Top Tech Jobs & Startup Jobs

Sell SaaS cybersecurity solutions to SLED customers by generating new business, developing C-suite relationships, leading account and territory planning, orchestrating cross-functional deal teams, advising on IT and AI integration, negotiating and closing deals, and meeting sales targets with up to 50% travel.

Own and build the agent execution harness and orchestration runtime for enterprise-scale conversational/agentic AI: ensure reliability, observability, prompt/version management, LLM integration, eval frameworks, cost/latency optimization, and provide technical leadership for safe, production-grade agent workflows.

Sell SaaS cybersecurity solutions to SLED accounts through account and territory planning, C-suite relationship building, deal negotiation, and cross-functional account orchestration. Act as trusted advisor on IT roadmaps, identify specialists for deals, and achieve new-business revenue targets while traveling up to 50%.

Build and improve enterprise conversational search and question-answering systems using IR and generative AI. Implement retrieval, matching, ranking, and summarization across heterogeneous knowledge sources, develop LLM-enabled features, and create evaluation metrics addressing enterprise constraints like security, privacy, and scalability.

Improve enterprise search relevance for a question-answering platform by crafting and optimizing ranking features, building algorithm frameworks, enabling parallel ranking experiments with tooling, analyzing query logs, and developing metrics to evaluate and boost answer quality across heterogeneous knowledge sources.

Design and build agentic AI orchestration for security operations: architect MCP/agent frameworks, automate end-to-end incident response, lead proactive threat hunting, integrate offense/defense automation, act as technical escalation for complex incidents, and validate automated defenses through simulation testing.

Lead engineering and product efforts to design and implement Agentic AI and conversational/web features using LLMs. Collaborate with ML experts, PM, UX, and GTM to scope, deliver, and scale enterprise AI product capabilities across customers and markets while mentoring engineers and shaping product direction.

Lead product strategy and execution for an enterprise-scale AI-powered search platform. Own platform scalability, search quality metrics, ML performance tradeoffs, cross-functional roadmaps, and translate ambiguous user needs into clear specs and success metrics to deliver performant, enterprise-grade AI search features at scale.

Lead design and implementation of high-performance, scalable integrations that ingest identity data from cloud and SaaS providers. Drive architecture and best practices, mentor backend engineers, partner with product and customer teams, and apply AI/ML models to streamline connector development and data modeling for Veza's Access Graph platform.

Design, build, and operate agentic search infrastructure including indexing engines, ingestion/enrichment pipelines, and multi-modal, permission-aware indices. Own index lifecycle, scale hybrid sparse/semantic/vector indices, improve performance and observability, and contribute to entity resolution/knowledge graph capabilities. Collaborate cross-functionally to deliver production-grade, low-latency search for agents and evolve platform roadmaps.