senior product development manager

AVIV Group

<div>Company Description 
Join one of the world&rsquo;s largest and most innovative digital real estate tech companies.
Backed by global investment leaders KKR and CPP Investments, AVIV Group is redefining how people buy, sell, rent, and value property across Europe and the Middle East. With a strong presence in France, Germany and Belgium, we&rsquo;re behind some of the region&rsquo;s most iconic digital real estate platforms &mdash; including SeLoger , immowelt , Immoweb , Meilleurs Agents (France&rsquo;s leading property valuation platform), and Homeday, one of Germany&rsquo;s fastest-growing proptechs.
Our mission? To simplify life&rsquo;s most valuable transactions. We bring together data, technology, and human insight to empower millions of people to unlock their perfect place! 
WHO WE ARE
Immowelt is a leading German digital real estate marketplace and part of the Aviv Group, a European family of real estate platforms across Germany, France, and Belgium, building trusted property ecosystems. 
Job Description 
THE ROLE 
We are looking for a (Senior) Product Manager to own and drive Immowelt's Core Classified and Import Products &mdash; a suite of platform-enablement products that sit at the heart of how real estate data flows into and out of our marketplace. 
You will own the full product lifecycle across data import infrastructure, classified listing products, and data-as-a-service exports: from defining the vision and roadmap to driving measurable delivery with engineering, data, and commercial teams. 
You will report directly to the Head of Product and work closely with cross-functional squads across Immowelt and the Aviv Group. We're looking for a strong Senior PM or a mid-level PM ready to grow into real ownership and broader scope. 
WHAT YOU WILL DO<ul><li>
Set and execute the product strategy across your portfolio. Own the vision, mission, roadmap, backlog, and delivery &mdash; aligned with Immowelt's OKRs and business targets.</li><li>
Lead high-impact platform enablement and transformation initiatives, partnering closely with engineering, data, ops, and business stakeholders across the organisation.</li></ul>
Product Discovery &amp; Strategy<ul><li>
Own end-to-end product discovery: define target state, assess current gaps, and map the best transformation path.</li><li>
Research and synthesise market signals, B2B customer needs, operational pain points, and technical constraints into a prioritised roadmap.</li><li>
Define measurable goals, success KPIs, and north-star metrics for all initiatives &mdash; and track them rigorously.</li><li>
Validate opportunities through fast experimentation and iterative delivery.</li></ul>
Delivery &amp; Execution<ul><li>
Drive end-to-end product delivery in close partnership with engineering, design, and data teams.</li><li>
Translate complex technical and business requirements into clear scope, acceptance criteria, and delivery milestones.</li><li>
Manage planning, prioritisation, dependencies, and risks across multiple simultaneous workstreams.</li><li>
Lead platform modernisation efforts &mdash; including the migration from legacy on-premise infrastructure to cloud &mdash; with clear migration plans and stakeholder communication.</li><li>
Ensure every impact of your delivery on other teams is communicated, aligned, and transparent.</li></ul>
Stakeholder Communication &amp; Alignment<ul><li>
Align stakeholders &mdash; from engineering to senior leadership &mdash; on strategy, priorities, and progress with full transparency.</li><li>
Manage a broad range of business and technical stakeholders, navigating conflicting requirements and high-pressure environments with confidence.</li><li>
Present roadmap updates and delivery outcomes to leadership using strategic context and clear storytelling.</li><li>
Coordinate across teams for dependency management, synchronisation, and joint decision-making.</li></ul>
Data &amp; Analytics<ul><li>
Track and report on product KPIs to measure success, identify failures, and drive continuous improvement.</li><li>
Use data and analytics to deeply understand the current state, define the target state, and identify the best path of transformation.</li>
Define instrumentation requirements to ensure full measurability of product outcomes. 
<li>
</li></ul> 
 
