Customer Implementation Consultant

Haus

$90K — $120K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in a customer-facing SaaS role, preferably in onboarding or data analytics implementation.
  • Experience working with Product, Data, Science, and Engineering teams to resolve issues impacting customers.
  • Hands-on familiarity with admin tooling and data troubleshooting, specifically understanding data warehouse connections.
  • Basic SQL query writing and execution skills.
  • Track record of using AI tools for problem-solving and improving workflows.

Responsibilities

  • Independently manage end-to-end onboarding for complex GeoLift accounts, prioritizing tasks and flagging risks.
  • Conduct Data Onboarding Calls, proactively identifying and addressing data risks.
  • Oversee cMMM onboarding processes, including setup guidance and customer education.
  • Explore and prototype AI solutions for recurring onboarding tasks, documenting effective techniques.
  • Collaborate with Measurement Strategy Managers to align onboarding with customer measurement strategies.
  • Create detailed bug reports and work with cross-functional teams for resolution.

Benefits

  • Flexible PTO for optimal work-life balance.
  • Equity options reflecting startup ownership in success.
  • Comprehensive health, dental, and vision plans with multiple selections.
  • Stipend for home office setup to enhance productivity.
  • In-person events and offsites to foster team connections.
  • Free lunch provided at office locations.
  • New Parent Leave policy to support family growth.
Full Job Description
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 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

We're a customer-obsessed, high-ownership team focused on driving impact and learning fast. Our environment rewards curiosity, adaptability, and a bias toward action - especially when it helps us better serve our customers. If you're energized by solving dynamic problems, enjoy working in lean, collaborative teams, and thrive in ever-evolving environments, you'll feel at home here. We invest in exceptional people who want to grow quickly and help shape the future of the company.

Some of our benefits include:
  • Flexible PTO - take time when you need it!
  • Equity - Startup environment with part-ownership in our successes
  • Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
  • WFH stipend to support the set up you need to be productive
  • Events & Offsites - opportunities to connect and celebrate in real life!
  • Free Lunch - Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
  • New Parent Leave - take time to welcome your newest Hausmate

We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City.

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