Customer Implementation Consultant

Jobtailor; California (MO); On-site; USD 85,000 - 120,000; Full time

Job summary

Haus is seeking an onboarding specialist to independently manage complex GeoLift onboarding projects, including data connections and custom KPIs. You will run data onboarding calls, identify data risks, and educate customers on data requirements and model limitations, while applying AI tooling to streamline tasks.

You will collaborate with Product, Data, Science, and Engineering teams to resolve customer-impacting issues, document processes, and build deep expertise in Haus app data flows and

Qualifications

• 2+ years in a customer-facing SaaS role.
• Experience partnering with Product, Data, Science, and Engineering.
• Experience writing and executing basic SQL queries.
• Proven ability to apply AI tooling to workflows.
• Excellent written and verbal communication.
• Detail-oriented with strong prioritization.
• Ability to collaborate across teams.

Responsibilities

• Own and manage a full onboarding book for GeoLift accounts and related data integrations.
• Lead complex Data Onboarding Calls and address data risks upfront.
• Educate customers on data requirements and model limitations.
• Prototype AI tooling solutions for recurring onboarding tasks.
• Collaborate with cross-functional teams to resolve customer-impacting issues.
• Document onboarding processes and share knowledge for troubleshooting.
• Develop SQL queries to inspect customer data and diagnose issues.
• Contribute to best-practice onboarding standards based on feedback.
• Engage in cross-functional projects as onboarding representative.
• Maintain deep product expertise in Haus app data flows.

Skills

Client-facing SaaS onboarding

SQL queries

AI tooling adoption

Cross-functional collaboration

Communication

Problem-solving

Tools

Admin tooling

Data troubleshooting tools

CRM tools

Job description

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.