Qualifications 
WHAT WE ARE LOOKING FOR 
Experience &amp; Background<ul><li>
Several years of product management experience, or close and hands-on collaboration with product managers in a software product environment.</li><li>
Proven ability to move quickly between big-picture strategy and technical implementation details.</li><li>
Deep understanding of how high-velocity software development teams work and how engineers think.</li><li>
Experience with platform enablement, API and integration products, Partnership ecosystem creation and data services.</li><li>
Background in transformation projects &mdash; where both tech/infrastructure and business enablement products are being modernised simultaneously.</li><li>
Experience in B2B SaaS, PropTech, marketplaces, or data platform contexts is a strong plus.</li><li>
Technical &amp; Analytical Skills</li><li>
Strong analytical capabilities &mdash; you understand current challenges deeply, define the best target state, and map the transformation journey clearly.</li><li>
Technical fluency to engage meaningfully in architecture discussions, API design, and build vs. buy decisions.</li><li>
Solid grasp of integration patterns, microservices, event-driven systems, and cloud infrastructure concepts.</li><li>
Comfortable with data querying and BI tools to validate hypotheses and monitor product performance.</li><li>
Familiar with high frequency cadence , fast speed development and delivery.</li></ul>
Communication &amp; Mindset<ul><li>
Excellent verbal and written communication skills &mdash; able to translate technical concepts for business stakeholders and business requirements for engineering teams.</li><li>
You bring well-formed opinions to discussions but hold them loosely &mdash; influencing stakeholders without direct authority.</li><li>
You never limit your view to your own scope; you see everything end-to-end and take ownership of cross-team impact.</li><li>
Comfortable working autonomously across several concurrent projects with little guidance.</li><li>
You thrive on solving problems others think are impossible &mdash; with a relentless curiosity, learning mindset, and willingness to challenge the status quo.</li></ul>
Language &amp; Location<ul><li>
Strong written and spoken English is required for collaboration across Immowelt and the Aviv Group.</li><li>
German language skills (B2 or above) are a plus for partner and stakeholder conversations.</li>
We ideally prefer candidates based in or willing to relocate to Nuremberg, Berlin, or Hamburg. 
<li>
</li></ul> 
 
Additional Information 
What We Offer:<ul><li>
Ownership of a meaningful product domain with real business impact.</li><li>
A data-driven and collaborative Product &amp; Tech culture.</li><li>
High visibility and influence within the organization.</li><li>
Competitive compensation and benefits.</li><li>
Hybrid working model.</li></ul></div>

