Jobs at Haus.io

Leads Haus’s enterprise sales team and revenue target, including pipeline generation, forecasting, strategic negotiations, complex deal execution, seller recruiting and development, qualification discipline, and enterprise account strategy. Partners with Marketing, Product, Science, Engineering, Customer Success, and Partnerships to improve go-to-market execution, pricing, packaging, and roadmap decisions. Coaches sellers on communicating technical marketing measurement value to senior business and technical stakeholders.

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.

Own marketing measurement models for multiple customers, partnering with strategy managers from kickoff through model release, interpretation, enablement, and action planning. Configure and QA model inputs and outputs, manage escalations, deliver deep-dive analyses and scenario work, and support renewals and account growth. Build scalable playbooks, documentation, and AI-assisted workflows while translating complex measurement results into actionable budgeting and campaign decisions. Provide customer feedback to product, science, and engineering teams and support pre-sales and case studies.

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.

Own marketing measurement models for multiple customers, including configuration, QA, updates, interpretation, escalation support, and action planning. Partner with strategy managers to translate causal MMM results into budgeting and campaign decisions. Develop scalable playbooks, documentation, AI-assisted workflows, and customer-facing analyses that support value realization, renewals, pre-sales, and product feedback. Requires strong MMM, incrementality testing, customer communication, and analytical problem-solving experience in an ambiguous startup environment.