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Drive new enterprise business for Regal’s AI Agent platform by sourcing pipeline, managing complex sales cycles, engaging executive buyers, building ROI-focused business cases, and closing strategic deals. The role requires consultative selling, outbound prospecting, multi-threaded account strategies, quota attainment, and collaboration with leadership, marketing, and BDR teams in a hybrid New York City environment.

Own Camber’s B2B event marketing strategy, including a $700,000 budget across conferences, sponsorships, executive dinners, and invite-only gatherings. Develop event plans, negotiate vendors, coordinate sales engagement, manage follow-up, and track sourced and influenced pipeline in HubSpot or Salesforce. The role requires reporting event ROI, optimizing spending, and traveling 25–30% of the time, primarily during conference season.

Develop production robotics perception software for manufacturing environments. Responsibilities include 3D geometry reconstruction, segmentation, inspection, active perception, viewpoint planning, multi-sensor fusion, GPU acceleration, hardware-software integration, debugging, and deployment support. The role works directly with physical robots and sensors, assists application teams with proofs of concept and deployments, and travels to customer sites for system-level troubleshooting.

Owns NODA AI’s export and trade compliance program, including ITAR/EAR classifications, DDTC and BIS licenses, restricted-party screening, foreign-person controls, technology transfer reviews, customs compliance, training, audits, government submissions, and audit-ready records. Partners with engineering, security, contracts, finance, HR, and outside counsel to protect controlled information and maintain regulatory compliance across defense technology operations.

Lead Brigit's product organization across product management, design, and research. Own product vision, roadmaps, and outcomes (acquisition, conversion, engagement, monetization). Build and scale cross-functional teams, drive data-informed experimentation, and partner with engineering, data, and marketing to optimize product velocity and business metrics in a regulated consumer fintech environment.

Build and deploy production-grade AI and machine learning solutions within regulated customer environments. Develop specialized AI workflows, model deployment and monitoring systems, cloud and data integrations, applications, CI/CD extensions, and secure platform solutions. Advise data science teams, lead customer engagements, troubleshoot infrastructure, create reusable delivery materials, and provide product feedback to engineering, support, and product teams.

Owns sales activity across Greater Los Angeles, developing territory and account plans, expanding channel partnerships, acquiring enterprise customers, managing complex sales cycles, preparing proposals, forecasting pipeline, and driving year-over-year revenue growth for security solutions.

Lead Hebbia’s business operations as a team of one, overseeing board preparation, company planning, pricing and consumption economics, GTM analytics, and resource allocation. Build financial and customer-unit-economic analyses, guide pricing and deal decisions, coordinate planning and QBRs, and turn executive recommendations into operating changes. Partner closely with Finance, Product, Engineering, Sales, and Marketing while influencing strategic investments, margins, headcount, and commercial policies.

Manages sourcing and vendor partnerships for physical product development and commercialization. Responsibilities include qualifying suppliers, managing RFQs, prototypes, samples, and test orders; coordinating cross-functional projects; monitoring supply chain risks, budgets, quality, and lead times; negotiating pricing; and improving supplier capabilities. The role requires project management, physical product launch experience, supply chain knowledge, domestic travel, and familiarity with print manufacturing, fulfillment providers, Six Sigma, and lean methodologies.

Own the post-sale customer lifecycle for a portfolio of B2B SaaS customers, including onboarding, adoption, retention, expansion, and churn mitigation. Build trusted relationships with Operations and Finance stakeholders, provide purchasing and payments guidance, drive revenue and net retention, monitor support risks, and translate customer feedback into product improvements. Collaborate cross-functionally to identify strategic opportunities and strengthen customer advocacy.