Customer Implementation Consultant

About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. WHAT YOU’LL DO As an Implementation Consultant (Internal title: Customer Success Onboarding Manager) at Haus Analytics, you’ll be a dependable, experienced contributor who handles complex onboardings end to end. You’ll take ownership of cMMM onboardings in addition to GeoLift, use Retool and SQL to investigate data issues, and work directly with Product, Data, Science, and Engineering to move fixes forward. You’ll write clear, reusable documentation, strengthen team resources, and exercise judgment in managing priorities across a larger book of concurrent onboardings. You’ll model Haus values through direct communication, steady progress, and thoughtful experimentation. ROLES & RESPONSIBILITIES: - 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…