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Haus Analytics

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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. 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 are remote-friendly; however, candidates based in commutable distance (50 mi?) to SF, Seattle, and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. Haus is an equal opportunity employer. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.

4 open rolesTeam 51-200Latest: Mar 26, 2026, 5:01 PM UTC
Software Development
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4 Jobs

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Manager, Account Management

Haus Analytics

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. 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 are remote-friendly; however, candidates based in commutable distance (50 mi?) to SF, Seattle, and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. Haus is an equal opportunity employer. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.

Account Manager113 days ago

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! About the Role We're building a dedicated Account Management function at Haus for the first time, and this role will lead it. As Manager of Account Management, you will own the team's aggregate retention, gross renewal rate, and expansion targets across a growing book of business. You'll hire, coach, and develop a team of 4–6 Account Managers, establish the operating rhythms and playbooks that make renewals and expansions repeatable, and partner closely with Sales, Measurement Strategy, Product, CX, and Marketing leadership to drive customer outcomes and commercial results. This is a building role. You'll inherit a talented founding team and a strong product, but much of the infrastructure — processes, enablement, forecasting cadences, and cross-functional workflows — is yours to design. Initially, you may also carry a small number of strategic accounts directly, with the mix shifting toward full-time team leadership as the function scales. What You'll Do Lead and develop the Account Management team - Hire, onboard, coach, and retain a team of 4–6 Account Managers. Set clear expectations, run regular 1:1s and pipeline reviews, and create an environment where AMs do the best work of their careers. - Own the team's aggregate quota for retention, gross renewal rate, and expansion (including cMMM upsells and future product launches). You are accountable for the number. Build the function from the ground up - Design and implement the operating model for Account Management at Haus: account planning frameworks, renewal and expansion playbooks, QBR/EBR templates, health scoring, and forecasting cadences. - Establish clear rules of engagement between Account Management, Measurement Strategy, Sales, CX, and Product — ensuring customers experience a coordinated, high-quality Haus team. Drive strategic account outcomes - Maintain direct involvement in the team's highest-stakes renewals, expansions, and escalations. Know when to coach from behind and when to step into the room. - Guide AMs on deal strategy, stakeholder mapping, multi-threading, pricing, and negotiation — particularly on complex accounts with competing buyer personas or budget pressure. Partner cross-functionally - Work hand-in-hand with Measurement Strategy leadership to ensure AMs and their MS counterparts operate as true account teams — sharing context, aligning on priorities, and presenting a unified front to customers. - Collaborate with Sales leadership on handoff processes, territory design, and GTM planning. Partner with Product and CX to bring customer feedback into the roadmap and service model. Create visibility and rigor - Maintain accurate forecasts, pipeline views, and account health dashboards. Provide Sales and company leadership with clear, reliable visibility into renewal and expansion performance. - Use data to identify trends, risks, and opportunities across the book — and translate those insights into team-wide actions. Qualifications Must-Haves - 7–10+ years of experience in account management, customer success, or post-sales roles in B2B SaaS, with at least 2–3 years directly managing a team of quota-carrying AMs or CSMs. - Proven track record of building or scaling an AM/CS function — designing processes, playbooks, and operating cadences, not just inheriting them. - Demonstrated history of hitting or exceeding team-level retention and expansion targets. You know how to inspect a pipeline, coach a deal, and call a forecast. - Experience working with marketing, growth, or analytics buyers. You can credibly engage with senior marketing and data science stakeholders and understand their priorities. - Strong commercial instinct — you know how to structure renewals, sequence expansion conversations, navigate procurement, and handle discount pressure without reflexively giving margin away. - Ability to partner effectively with technical and strategic counterparts (e.g., data science, measurement, or analytics teams) and to translate technical value into commercial outcomes. - Exceptional communication skills — you can present to executives, coach your team on storytelling with data, and write a crisp account plan or internal brief. - High ownership and comfort operating in a fast-moving, ambiguous, high-growth environment where you'll need to build while you run. Nice-to-Haves - Experience in marketing measurement, incrementality testing, MMM/cMMM, or ad-tech — or comfort quickly learning technical product domains. - Background in performance marketing, media buying, or growth organizations, either working in them or selling into them. - Experience at an early-stage or high-growth startup, particularly in a role where you built post-sales GTM infrastructure for the first time. - Familiarity with Salesforce or similar CRM tools, with a disciplined and data-driven approach to forecasting and pipeline management. How You'll Succeed Here - You care as much about developing your people as you do about hitting the number — and you understand that in the long run, those are the same thing. - You're a builder. You get energy from designing a process, testing it, iterating, and scaling what works — not from managing a mature, already-optimized machine. - You lead with context, not control. You set clear expectations and give your team the autonomy and support to execute, stepping in decisively when the situation calls for it. - You collaborate deeply with Measurement Strategy and CX leadership, treating them as strategic partners in how Haus shows up for customers. - You operate with speed, clarity, and intellectual honesty — surfacing problems early, making decisions with imperfect information, and raising the bar for the GTM org. 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 are remote-friendly however candidates based in commutable distance to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. 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.

United States
$260K - $280K / year
Haus Analytics logo

Senior Software Engineer, Data Platform

Haus Analytics

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. 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 are remote-friendly; however, candidates based in commutable distance (50 mi?) to SF, Seattle, and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. Haus is an equal opportunity employer. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.

