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Leads technical delivery of government voice AI deployments from scoping through launch and post-launch reporting. Owns architecture, integrations, security, hosting, compliance, RFP solutioning, technical bids, estimates, SLAs, demos, and executive stakeholder communication. Personally handles complex deployments while managing a forward-deployed engineering team. Requires hands-on software, cloud, API, SQL, monitoring, and LLM application expertise, plus frequent collaboration with product, engineering, government departments, and senior officials.

Drive enterprise revenue for a conversational AI platform by prospecting, managing executive relationships, leading complex negotiations, closing and expanding six- or seven-figure SaaS deals, and developing sales strategies. The role owns end-to-end enterprise sales cycles, collaborates with legal, finance, marketing, product, technical, and operations teams, and helps establish Blue Machines’ North American go-to-market motion.

Own analytics, evaluation frameworks, quality metrics, dashboards, and business impact measurement for AI voice agents. Analyze deployment KPIs, support billing and reconciliation, automate reporting with AI tools, build reusable analytics frameworks, and create voice-agent evaluation datasets across accents, languages, and noise conditions. Collaborate with AI Engineering, Product, Operations, and enterprise customers to translate system behavior into actionable insights.

Leads a hands-on Forward Deployed Engineering team delivering AI-powered customer solutions. Responsibilities include managing engineers, designing architectures, building and debugging production systems, integrating enterprise workflows, leading customer deployments, reviewing code, managing incidents, improving reliability, and driving execution across ambiguous, customer-facing projects.