Director, Connectors

Veeam Software•San Jose, CA

3d•$366,300 - $680,200

About The Position

You will own the Universal Connector Framework for Veeam Data Command Center and lead the team responsible for building and operating integrations across SaaS, IaaS, and AI platforms. In this role, you will help maintain visibility and control as data and AI usage expands across more tools and environments. Your teams will build connectors that discover sensitive data, collect access and permission details, and monitor GenAI-related activity and deliver this information into the platform to support consistent visibility and governance. You will set the technical strategy, define standards for scalability and reliability, and partner across product and engineering to prioritize the integration roadmap.

Requirements

10+ years in backend or data engineering focused on integrations, ETL, or API-first systems, plus 4+ years leading engineering teams
Proven experience architecting and shipping connectors or integration platforms for major SaaS and cloud ecosystems (AWS, Azure, Google Cloud, or complex enterprise apps) at scale
Strong skills in Go and/or Python, especially for high-concurrency and high-throughput work
Strong understanding of distributed systems, including microservices, REST/GraphQL APIs, and message brokers such as Kafka or RabbitMQ
Solid data fundamentals across SQL and NoSQL (graph databases such as Neo4j or Neptune are a plus)
Hands-on experience using AI-assisted development tools (Claude Code, Cursor, Copilot) and the judgement to help a team use them well; building reusable Claude skills or custom agents is a strong plus

Nice To Haves

Experience leading an SDK or developer platform
Familiarity with identity and permission models in tools like SharePoint, Workday, or Google Drive
Experience with performance profiling in high-throughput pipelines
Experience with MCP and custom-agent development
Background in security, privacy, AISPM, or related domains

Responsibilities

Own the connector framework by setting the architecture and roadmap for a scalable, flexible platform that supports integrations such as Snowflake, Salesforce, Databricks, Microsoft 365, and vector databases like Pinecone and Milvus
Lead and grow the team by hiring, mentoring, and developing senior engineers, setting clear standards, and owning delivery, reliability, and scale
Build an AI-first engineering practice where the team uses tools like Claude Code, Cursor, and Copilot with guardrails that protect code quality and security
Create reusable “Claude skills” and workflows that standardize connector patterns, auth flows, and metadata normalization so each new integration is faster to build
Improve AI-driven discovery by driving LLM-based detection for Shadow AI in third-party apps and building the telemetry ingestion needed for AISPM (AI Security Posture Management)
Connect to the graph platform by ensuring connectors extract and normalize metadata, permissions (ACLs), and lineage into the centralized platform
Deliver high-scale, resilient scanning by guiding distributed workers (Go and/or Python) that scan very large environments across hybrid cloud without disrupting source systems, including strong auth support (OAuth, mTLS, JWT) and self-healing behavior for rate limits and failures

Benefits

Unlimited paid time off
12 paid holidays including 4 global VeeaMe Days for self-care
24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning