microservices und eventgetriebene Architekturen</li><li>
Als Team Lead AI Engineering agierst du als technischer Trusted Advisor f&uuml;r Kunden, moderierst Architektur-Workshops und unterst&uuml;tzt bei strategischen Technologieentscheidungen</li><li>
Du coachst und mentorierst Engineers, f&ouml;rderst technische Exzellenz im Team und etablierst eine starke Engineering-Kultur</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Was bringst du mit?</b></h2><div><ul><li>
Ein abgeschlossenes Studium der Informatik, Informationstechnologie oder eine vergleichbare Qualifikation mit fundierter praktischer Erfahrung</li><li>
Mehrj&auml;hrige Erfahrung im Software Engineering mit Schwerpunkt auf Backend-, Distributed Systems- oder Cloud-native Architectures</li><li>
Umfangreiche Erfahrung in der Konzeption und produktiven Umsetzung komplexer AI- und Generative-AI-L&ouml;sungen auf Enterprise-Niveau</li><li>
Tiefgehendes Verst&auml;ndnis moderner LLM-Architekturen und AI-Applikationsmuster wie RAG, Multi-Agent Systems, Embeddings, Vector Databases, Tool Calling, Guardrails und Evaluation Pipelines</li><li>
Fundierte Erfahrung mit relevanten Frameworks und Stacks wie LangChain, LlamaIndex, Semantic Kernel oder vergleichbaren Technologien</li><li>
Erfahrung im Aufbau produktionsreifer AI-Plattformen inklusive Monitoring, Observability, Cost Optimization und Governance</li><li>
Sehr gute Kenntnisse in mindestens einer modernen Programmiersprache, zum Beispiel Python, TypeScript, C# oder Java, sowie ein starkes Architekturverst&auml;ndnis</li><li>
Erfahrung mit Cloud-Plattformen wie Microsoft Azure, Amazon Web Services AWS oder Google GCP; idealerweise mit Fokus auf AI-native Services</li><li>
Sehr gutes Verst&auml;ndnis von DevOps-Prinzipien, Infrastructure as Code, CI/CD, Containerisierung und Security-by-Design</li><li>
Erfahrung in technischer F&uuml;hrung, Teamsteuerung, Mentoring oder Architekturverantwortung</li><li>
Hohe Beratungs- und Kommunikationsst&auml;rke sowie die F&auml;higkeit, komplexe technische Zusammenh&auml;nge adressatengerecht zu vermitteln</li><li>
Verhandlungssichere Englischkenntnisse; Deutschkenntnisse sind von Vorteil</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Was bieten wir dir?</b></h2><div><ul><li>
Strategisch relevante Projekte mit hoher technologischer Komplexit&auml;t und direktem Business Impact</li><li>
Viel Gestaltungsspielraum und echte Verantwortung</li><li>
Fachliche und pers&ouml;nliche Weiterentwicklung auf Senior- und Leadership-Level</li><li>
Mentoren-Programm</li><li>
Famili&auml;res und freundschaftliches Arbeitsklima</li><li>
Mitarbeiterevents und Firmenretreats</li><li>
Mobilit&auml;tsangebote</li><li>
Tolles zentrales Office in M&uuml;nchen</li><li>
Getr&auml;nke, Obst &amp; Joghurts im Office</li><li>
Firmenlaptop &amp; Firmenhandy</li><li>
Sportangebote</li></ul></div></div></div>
<p></p><div><h2 class="jobSectionHeader"><b>&Uuml;ber uns</b></h2><div><b>
&Uuml;ber H&amp;Z</b><br>
H&amp;Z ist eine f&uuml;hrende europ&auml;ische Managementberatung mit klarem Fokus auf messbare Wirkung. Als Partner unterst&uuml;tzt H&amp;Z mittelst&auml;ndische Unternehmen und Konzerne dabei, ihre Wettbewerbsf&auml;higkeit nachhaltig zu st&auml;rken und verbindet dabei Klarheit, Verantwortung und pragmatische Umsetzung.<br>
Mit Expertise in Procurement, Performance, digitaler Transformation und Restrukturierung &uuml;bersetzt H&amp;Z strategische Ziele in konkrete Ergebnisse entlang der gesamten Wertsch&ouml;pfungskette. Von der Strategie bis zur Umsetzung stellt H&amp;Z sicher, dass Wirkung nicht nur entsteht, sondern langfristig verankert wird.<br>
<b>From Ambition to Impact.</b><br>
So entsteht aus Ambition messbare Wirkung und aus Wirkung nachhaltige Wettbewerbsst&auml;rke.</div></div></div>

