Customer Implementation Consultant

About the role

Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision.

What You’ll Do

• Independently own a full book of onboardings including complex GeoLift accounts (data warehouse connections, custom KPIs, opt-out customers, multi-source setups), self-managing prioritization and flagging risks early
• Run complex Data Onboarding Calls, proactively identifying data risks during prep (warehouse complexity, custom KPIs, opt-outs) and shaping the call agenda to address them upfront
• Own cMMM onboardings end-to-end, including non-API spend setup, covariate guidance, and customer education on data requirements and model limitations
• Identify and prototype opportunities to apply AI tooling to recurring Onboarding tasks; bring new techniques to the team and document what works
• Partner with Measurement Strategy Managers to ensure onboarding execution aligns with customer measurement strategy
• Independently reproduce and file detailed bug reports, collaborating with Support, Data, Science, and Engineering teams for resolution and providing context on customer impact
• Build, document, and share knowledge of products, tools, and processes to aid in troubleshooting and team development
• Build and maintain deep subject matter expertise within the evolving Haus product suite, becoming proficient with admin tooling, data troubleshooting, end-to-end Haus app data flows, and able to write basic SQL queries to inspect customer data
• Develop advanced knowledge of incrementality concepts and MarTech workflows, helping connect these concepts to customer onboarding decisions
• Contribute to identifying best-in-class onboarding practices and refining them based on customer patterns and feedback
• Participate in cross-functional projects that advance team, department, and company goals, often serving as the Onboarding representative in collaborative efforts

Additional Qualifications

• 2+ years of experience in a customer-facing SaaS role, with strong preference for backgrounds in onboarding, data/analytics implementation, or technical account management
• Experience partnering with Product, Data, Science, and Engineering teams to resolve customer-impacting issues
• Hands-on experience with admin tooling, data troubleshooting, and understanding data warehouse connections
• Experience writing and executing basic SQL queries
• Proven track record of applying modern AI tooling to technical problem-solving and workflow improvements
• Excellent communication skills, both written and verbal
• Strong problem-solving ability with persistence in driving complex onboardings to resolution
• Detail-oriented with the ability to manage priorities and organize tasks across a larger book of concurrent onboardings
• Adaptability to shifting priorities, evolving processes, and complex technical challenges
• Curiosity and technical aptitude, with a willingness to deepen expertise in the Haus application and internal tools
• Collaborative mindset with the ability to work effectively across teams and contribute to team projects
• Commitment to embodying Haus values of aiming high, communicating directly, and making steady progress

Nice To Haves

• Experience working with large Enterprise clients on contracts that exceed 300K+
• Background in marketing measurement, incrementality, or media mix modeling (cMMM)