Senior Product Manager - Core Classified & Listing Import Products

Groupe SeLoger

<div><div><div><div><h2 class="jobSectionHeader">Company Description</h2></div><div>
Join one of the world&rsquo;s largest and most innovative digital real estate tech companies.
Backed by global investment leaders KKR and CPP Investments, AVIV Group is redefining how people buy, sell, rent, and value property across Europe and the Middle East. With a strong presence in France, Germany and Belgium, we&rsquo;re behind some of the region&rsquo;s most iconic digital real estate platforms &mdash; including SeLoger , immowelt , Immoweb , Meilleurs Agents (France&rsquo;s leading property valuation platform), and Homeday, one of Germany&rsquo;s fastest-growing proptechs.
Our mission? To simplify life&rsquo;s most valuable transactions. We bring together data, technology, and human insight to empower millions of people to unlock their perfect place! 
WHO WE ARE
Immowelt is a leading German digital real estate marketplace and part of the Aviv Group, a European family of real estate platforms across Germany, France, and Belgium, building trusted property ecosystems.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
THE ROLE 
We are looking for a (Senior) Product Manager to own and drive Immowelt's Core Classified and Import Products &mdash; a suite of platform-enablement products that sit at the heart of how real estate data flows into and out of our marketplace. 
You will own the full product lifecycle across data import infrastructure, classified listing products, and data-as-a-service exports: from defining the vision and roadmap to driving measurable delivery with engineering, data, and commercial teams. 
You will report directly to the Head of Product and work closely with cross-functional squads across Immowelt and the Aviv Group. We're looking for a strong Senior PM or a mid-level PM ready to grow into real ownership and broader scope. 
WHAT YOU WILL DO<ul><li>
Set and execute the product strategy across your portfolio. Own the vision, mission, roadmap, backlog, and delivery &mdash; aligned with Immowelt's OKRs and business targets.</li><li>
Lead high-impact platform enablement and transformation initiatives, partnering closely with engineering, data, ops, and business stakeholders across the organisation.</li></ul>
Product Discovery &amp; Strategy<ul><li>
Own end-to-end product discovery: define target state, assess current gaps, and map the best transformation path.</li><li>
Research and synthesise market signals, B2B customer needs, operational pain points, and technical constraints into a prioritised roadmap.</li><li>
Define measurable goals, success KPIs, and north-star metrics for all initiatives &mdash; and track them rigorously.</li><li>
Validate opportunities through fast experimentation and iterative delivery.</li></ul>
Delivery &amp; Execution<ul><li>
Drive end-to-end product delivery in close partnership with engineering, design, and data teams.</li><li>
Translate complex technical and business requirements into clear scope, acceptance criteria, and delivery milestones.</li><li>
Manage planning, prioritisation, dependencies, and risks across multiple simultaneous workstreams.</li><li>
Lead platform modernisation efforts &mdash; including the migration from legacy on-premise infrastructure to cloud &mdash; with clear migration plans and stakeholder communication.</li><li>
Ensure every impact of your delivery on other teams is communicated, aligned, and transparent.</li></ul>
Stakeholder Communication &amp; Alignment<ul><li>
Align stakeholders &mdash; from engineering to senior leadership &mdash; on strategy, priorities, and progress with full transparency.</li><li>
Manage a broad range of business and technical stakeholders, navigating conflicting requirements and high-pressure environments with confidence.</li><li>
Present roadmap updates and delivery outcomes to leadership using strategic context and clear storytelling.</li><li>
Coordinate across teams for dependency management, synchronisation, and joint decision-making.</li></ul>
Data &amp; Analytics<ul><li>
Track and report on product KPIs to measure success, identify failures, and drive continuous improvement.</li><li>
Use data and analytics to deeply understand the current state, define the target state, and identify the best path of transformation.</li>
Define instrumentation requirements to ensure full measurability of product outcomes. 
<li>
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Qualifications</h2></div><div>
WHAT WE ARE LOOKING FOR 
Experience &amp; Background<ul><li>
Several years of product management experience, or close and hands-on collaboration with product managers in a software product environment.</li><li>
Proven ability to move quickly between big-picture strategy and technical implementation details.</li><li>
Deep understanding of how high-velocity software development teams work and how engineers think.</li><li>
Experience with platform enablement, API and integration products, Partnership ecosystem creation and data services.</li><li>
Background in transformation projects &mdash; where both tech/infrastructure and business enablement products are being modernised simultaneously.</li><li>
Experience in B2B SaaS, PropTech, marketplaces, or data platform contexts is a strong plus.</li><li>
Technical &amp; Analytical Skills</li><li>
Strong analytical capabilities &mdash; you understand current challenges deeply, define the best target state, and map the transformation journey clearly.</li><li>
Technical fluency to engage meaningfully in architecture discussions, API design, and build vs. buy decisions.</li><li>
Solid grasp of integration patterns, microservices, event-driven systems, and cloud infrastructure concepts.</li><li>
Comfortable with data querying and BI tools to validate hypotheses and monitor product performance.</li><li>
Familiar with high frequency cadence , fast speed development and delivery.</li></ul>
Communication &amp; Mindset<ul><li>
Excellent verbal and written communication skills &mdash; able to translate technical concepts for business stakeholders and business requirements for engineering teams.</li><li>
You bring well-formed opinions to discussions but hold them loosely &mdash; influencing stakeholders without direct authority.</li><li>
You never limit your view to your own scope; you see everything end-to-end and take ownership of cross-team impact.</li><li>
Comfortable working autonomously across several concurrent projects with little guidance.</li><li>
You thrive on solving problems others think are impossible &mdash; with a relentless curiosity, learning mindset, and willingness to challenge the status quo.</li></ul>
Language &amp; Location<ul><li>
Strong written and spoken English is required for collaboration across Immowelt and the Aviv Group.</li><li>
German language skills (B2 or above) are a plus for partner and stakeholder conversations.</li>
We ideally prefer candidates based in or willing to relocate to Nuremberg, Berlin, or Hamburg. 
<li>
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Additional Information</h2></div><div>
What We Offer:<ul><li>
Ownership of a meaningful product domain with real business impact.</li><li>
A data-driven and collaborative Product &amp; Tech culture.</li><li>
High visibility and influence within the organization.</li><li>
Competitive compensation and benefits.</li><li>
Hybrid working model.</li></ul></div></div></div>
<div><div>
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Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

