You will lead the content marketing strategy, overseeing end-to-end production and distribution to drive awareness and business growth. You will also collaborate across departments to maintain thought leadership and analyze key performance metrics.
Lead, mentor, and grow high-performing engineering teams while guiding architectural decisions for complex, distributed software systems. Collaborate with cross-functional partners to ensure the seamless execution of projects and drive a culture of engineering excellence.
You will own the vision, strategy, and execution for transforming the platform into an agentic-led solution for proposal automation. This involves driving discovery, collaborating with engineering to build AI agents, and ensuring successful adoption post-launch.
The Revenue Operations Specialist manages GTM data accuracy, governance, and system administration across the revenue lifecycle. They are responsible for building dashboards, supporting forecasting models, and ensuring seamless handoffs between Sales, Marketing, and Finance.
The role involves building and productionizing core ML components, focusing on LLM and NLP models for search, summarization, and generative tasks by developing optimized pipelines and prompt strategies. Responsibilities also include designing scalable ML services and inference pipelines in Python, ensuring robust engineering discipline through testing and observability.
