Haus

Staff Backend Engineer building distributed data-platform services, ingestion workflows, APIs, and validation pipelines that automate customer data onboarding. Requires 4+ years of backend experience, with strong Python, SQL/dbt, orchestration, cloud warehouse, and infrastructure skills.

Leads the build-out of Haus’s enterprise demand engine, owning ICP, ABM programs, channel strategy, budget, measurement, and pipeline generation. The role requires 6–10 years of demand-generation experience, enterprise sales expertise, analytical strength, and close Sales partnership.

Staff-level engineer leading backend services and data-platform architecture, including large-scale ingestion, distributed systems, and trustworthy BigQuery/dbt warehouse models. Requires 10+ years of software engineering experience, expert Python, deep SQL/dbt expertise, and strong technical leadership.

Staff Machine Learning Engineer building and operating production ML systems for causal marketing measurement, optimization, and planning. The role requires deep statistical and machine learning expertise, production programming experience, cross-functional collaboration, and technical mentorship.

Own customer-facing causal marketing measurement engagements, from model configuration and QA through interpretation, recommendations, escalations, and enablement. The role requires direct MMM experience, marketing experimentation knowledge, and strong customer communication skills.

Measurement Strategy Manager partners with customers to design and execute incrementality experimentation roadmaps, translate test learnings into budget and strategy decisions, and drive ROI through causal measurement at Haus. Requires 4+ years in growth marketing or marketing science with ownership of budget decisions, paid media fluency, and customer-facing experience.