Top Tech Jobs & Startup Jobs in Berlin

Reposted 6 Hours AgoSaved
In-Office
Berlin, DEU
Senior level
Senior level
eCommerce • Software • Financial Services
The Chief of Staff will support the CEO in executing company strategy, managing financial operations, applying AI to improve processes, and leading high-impact projects across the organization.
Top Skills: AIFinancial AnalysisWorkflow Automation
Reposted 6 Hours AgoSaved
In-Office or Remote
4 Locations
Senior level
Senior level
Cloud • Software
The role involves leading complex sales for MuleSoft's integration solutions targeting IT and business leaders, focusing on both Commercial and Enterprise segments. Responsibilities include strategizing market entry, achieving sales targets, and fostering customer success through a consultative approach.
Reposted 6 Hours AgoSaved
In-Office or Remote
Berlin, DEU
Senior level
Senior level
Blockchain • Sports
As a Senior Full Stack Engineer, you'll develop the product, handle the tech roadmap, and ensure stability, security, and scalability of the platform while leveraging web2 and web3 technologies.
Top Skills: APIsAWSCSSGitHTMLIpfsNextjsNode.jsOpen Zeppelin LibraryRailwayReactRpcSolidityStrapiTailwindTypescriptWeb3Js
Reposted 6 Hours AgoSaved
In-Office
Berlin, DEU
Senior level
Senior level
Agency
As a Motion Designer, you will create distinctive motion design systems, animate high-impact campaigns, and mentor junior designers, collaborating closely with creative teams to elevate brand experiences.
Top Skills: After EffectsCavalryCinema 4DHoudiniTouchdesigner
Reposted 6 Hours AgoSaved
In-Office
4 Locations
Senior level
Senior level
Security
The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.
Top Skills: AirflowBigQueryBigtableClickhouseCloud StorageDataflowDbtDockerFlinkGCPGithub ActionsKafkaKubernetesPub/SubPythonSparkSQL
Reposted 6 Hours AgoSaved
In-Office
3 Locations
Senior level
Senior level
Cloud • Enterprise Web • Information Technology • Productivity • Software
The Senior Backend Engineer will design and operate high-performance gateway components in Go, lead technical direction, and collaborate on system scalability and availability requirements.
Top Skills: Api ManagementAWSAzureDockerGCPGoGrpcKubernetesRedisRest
Reposted 6 Hours AgoSaved
In-Office
2 Locations
Senior level
Senior level
Cloud • Fintech • HR Tech
Responsible for planning and executing Professional Services business development, supporting sales cycles, and ensuring successful project deployments for customers.
Top Skills: Financial SystemsGeneral LedgerSaaS
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Reposted 6 Hours AgoSaved
In-Office
Berlin, DEU
Junior
Junior
Fintech • Payments
As Junior Counsel, you'll support employment law issues for the People Team, draft contracts, ensure compliance, and collaborate with various teams.
Top Skills: Contract Management SystemsDigital Hr SystemsGerman Employment Law
Reposted 6 Hours AgoSaved
In-Office
Berlin, DEU
Mid level
Mid level
Fintech • Payments
As a Hardware Engineer, you will design and improve electrical schematics, collaborate with engineers, debug designs, and coordinate hardware implementation in product development.
Top Skills: AltiumAnalog DesignBattery TechnologyCadence/AllegroDigital Buses/ProtocolsNfcPower DesignRf (CellularWi-Fi/Bt)
Reposted 6 Hours AgoSaved
In-Office
Berlin, DEU
Senior level
Senior level
Fintech • Payments
Design and build greenfield backend services (Banners, Rewards, Feature Toggles) in Golang. Own end-to-end feature lifecycle, create APIs for mobile/web, implement asynchronous processing with Kafka, run high-velocity experiments to drive merchant activation and revenue, and collaborate across teams to ensure scalable integration.
Top Skills: Event-Driven ArchitectureGoKafkaRestful Api
Reposted YesterdaySaved
In-Office
2 Locations
Mid level
Mid level
Information Technology
Advise clients on enterprise AI and data strategy, define AI operating models and platform blueprints, assess AI maturity, build business cases and roadmaps, embed Responsible AI, identify people/process/technology needs, and lead workstreams to commercialize AI-driven products and transformations.
Reposted YesterdaySaved
In-Office
2 Locations
Senior level
Senior level
Information Technology
Advise clients on creating and capturing value from AI and data by defining AI/data strategy, building value cases and roadmaps, shaping operating models and platforms, embedding Responsible AI, leading large-scale delivery, engaging senior stakeholders, and linking AI initiatives to measurable business outcomes.
YesterdaySaved
In-Office
2 Locations
Senior level
Senior level
Information Technology
Lead end-to-end process transformation for an industry or function, embedding AI agent design into future-state processes. Run client discovery workshops, benchmark and assess change impact, design operating models and adoption plans, coach junior practitioners, contribute to proposals, and document playbooks. Specify AI agent autonomy, escalation triggers, and human-agent handoffs across process steps.
Top Skills: AIAi AgentsAi-Assisted ToolsDigital TwinProcess Mining
YesterdaySaved
In-Office
2 Locations
Expert/Leader
Expert/Leader
Logistics • Transportation
Lead sennder’s Data & ML organization (Analytics Engineering, Data Insights, Data & AI Platform, ML/Data Science). Build and coach leadership, define data standards and a single source of truth, improve data quality as a business priority, and commercialize ML/AI to drive margin, cost, and service improvements. Partner with CPTO and SVP Engineering to align technical standards, governance, and stakeholder adoption while delivering measurable business impact.
YesterdaySaved
In-Office
2 Locations
Expert/Leader
Expert/Leader
Logistics • Transportation
Lead sennder's Data & ML organization end-to-end, build senior leadership bench, define data standards and one source of truth, commercialize ML for margin and cost impact, drive data quality as a business issue, and align data platform and governance with engineering and business stakeholders.
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