Top Tech Jobs & Startup Jobs

Lead the design, development, and operation of highly available, multi-tenant data platform services on Kubernetes, including Postgres, streaming systems, and key-value stores. Define distributed-system architecture, disaster recovery, failover, scalability, security, and reliability standards. Build Kubernetes operators, controllers, CRDs, automation, and self-service APIs; lead major technical initiatives, resolve risks, mentor engineers, and partner across engineering teams on platform contracts, SLOs, and operating models.

Lead inbound product strategy, prioritize product roadmaps, build cross-functional consensus, and guide teams through development. The role involves integrating usability research, customer insights, market analysis, and AI considerations into product requirements and solutions. The manager will communicate priorities, translate complex problems into clear requirements, foster customer relationships, and deliver customer-centric software products.

Designs, builds, and operates production-grade multi-agent AI workflows for asset management. Responsibilities include integrating frontier and internal AI models, developing scalable backend services and APIs, implementing RAG pipelines, building ServiceNow-based interfaces, and applying observability, logging, traceability, and evaluation across agent workflows. The role collaborates with domain experts, product managers, and engineers while supporting code reviews, production debugging, and platform enhancements.

Leads strategic technical engagement with global and regional partners, combining pre-sales solution consulting, architecture, business development, AI adoption, and co-innovation. Responsibilities include technical discovery, executive briefings, demonstrations, proof-of-concept leadership, solution strategy, partner business planning, practice growth, value engineering, and technical escalation support. The role requires strong ServiceNow workflow expertise, executive influence, partner ecosystem experience, and the ability to create scalable, AI-enabled enterprise solutions.

Supports cybersecurity compliance across cloud systems by monitoring policies, facilitating audits, conducting security compliance testing, maintaining the common control framework, performing risk assessments, supporting government cybersecurity requirements, improving GRC tools and processes, and communicating controls and compliance metrics to internal teams and customers.

Generates new SaaS business revenue within the financial services sector, focusing on the Genossenschaftsbanken territory. Develops C-suite relationships, manages account strategies, coordinates virtual sales teams, advises customers on IT roadmaps, identifies specialist resources, negotiates deals, and achieves sales targets. Requires extensive software or solutions sales experience, financial services expertise, customer relationship management, AI awareness, and willingness to travel up to 50%.

Supports early-stage sales pipeline growth through phone, email, and social outreach. The intern identifies and engages buying-group members, validates intent, qualifies opportunities, schedules prospect meetings, and collaborates with Sales, Marketing, Enablement, and Go-to-Market teams. The role includes learning ServiceNow solutions, using AI-enabled outreach tools, participating in development simulations, meeting performance expectations, and presenting a final project to leadership.

Define enterprise ServiceNow platform vision, architecture standards, governance frameworks, integration and data-model strategies. Advise executives, architects, delivery teams, partners, and product groups on scalable platform decisions. Facilitate governance forums, mitigate performance and technical-debt risks, promote leading practices, and guide multiple teams toward a unified enterprise architecture. Travel of up to 50% annually may be required.

Owns the AI architecture and technical standards for ServiceNow HR Service Delivery’s agentic and conversational capabilities. Responsibilities include designing orchestration and tool layers, enforcing safety and access boundaries, building evaluation and observability infrastructure, integrating LLMs and retrieval, directing AI-assisted engineering, leading incident resolution, and influencing cross-functional teams. The role requires hands-on software engineering, production AI integration, mentorship, and accountability for reliable, secure model-driven applications.

Lead product security incident response for significant vulnerabilities, coordinating investigations, remediation, releases, and coordinated CVE disclosures. Conduct deep-dive exploitability analysis, source-code reviews, root-cause investigations, and postmortems. Partner with engineering, product, release, incident response, researchers, and vendors to reduce exposure windows and improve secure development practices. The role includes scheduled coverage and on-call participation during major security events.