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. 
We are proud to be a Unicorn 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.</div>
Engineering Manager &ndash; Data &amp; Analytics

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.

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.

Our environment
<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>
What you'll be doing
<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>
What you need to be successful
<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>
Nice to have
<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>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - 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>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

autarc GmbH

<div><h4 class="jobSectionHeader">Company</h4>
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.<h4 class="jobSectionHeader"> 
Role description</h4>
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.<div> 
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> 
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> 
Other responsibilities will be as follows: 
<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.<h4 class="jobSectionHeader">
Requirements</h4><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><h4 class="jobSectionHeader">
What we offer</h4><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><h4 class="jobSectionHeader"> 
Next steps</h4>
If your application is successful, you will participate in the following: 
<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><h4 class="jobSectionHeader">
About us</h4>
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. 
autarc is developing the leading operating system (OS) for heat pump installers, enabling a more digital and efficient installation process for heat pumps. 
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.</div>

Product Manager (AI)

SPREAD GmbH

<div><h4 class="jobSectionHeader">Short Description</h4>
SPREAD builds engineering intelligence for the world's most complex products. Our AI-native platform gives automotive OEMs, defense primes, and industrial manufacturers a single source of product truth so engineering teams can make confident product decisions, fast. We work with companies like Volkswagen, BMW, Mercedes, Bosch, Stadler, and Rheinmetall. Backed by HV Capital, DTCP, La Famiglia / General Catalyst, and Salesforce. 
 
In this role, you own how SPREAD is positioned, messaged, and understood by engineering leaders at enterprise accounts. You translate a deeply technical product into narratives that win deals, arm Sales with competitive intelligence and enablement assets, and partner with Product and Engineering on go-to-market. This is a hands-on role in a small, senior marketing team alongside Growth, GTM Ops, and Design.<h4 class="jobSectionHeader"> 
Your Mission</h4><ul><li>
Own positioning and messaging for SPREAD's platform, turning engineering intelligence into value propositions that land with top engineering leaders.</li><li>
Build and maintain competitive intelligence across the PLM and engineering data landscape and turn it into battle cards and objection-handling guides that Sales uses daily.</li><li>
Create sales enablement assets that shorten enterprise sales cycles and improve win rates.</li><li>
Partner with Product and Engineering on go-to-market for product releases, connecting every launch to a measurable customer outcome.</li><li>
Develop thought leadership content that builds credibility with deeply technical audiences.</li><li>
Partner with Growth and GTM Ops on campaign messaging and account targeting so demand gen speaks the right language to the right pain points.</li><li>
Represent SPREAD at industry events and customer conversations where engineering leaders expect a peer-level discussion about their domain.</li></ul><h4 class="jobSectionHeader">
Your Experience
</h4><ul><li>5+ years in B2B product marketing or technical product management for enterprise software or complex technical products, with hands-on ownership of positioning, messaging, and go-to-market.</li><li>
Technical fluency through an engineering or technical degree, or through deep experience managing or marketing highly technical products. You can hold a credible conversation about data architectures, PLM tool landscapes, or software-defined product development.</li><li>
Experience building sales enablement for complex enterprise deals (&euro;100K+ ACV, 6-12-month cycles, multi-stakeholder buying committees).</li><li>
Strong competitive intelligence instinct. You track competitors, articulate differentiation in the buyer's language, and prepare sales teams for live objection handling.</li><li>
AI-native working style. You use AI tools daily to scale your output, from content creation to research to workflow automation. SPREAD is an AI-first company, and every team member operates accordingly.</li><li>
Identity as a product marketer. You partner with Product and Engineering, you speak their language, but your craft is marketing, not roadmaps or feature specs.</li><li>
Native or near-native English. Working-level German minimum. If German is your native language, strong English is sufficient.</li><li>
Based in Berlin or close enough for regular in-office collaboration, especially during the first months.</li></ul><h4 class="jobSectionHeader">
Why SPREAD?</h4><ul><li>
Work on Agentic Engineering Intelligence that helps leading manufacturers master software-defined complexity. You market technology that engineering leaders genuinely care about.</li><li>
High ownership and measurable impact. You connect your positioning directly to deal outcomes and pipeline.</li><li>
A senior team that values craft, speed, and accountability over process and hierarchy.</li><li>
Strong overall package including attractive compensation and an annual learning budget.</li><li>
Mobility and wellbeing support through a Deutschlandticket mobility budget, bike-leasing and an Urban Sports partnership.</li><li>
Time off and flexibility with 30 vacation days, workation options, and one paid volunteering day per year.</li></ul><h4 class="jobSectionHeader">
Contact</h4>
Dmytro İefymenko 
recruiting@spread.ai 
 
