You will own end-to-end client deployments by integrating AI solutions with hotel systems and driving adoption among commercial teams. Additionally, you will lead, mentor, and scale the forward deployed engineering team as the hospitality business grows.
You will set the technical direction for data science at Overroute, building and scaling AI agents for freight operations. You are responsible for the end-to-end lifecycle of production models, from defining ground truth to monitoring performance and customer impact.
You will design and build foundational systems for AI-powered manufacturing scheduling agents while working across the full stack. You will also lead cloud infrastructure migrations and ensure reliable data integration with customer ERP and MRP systems.
The Venture General Manager will lead a cross-functional team to build and scale an internal data platform while managing the end-to-end product lifecycle. They will act as a strategic partner to corporate stakeholders, driving platform adoption and overseeing the venture's P&L.
You will lead product discovery and execution for an AI-native CPQ platform, working closely with engineering and customers to define features and drive adoption. You are responsible for setting success metrics, writing concise specifications, and managing the product roadmap from discovery through launch.
You will design, train, and deploy machine learning models to solve complex challenges in the oil and gas industry using large-scale datasets. You will collaborate with cross-functional teams to prototype, validate, and productionize AI solutions that drive actionable business intelligence.
You will lead the end-to-end product lifecycle for an AI-native venture, from initial ideation and market discovery to MVP launch and scaling. You will collaborate with engineering, data science, and corporate partners to translate complex technical innovations into high-impact, enterprise-grade SaaS solutions.
You will own the end-to-end modeling foundation, including claims ontology, risk and severity models, and settlement intelligence. You will also serve as the company's thought leader on claims analytics while partnering with engineering and product teams to embed models into live workflows.
You will own the end-to-end product strategy, roadmap, and customer experience for an AI-powered claims intelligence platform. This involves collaborating with engineering, data science, and design partners to translate complex claims workflows into automated, intelligent software solutions.
You will design and maintain ontologies and knowledge graphs to serve as the memory and grounding layer for AI agents. Additionally, you will build data pipelines and integrate these graphs with LLM-based agentic workflows to improve reasoning and accuracy.
The Recruiting Coordinator will manage end-to-end interview scheduling across multiple portfolio companies and maintain the ATS with accurate candidate data. They will also serve as the primary point of contact for candidates and streamline coordination processes using AI tools.
