Top Tech Jobs & Startup Jobs

Handle customer orders within the GDSN data pool and atrify retailer portal, document and archive requests, manage customer communication, ensure accurate billing, maintain CRM master data, and support administrative, commercial, and project activities. The role requires strong German and English communication skills, technical curiosity, and the ability to learn complex data-maintenance processes independently.

A referral submission form inviting people to share a friend's details and CV for future job matches. The employer will contact referred candidates when a suitable opportunity arises; applicants are asked to follow referral rules and guidelines.

Own the full backend software development lifecycle, including architecture, implementation, testing, deployment, and production support. Design RESTful APIs and distributed systems, optimize large-scale databases, and use AWS, Docker, Kubernetes, serverless technologies, and CI/CD pipelines. Contribute to technical strategy and agentic software development initiatives while collaborating with cross-functional teams and mentoring engineers.

Own, audit, validate, optimize, and modernize statistical models written in R. Build and deploy new predictive models and analytical features, improve production code quality, collaborate with data engineering, communicate technical findings to stakeholders, and mentor junior data scientists. The role requires advanced statistical modeling expertise, strong R proficiency, and experience improving complex algorithms.

Own, audit, validate, and optimize statistical models written in R. Develop predictive models and analytical features, modernize code into production-ready frameworks, improve scalability, and implement testing and documentation best practices. Collaborate with data engineers and business stakeholders to deploy models and communicate insights. Mentor junior data scientists and analysts. The role requires advanced applied statistics, expert R proficiency, and extensive professional data science experience.

Investigate and diagnose mobile and web campaign tracking issues, reproduce ad journeys, test tracking links, monitor Branch integrations, validate SDKs and datalayers, document resolutions, and escalate architectural or cross-team issues. The role supports campaign specialists and nontechnical stakeholders across app attribution ecosystems involving Branch, Firebase, Google Ads, Meta, GTM, and GA4.

Support clients using a SaaS platform by troubleshooting integrations, data feeds, APIs, CSS, HTML, and JavaScript applications. Coordinate with Customer Success, Account Management, Engineering, and Product teams; lead client and internal projects; communicate technical requirements; analyze data; and manage quality assurance and testing.

Provides senior-level technical support for a credential management software product. Responsibilities include managing service desk requests, diagnosing and resolving customer issues, escalating tickets, monitoring resolution progress, maintaining documentation and knowledge bases, and communicating with customers through email, phone, and conference calls. The role requires troubleshooting expertise across Active Directory, Exchange Server, SQL Server, and Windows Server, strong customer service, and willingness to work rotating shifts.

Lead technical relationships with assigned SaaS clients, supporting integrations, feature implementations, data feeds, APIs, CSS, and client-side applications. Troubleshoot issues, coordinate internal teams, manage client and internal projects, communicate product feedback, analyze data, and oversee quality assurance and testing. The role requires clear communication with technical and non-technical stakeholders and fluency in English.

Leads the transformation of software development into a governed AI-agentic lifecycle. Responsibilities include assessing SDLC automation readiness, designing agent orchestration architecture, implementing security and approval guardrails, selecting tooling, integrating CI/CD and code review systems, managing phased organizational rollout, training engineering teams, and reporting on ROI, risk, adoption, and operational outcomes.