Customer Implementation Consultant

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

Requirements

• 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.

Core Competencies

Demonstrates expertise in customer onboarding processes, data troubleshooting, and SQL query execution while effectively collaborating with cross‑functional teams to enhance customer experiences. Proficient in applying AI tooling for workflow improvements and managing complex onboarding projects with attention to detail.