Team Lead AI Engineering (w/m/d)

CLERA

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
This is a founding-level product role at a seed-stage B2B SaaS company building AI-powered tools that help sales teams work smarter &mdash; automating note-taking, CRM updates, meeting preparation, and conversation intelligence, all in a GDPR-compliant, privacy-first way. The product spans Web, Desktop, and Mobile.</p><p>
As the <b>Founding Product Manager</b>, you'll partner directly with the CTPO and leadership team to shape product vision and build a scalable, high-quality product organization from the ground up. This is a high-ownership, high-impact role that blends strategic thinking with hands-on execution.</p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p><b>
Shape Product Vision &amp; Strategy:</b> Co-own the product roadmap and long-term vision alongside the CTPO, ensuring alignment across engineering, design, and executive stakeholders.</p></li><li><p><b>
Own Product Discovery &amp; Delivery:</b> Drive the full product lifecycle end-to-end &mdash; from user research and ideation through delivery, launch, and iteration.</p></li><li><p><b>
Build AI-First &amp; Agentic Experiences:</b> Lead the design and delivery of AI-powered and agentic product features that create real, measurable value for users.</p></li><li><p><b>
Drive Cross-Platform Coherence:</b> Ensure a consistent, high-quality product experience across Web, Desktop, and Mobile surfaces.</p></li><li><p><b>
Build Product Processes &amp; Level Up the Org:</b> Establish best-in-class product processes, define success metrics and KPIs, and help grow the product function as the company scales.</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><p><b>
Required:</b></p><ul><li><p>
3+ years of experience as a Product Manager, with a focus on technically complex, engineering-heavy products</p></li><li><p>
Proven track record delivering AI-powered features or products, including managing the AI product lifecycle</p></li><li><p>
Experience as a Founding or Lead PM, with demonstrated ability to align cross-functional teams (engineering, design, executives)</p></li><li><p>
End-to-end ownership of products from discovery through delivery and iteration</p></li><li><p>
Strong data-driven decision-making with well-defined success metrics and KPIs</p></li><li><p>
Strong technical fundamentals &mdash; either through a technical education background or hands-on engineering experience</p></li><li><p><b>
Fluency in German is required</b></p></li></ul><p><b>
Nice to Have:</b></p><ul><li><p>
Background as a software engineer or in a technical role prior to transitioning to product management</p></li><li><p>
Experience in B2B SaaS, sales tech, or conversation intelligence</p></li><li><p>
Familiarity with CRM ecosystems and integrations</p></li></ul><h3 class="jobSectionHeader"><b>
Location</b></h3><ul><li><p><b>
On-site</b> in <b>Munich, Germany</b></p></li><li><p>
Visa sponsorship is available</p></li></ul></div>

