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Own enterprise customer outcomes from post-sale implementation through renewal, adoption, and expansion. Lead deployment, onboarding, testing, training, and rollout while translating AI platform capabilities into measurable security and operational results. Build relationships with technical users and executives, resolve complex cross-functional issues, capture product feedback, and identify expansion opportunities. The role requires up to 30% travel.

Design, build, and operate scalable, highly available database and data-serving infrastructure for production and AI workloads. Scale relational, analytical, and vector stores; optimize latency, throughput, and reliability; implement partitioning, sharding, replication, caching, query optimization, observability, backups, and disaster recovery. Partner with AI and engineering teams to support embeddings, vector search, retrieval workflows, analytics, and low-latency data access while building automation, tooling, and best practices for database operations.

Lead and build the Revenue Operations function to create a predictable, scalable GTM engine. Own forecasting, planning, CRM architecture, GTM tech stack, data governance, funnel/process optimization, cross-functional alignment, and executive/board reporting to drive pipeline, bookings, ARR, and GTM efficiency.

Lead a software engineering team to develop innovative products in the physical security space, ensuring high technical standards and mentoring team members.

Design and build backend APIs and services for enterprise security teams. Collaborate with frontend engineers, product managers, and designers on product features from concept to production.

As a Fullstack Engineer, you will design and implement core systems for real-time data processing using AI to enhance physical security. You'll work on scalable microservices, develop APIs, and manage cloud service reliability.

Lead post-sale deployment, onboarding, and long-term adoption of an AI-driven physical security platform. Drive cross-functional alignment, define success criteria, train users, capture feedback, and identify expansion opportunities while managing complex enterprise stakeholders and operational rollouts.