Top Tech Jobs & Startup Jobs

Generates and closes B2B sales for Kasten products within an assigned territory. Builds relationships with prospects, partners, resellers, and end users; conducts lead generation and cold calling; communicates product benefits; coordinates with field sales and internal teams; manages forecasts and opportunities; updates Salesforce; and achieves individual and team quotas. Travel is required up to 5–10%.

Leads the design, operation, and evolution of global Azure and multi-cloud infrastructure for enterprise SaaS platforms. Responsibilities include Infrastructure-as-Code, cloud networking, identity and governance, disaster recovery, high availability, security, automation, developer platform improvements, and operational excellence. The role provides technical leadership, mentorship, architecture guidance, and cross-functional collaboration with security, compliance, operations, and engineering teams.

Principal Product Manager responsible for defining and launching data and AI trust products spanning data resilience, security, AI governance, and Kubernetes workloads. The role leads 0-to-1 product initiatives, partners with engineering and customers, drives security and compliance, develops roadmaps and success metrics, supports sales demonstrations, and strengthens ecosystem partnerships. It requires strong technical fluency in AI, cloud infrastructure, cybersecurity, data protection, and recovery, along with the ability to influence cross-functional teams without direct authority.

Leads Veeam’s global digital advertising and paid media strategy to drive demand generation, pipeline, and revenue growth. Oversees global teams, agency relationships, media investments exceeding $10 million, cross-channel optimization, audience strategies, measurement frameworks, and partnerships with major advertising and technology platforms. Collaborates with marketing, analytics, MarTech, product, field, and brand teams to scale data-driven programs and improve performance across the buyer journey.

Leads the development of reliable, scalable, and observable SaaS platforms and SRE tooling. Builds reliability libraries, observability pipelines, progressive delivery systems, resilience automation, Kubernetes and infrastructure-as-code components, and incident-learning systems. Designs distributed multi-region services on Azure, leads complex incidents, drives cross-team reliability initiatives, mentors engineers, and establishes SLO, error-budget, architecture, and deployment standards.

Advise Product, Engineering, Security, and business teams on software, SaaS, cloud, privacy, cybersecurity, AI, intellectual property, and emerging technology regulations. Guide products throughout their lifecycle, assess legal and regulatory risks, draft agreements and privacy documentation, support privacy-by-design, monitor global regulations, and develop scalable legal processes, playbooks, policies, and training.

Leads global compensation strategy and programs. The posting provides placeholder content and does not specify actual responsibilities, qualifications, technologies, salary, travel, or clearance requirements.

Designs and operates secure, highly scalable cloud-native infrastructure across AWS, Azure, and GCP. Responsibilities include infrastructure as code, Kubernetes administration, GitOps-based CI/CD, zero-downtime deployments, observability, distributed-systems troubleshooting, on-call production support, and automation using Python and Go. The role also requires database operations, Linux and networking expertise, service mesh knowledge, and implementation of zero-trust and least-privilege security practices.

Design and build scalable testing frameworks, performance and stress-testing harnesses, distributed load-generation tools, and fault-injection pipelines for high-scale data connectors. Validate ingestion workflows across AWS, Azure, Kubernetes, streaming systems, queues, and APIs under extreme concurrency, degraded networks, schema changes, and authentication failures.

Design, develop, test, troubleshoot, document, and deploy enterprise MuleSoft integrations, APIs, and connectors using Anypoint Platform and CloudHub. Optimize scalability, reliability, and performance; collaborate on integration testing and code reviews; integrate ERP, CRM, database, cloud, and third-party systems; and provide technical guidance to junior developers.