SPREAD AI 
K&ouml;penicker Str. 40c | 10179 Berlin 
 
Stay connected&mdash;follow us on LinkedIn for the latest insights and updates<h4 class="jobSectionHeader">
About us</h4>
SPREAD is pioneering Agentic Engineering Intelligence. Our low-code platform transforms fragmented hardware and software product data into dynamic Product Twins, creating an AI-ready knowledge base that powers smarter decisions and automation across the entire product lifecycle. 
At the heart of our technology lies the world&rsquo;s first Universal Engineering Information Model (EIN) &mdash; a semantic framework that connects domain-specific and lifecycle data into a federated Engineering Intelligence Graph, continuously evolving over time. This foundation enables specialized AI agents to execute tasks like compliance checks, dependency analysis, and specification generation &mdash; seamlessly integrated into the tools engineers already use. 
The impact is tangible: companies using SPREAD achieve up to 10x faster time-to-market, 50% lower lifecycle costs, and significantly higher product quality. 
Industry leaders such as Volkswagen, Mercedes-Benz, BMW, Audi, Rheinmetall, and others rely on SPREAD to build the next generation of software-defined products. 
Headquartered in Berlin, SPREAD delivers enterprise-grade security (ISO 27001 &amp; TISAX), full GDPR compliance, and flexible deployment options &mdash; in the cloud or on-premises. 
 
Our Vision 
The future of engineering is data-driven and agentic. We make product data the most accessible, intuitive, and impactful resource in engineering &mdash; so that engineers can unleash their full creativity and drive innovation at scale.</div>

Senior Product Marketing Manager (f/m/d)

LimeFlight

<div>Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
<h4 class="jobSectionHeader">About the role</h4>
We are hiring a Senior Data &amp; Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data &amp; Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.
This role combines:<ul><li>
Data Engineering (pipelines, processing, customer facing exports, platform)</li><li>
Analytics Engineering (modeling, KPIs, semantic layer)</li><li>
Data Product Ownership (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader">
What You&rsquo;ll Own</h4>
Platform, Architecture &amp; Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)<ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul>
Data Modeling &amp; Semantic Layer<ul><li>
Own Power BI semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul>
Customer-Facing Analytics<ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul>
Data as Product<ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul>
Platform Quality, Operations, Security &amp; Governance<ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul>
Migration &amp; Insourcing (Initial Focus)<ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader">
What We&rsquo;re Looking For</h4>
Experience<ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul>
Technical &amp; Platform Skills<ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul>
Engineering Practices<ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul>
Nice-to-have<ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul>
Mindset<ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader">
Language</h4>
Min. English C1<h4 class="jobSectionHeader">
Expected travel needs</h4>
2 annual one-week team events<h4 class="jobSectionHeader">
Our Tech Stack</h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader">
Hiring Process</h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul> 
LimeFlight is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let&rsquo;s talk!</div>

Senior Data & Analytics Engineer (Europe, 100% remote)

Enpal

<div>
 At Enpal, we are not just a company; we are a movement. As a leading European greentech unicorn, we are on a mission to make clean energy simple, accessible, and scalable for homeowners across the continent.
 
