Customer Implementation Consultant

About Haus

Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth.

With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x.
Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup!

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.

• 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

• 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.

• Experience working with large Enterprise clients on contracts that exceed 300K+

• Background in marketing measurement, incrementality, or media mix modeling (cMMM).

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.
Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.