Teams at Haus.io

Own the strategy and execution of Haus’s enterprise demand generation engine. Responsibilities include defining ICP and segmentation, developing ABM programs, managing paid, content, email, events, webinars, and sponsorships, and partnering with Sales and Product Marketing. The role owns pipeline targets, budget, attribution, funnel reporting, and performance measurement while managing one direct report and agency relationships. This hands-on position builds demand generation infrastructure and repeatable enterprise pipeline from the ground up.

Lead the design, development, optimization, and productionization of machine learning systems, particularly causal marketing mix modeling (cMMM). Build reusable statistical libraries and scalable ML pipelines, implement probabilistic techniques and agentic workflows, review designs and code, collaborate cross-functionally, and mentor ML engineers. The role requires expertise in production ML systems, statistical modeling, experimentation, and object-oriented programming.

Own marketing measurement models for multiple customers, from configuration and QA through interpretation, updates, escalations, and action planning. Partner with strategy managers to translate causal MMM results into budgeting and channel decisions, protect revenue through high-quality deliverables, build scalable playbooks, supervise AI workflows, and provide customer feedback to product, science, and engineering teams.