Customer Implementation Consultant

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 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).

What We Offer

• Flexible PTO.
• Equity.
• Top of the line health, dental, and vision insurance.
• WFH stipend.
• Events & Offsites.
• Free Lunch (in office).
• New Parent Leave.