Founding Product Manager

Wellster Healthtech Group

<div><p>We're looking for an Analytics Engineer who enjoys turning raw data into reliable, trusted datasets that drive business decisions. You'll work closely with product, engineering, and business stakeholders to build scalable data models, improve tracking quality, and enable self-service analytics.</p><p>
This role combines strong SQL skills with analytics engineering best practices and a solid understanding of digital product tracking.</p><p></p><p><b>
Your tasks would be...</b></p><ul><li>
Build, maintain, and optimize scalable data models using dbt</li></ul><ul><li>
Develop reliable, well-documented datasets for reporting and business analysis</li><li>
Write efficient and maintainable SQL queries for complex analytical use cases</li><li>
Maintain and improve event tracking using Google Analytics 4 (GA4)</li><li>
Collaborate closely with Product and Engineering teams to design tracking concepts and ensure high data quality</li><li>
Validate new tracking implementations and investigate data discrepancies</li><li>
Implement and maintain data quality tests and monitoring within dbt</li><li>
Support BI dashboards and reporting by creating trusted and reusable data sources</li><li>
Continuously improve the analytics engineering stack, processes, and best practices</li><li>
Have strong SQL skills and experience working with large-scale datasets</li></ul><ul><li>
Bring hands-on experience with dbt, including models, tests, documentation, and incremental models</li><li>
Have experience implementing and validating Google Analytics 4 (GA4) tracking</li><li>
Understand event-based analytics and digital product measurement</li><li>
Have worked with modern cloud data warehouses such as BigQuery, Snowflake, or Redshift</li><li>
Are familiar with Git and collaborative development workflows</li><li>
Possess strong analytical thinking and problem-solving skills</li><li>
Communicate effectively with both technical and non-technical stakeholders</li><li>
Ideally have experience with orchestration tools such as Airflow, Dagster, or Prefect</li><li>
Have experience with BI platforms such as Looker, Tableau, Power BI, or Metabase</li><li>
Have knowledge of JavaScript or Google Tag Manager for tracking implementations</li><li>
Bring experience with experimentation (A/B testing) and product analytics</li><li>
Are familiar with Python for data processing or automation</li></ul></div>

Analytics Engineer (m/f/d)

BMW Group

<div>
 <strong>
  ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
  <br/>
  <br/>
 </strong>
 Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
 <br/>
 <br/>
 We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.
 <br/>
 <br/>
 <strong>
  What awaits you?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You design data pipelines for ingestion, curation, pseudonymization, and versioning.
  </li>
  <li>
   Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
  </li>
  <li>
   You set up experiment tracking and artifact registries for model variants.
  </li>
  <li>
   Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
  </li>
  <li>
   You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
  </li>
  <li>
   You build and operate the data pipelines and provide self-serve tools for the team.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What should you bring along?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   University degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
  </li>
  <li>
   Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
  </li>
  <li>
   Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
  </li>
  <li>
   Motivation to embrace customer problems and find innovative solutions using available technologies.
  </li>
  <li>
   You enjoy working on complex problems in an international in-house team of experts.
  </li>
  <li>
   Professional English proficiency; German is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 <br/>
 <br/>
 Find out more about Artificial Intelligence at the BMW Group here.
 <br/>
 <br/>
 <strong>
  Note:
 </strong>
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 <br/>
 <br/>
 <strong>
  What do we offer?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Challenging projects with which we are shaping the mobility of tomorrow together.
  </li>
  <li>
   Wide range of personal and professional development opportunities.
  </li>
  <li>
   Attractive, fair and performance-related remuneration.
  </li>
  <li>
   High level of job security.
  </li>
  <li>
   Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
  </li>
  <li>
   Flexible working hours including 6 weeks annual leave and overtime compensation.
  </li>
  <li>
   Discounted BMW &amp; MINI conditions.
  </li>
  <li>
   Many other benefits at bmw.jobs/benefits
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Start date:
 </strong>
 from now on
 <br/>
 <br/>
 <strong>
  Type of employment:
 </strong>
 unlimited
 <br/>
 <br/>
 <strong>
  Working hours:
 </strong>
 Full-time
 <br/>
 <br/>
 If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).
 <br/>
 <br/>
 You can find helpful tips on your application and the application process here.
 <br/>
 <br/>
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 <br/>
 <br/>
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>


Senior Applied AI / ML Data Engineer (f/m/x)

