Haus.io

HQ
Los Angeles
65 Total Employees
Year Founded: 2021

Jobs at Haus.io

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Recently posted jobs

20 Hours AgoSaved
In-Office
San Francisco, CA, USA
Software
Design and lead backend services and data pipelines for Haus’s data platform, including high-throughput ingestion, distributed systems, normalization, orchestration, data contracts, warehouse and lakehouse modeling, dbt architecture, data quality, lineage, observability, and BigQuery optimization. Set technical direction, establish engineering standards, mentor senior engineers, and collaborate with engineering, product, and data science leadership.
20 Hours AgoSaved
Hybrid
Seattle, WA, USA
Software
Design and lead backend services and data pipelines for Haus’s data platform, including high-throughput ingestion, normalization, orchestration, distributed systems, warehouse modeling, dbt architecture, data quality, lineage, and BigQuery optimization. Set technical standards for testing, APIs, observability, and CI/CD; guide architecture across the GCP stack; mentor engineers; and influence company-wide data strategy while partnering with engineering, product, and data science teams.
5 Days AgoSaved
In-Office
San Francisco, CA, USA
Software
Leads end-to-end development and productionization of machine learning systems for causal marketing measurement and optimization, especially cMMM. Implements probabilistic and statistical methods, builds reusable ML libraries and pipelines, collaborates across engineering, product, and science teams, reviews designs and code, develops agentic ML workflows, and mentors machine learning engineers.
5 Days AgoSaved
In-Office
New York, NY, USA
Software
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.
5 Days AgoSaved
Hybrid
Seattle, WA, USA
Software
Lead end-to-end development and productionization of machine learning systems for causal marketing measurement and optimization, especially cMMM. Build probabilistic and statistical libraries, maintain ML pipelines, implement agentic AI workflows and model validation, review designs and code, collaborate cross-functionally, and mentor ML engineers.
5 Days AgoSaved
Hybrid
Seattle, WA, USA
Software
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.
5 Days AgoSaved
In-Office
New York, NY, USA
Software
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.
5 Days AgoSaved
In-Office
San Francisco, CA, USA
Software
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.
8 Days AgoSaved
Hybrid
3 Locations
Software
Manage a portfolio of customers to design, run, and interpret marketing experiments; translate learnings into budget and strategy decisions; advise on best practices; build stakeholder relationships; partner with Product/Science/Engineering to scale solutions; produce playbooks and support renewals and expansion.