 
 Through solar panels, heat pumps, home batteries, and EV charging, we are redefining residential energy. With Enpal Energy, we are building Europe&rsquo;s leading platform to manage and orchestrate millions of distributed energy assets &mdash; laying the foundation for the largest Virtual Power Plant (VPP) in Europe.
 
 
 Our vision: power Europe&rsquo;s transition to a fully decentralized, intelligent, and clean energy system.
 
 
 
 Job Description
 
 
 
 As a
 
 Senior AI Platform Engineer
 
 , you will design and build the internal AI Engine that powers all AI capabilities across Enpal Energy. This is not about wrapping APIs &mdash; it is about building the core infrastructure that makes AI reliable, scalable, and production-grade.
 
 
 We are looking for a systems thinker with strong engineering fundamentals and a deep understanding of modern AI systems. You care about reliability, observability, and building platforms that enable other engineers to move fast with confidence.
 
 
 What you will do
 
 
 <ul>
 <li>
 Own the design and development of the internal AI platform powering all AI features.
 </li>
 <li>
 Build a robust Agent Runtime to orchestrate complex AI workflows in production.
 </li>
 <li>
 Design scalable backend services and developer-facing APIs for AI systems.
 </li>
 <li>
 Build internal tooling for evaluation, observability, tracing, and debugging (latency, cost, quality, reliability).
 </li>
 <li>
 Define standards for AI quality, including evaluation frameworks, versioning, and reproducibility.
 </li>
 <li>
 Collaborate closely with product and engineering teams to enable fast, safe, and deterministic AI feature delivery.
 </li>
 <li>
 Own CI/CD pipelines, infrastructure as code, and production readiness of AI systems.
 </li>
 <li>
 Continuously improve performance, reliability, and cost efficiency.
 </li>
 <li>
 Contribute to architectural decisions shaping the long-term AI strategy.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5&ndash;7+ years of software engineering experience (mid to senior level).
 </li>
 <li>
 Strong background in backend systems, platform engineering, or internal developer platforms.
 </li>
 <li>
 Strong proficiency in TypeScript and Node.js (JavaScript ecosystem).
 </li>
 <li>
 Solid understanding of modern AI system design, including agentic architectures vs. chains, tool use and function calling, and orchestration patterns.
 </li>
 <li>
 Experience in LLM APIs (e.g. OpenAI, Anthropic, DeepSeek) and AI infrastructure.
 </li>
 <li>
 Experience building observability, logging, tracing, and evaluation systems.
 </li>
 <li>
 Strong focus on reliability, determinism, and production-grade engineering.
 </li>
 <li>
 Experience building APIs and integrating complex systems.
 </li>
 <li>
 Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, or similar).
 </li>
 <li>
 Strong commitment to clean, testable, and scalable code.
 </li>
 <li>
 (Senior level) Experience mentoring engineers and driving technical decisions.
 
 
 </li>
 </ul>
 Additional Information
 
 
 <ul>
 <li>
 Join Germany&rsquo;s leading green unicorn and help shape the energy transition.
 </li>
 <li>
 Work in a diverse team of 65+ nationalities united by one mission.
 </li>
 <li>
 Hybrid work model: office or remote &mdash; your choice.
 </li>
 <li>
 Our Berlin HQ offers a fully equipped startup environment (rooftop, gym, lounges, events).
 </li>
 <li>
 Structured onboarding, including a welcome session with our founder.
 </li>
 <li>
 Regular company updates, technical deep dives, and knowledge sharing sessions.
 </li>
 <li>
 Strong team culture, ownership mindset, and frequent team events.
 </li>
 <li>
 A strong feedback culture that values continuous improvement.
 
 
 </li>
 </ul>
 At Enpal, diversity and inclusion are core values. Hiring decisions are made without discrimination of any kind.
</div>

AI Platform Engineer (f/m/d)

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