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p><b>Production leadership required. Builder mindset non-negotiable.<br>
</b><br>
</p><p>Salesforce is hiring a Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands-on leadership role for someone who can drive engineering excellence while operating at the executive level. This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders - who design, build, and deploy AI Agents directly in customer environments) and Deployment Strategists (Strategic Builders - customer-facing advisors who shape AI strategy, define use cases, and drive adoption). Together, these teams work alongside customers to co-build and deliver agentic AI solutions on a single large enterprise account or across multiple engagements simultaneously. You'll set the engineering standards, unblock complex customer deployments, and scale the talent that's shipping production AI today.
</p><p></p><h2 class="jobSectionHeader"><b>The Builder Leadership Experience
</b></h2><ul><li><p>Delivery Team Coordination: You own the capacity planning, talent acquisition, and staffing that ensures your cross-functional squads have the horsepower to deploy Agentforce at enterprise scale.
</p></li><li><p>AI-Augmented Leadership: Your team ships solutions using a best-in-class suite of AI tools (Cursor, Claude, and Salesforce coding products like Vibes). You will foster an inclusive, high-energy, and psychologically safe engineering culture where builders iterate fast and continuously level up.
</p></li><li><p>Direct Product Influence: You stand at the center of the product feedback loop. Partner directly with the Product and Engineering organizations on pilot programs and beta rollouts, turning raw field insights from high-stakes deployments into features on the Agentforce core roadmap.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>What You'll Actually Be Building &amp; Execution
</b></h2><h3 class="jobSectionHeader"><b>Leadership &amp; Team Excellence
</b></h3><ul><li><p>Scale Elite Talent: Recruit, mentor, and develop the next wave of Technical and Strategic Builders. Drive technical excellence, structure career growth, and foster an environment where shipping high-quality, production-ready systems is the norm.
</p></li><li><p>Maintain Operational Velocity: Monitor key delivery metrics, coach your teams on optimization, and run hard on complex customer escalations. You ensure your teams move from sketch to deployable in weeks, not months.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>Technical Strategy &amp; Authority
</b></h3><ul><li><p>Ultimate Technical Authority: Serve as the final technical escalation point for your portfolio. Maintain deep architectural judgment across the Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration.
</p></li><li><p>Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly to help your teams assess customer technical readiness, remove deployment barriers, and codify standardized, repeatable delivery methodologies.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>Customer &amp; Business Impact
</b></h3><ul><li><p>Drive Agentic Adoption: Build and anchor strong executive-level relationships within your customer portfolio, ensuring flawless Agentforce activation, rollout, and sustained production value.
</p></li><li><p>Accelerate Portfolio Performance: Operationally run your account portfolio with engineering rigor - monitoring health, delivery velocity, and core consumption metrics to accelerate progress toward customer business outcomes.
</p></li><li><p>Cross-Functional Alignment: Partner lock-step with Services, Account Success, and Product teams to help enterprises activate and consume Agentforce quickly, moving customers from pilot to production at hyper-speed.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>You're Our Builder Lead If&hellip;
</b></h2><ul><li><p>You Have Proven Leadership: 4+ years of direct people management or high-impact technical leadership steering cross-functional engineering or technical teams. You have a track record of hiring, mentoring, and scaling technical talent.
</p></li><li><p>Your fluent in <b>GERMAN &amp; ENGLISH
</b></p></li><li><p>You Bring Advanced Technical Depth: Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem. You have hands-on experience with enterprise software implementation, data modeling, API integration, and AI deployments.
</p></li><li><p>You Own the Agentforce &amp; Data Cloud Blueprint: You possess direct, hands-on experience architecting or deploying Salesforce Data Cloud and the Agentforce platform. You don't just understand the tech stack - you know how to orchestrate it to unblock enterprise scale and drive immediate production value.
</p></li><li><p>You Lead with an Enterprise Customer Focus: Strong background navigating high-touch customer strategies at a Global level, paired with exceptional executive-level communication and influence skills. You can hold your own in a room with customer CTOs and enterprise architects.
</p></li><li><p>You Have a Ship-It Mindset: Exceptional problem-solving instincts, extreme resourcefulness, and a &quot;get-things-done&quot; demeanor. You thrive at the technical helm where code is being actively shipped, not just talking about it.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Nice-to-Haves
</b></h2><ul><li><p>Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails.
</p></li><li><p>Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines.
</p></li><li><p>Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist).
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p>We warmly invite applications from individuals with a severe disability status (Schwerbehinderung). Salesforce is committed to equality and creating a workplace that reflects society. We set ambitious goals for representation, emphasize accessibility and inclusion, and continuously learn and improve. Learn more about our inclusion initiatives here (https://www.salesforce.com/company/accessibility/workplace-resources/#ally-sf-benefits). In 2019, Salesforce joined The Valuable 500 to champion disability inclusion in business leadership.
<p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Senior Manager, Solutions Builder

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)

Explore 56+ Engineering manager in Munich this July. Find roles across top companies and apply now to boost your career.