Data Engineer115 days ago

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! What you'll do: This is a unique opportunity to help us build robust and scalable systems and services that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do. The ideal candidate is somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus. Responsibilities - Build data solutions on top of Google Cloud Platform (GCP) using Python and other languages as appropriate. - Contribute to the technical direction and development of Haus’ data services, infrastructure and tools. - Create and maintain scalable data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs. - Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary - Create dashboards and reports to support business objectives and enable data-driven decision making - Partner with data scientists, engineers, and product teams to accomplish all of the above! Qualifications - 4-7+ years of experience as a Software Engineer. - Experience building and deploying large-scale distributed systems in Python or Go: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags. - Experience with cloud infrastructure (Google Cloud, AWS, etc). - Experience building ETL/ELT data pipelines - batch and realtime - Experience working with SQL and NoSQL databases. Bonus points - Earlier stage startup experience. - Experience with data warehouses: Snowflake, BigQuery, RedShift. - Experience with data workflows and tools: dbt, dagster. - Experience with Third party data APIs integrations - Experience with build systems and infrastructure management tooling like Terraform. - BS/MS/PhD in Computer Science, Applied Mathematics or a related field. What we offer We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. 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 are remote-friendly however candidates based in commutable distance (50 mi?) to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. 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.

United States
$200K - $220K / year
Haus Analytics logo

Demand Generation Lead

Haus Analytics

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. 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 are remote-friendly; however, candidates based in commutable distance (50 mi?) to SF, Seattle, and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. Haus is an equal opportunity employer. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.

Lead Generation116 days ago

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! What you'll do As Haus scales, we are investing in building a repeatable, programmatic demand engine. This role will be critical in turning our marketing initiatives into coordinated campaigns that consistently generate pipeline. As Demand Generation Lead, you will work as an individual contributor to build and operate the campaign engine that drives the marketing-sourced pipeline at Haus. You’ll own the development and execution of integrated marketing programs that turn product launches, content, events, and sales plays into scalable pipeline. You’ll partner closely with Product Marketing, Content, Field Marketing, Sales, RevOps, and external agencies to launch coordinated campaigns that drive awareness, engagement, and qualified meetings with our target accounts. This is a highly cross-functional role for someone who enjoys building programs from scratch, experimenting with new approaches, and turning marketing initiatives into measurable pipeline. Responsibilities - Build and operate Haus’s integrated campaign engine across digital, lifecycle, and account-based programs. - Plan and execute integrated campaigns including report launches, webinar programs, account-based plays, field event amplification, and nurture programs. - Partner with Product Marketing and Content to turn launches and assets into full-funnel campaigns. - Coordinate with Sales and SDR teams on targeted account programs and outbound-supported campaigns. - Design and execute lifecycle programs including nurture sequences and re-engagement campaigns. - Partner with paid media agencies to brief campaigns and ensure paid programs support broader campaign goals. - Track campaign performance and optimize programs based on pipeline generation, meeting creation, and campaign ROI. Qualifications - 4–7 years of experience in demand generation, growth marketing, or integrated campaigns at a B2B SaaS company. - Experience running integrated campaigns across multiple channels including webinars, lifecycle, events, and digital programs. - Strong understanding of pipeline generation and how marketing contributes to revenue outcomes. - Experience collaborating closely with sales teams and supporting outbound or account-based programs. - Comfortable working in marketing automation and CRM tools (e.g. HubSpot, Salesforce). - Strong bias toward action and ability to execute quickly in a fast-moving environment. Bonus Points - Any experience marketing to growth marketers or marketing to DTC organizations - Experience working at a Series B–C SaaS startup or similar growth-stage company. - Experience coordinating campaigns with external paid media agencies. - Familiarity with tools like Clay, HockeyStack, or modern marketing analytics platforms. - Experience running ABM or account-based sales support campaigns. 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 are remote-friendly however candidates based in commutable distance (50 mi?) to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. 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.

United States
$160K - $180K / year
Haus Analytics logo

Senior Data Analyst

Haus Analytics

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. 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 are remote-friendly; however, candidates based in commutable distance (50 mi?) to SF, Seattle, and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. Haus is an equal opportunity employer. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.

Data Analyst121 days ago

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! What you'll do You’ll be the first dedicated analytics hire at Haus, working directly with the Director of Data & Analytics to build the analytics function. This is a high-leverage role: you’ll touch everything from GTM pipeline reporting to product engagement analysis to the dbt models and warehouse layer underneath. We’re looking for a true generalist who can context-switch fluidly, move fast with modern AI-assisted tooling, and translate data into decisions that executives and cross-functional partners actually act on. Responsibilities GTM Analytics - Build and own pipeline, conversion, and ROI analytics in partnership with Revenue Operations, Marketing, Sales, and Customer Success. - Develop forecasting models for new business acquisition and retention cohorts. - Stand up and own the data warehouse and metric layer (Fivetran for pipelines, dbt for transformations) with GTM as the first domain. - Build scalable, well-tested dbt models that serve as the single source of truth for business metrics. Product Analytics - Analyze feature adoption, engagement patterns, and retention indicators across the product surface. - Build customer health views—both at a portfolio level and drilled into specific product areas. - Partner with Product and Engineering to instrument events and ensure data quality at the source. - Extend the dbt layer and BI tooling (Looker, Mode, Hex, or Tableau) to serve self-serve product analytics across the org. Stakeholder Partnership - Partner with cross-functional leaders (GTM, Product, Finance, Exec team) to embed data into daily decisions. - Translate complex analysis into clear, exec-ready narratives—not just dashboards. - Champion data literacy and build a self-serve analytics culture across the org. Qualifications - 4–7 years in analytics, data, or analytics engineering roles (B2B SaaS strongly preferred). - Hands-on fluency in SQL and dbt; comfort with data modeling and warehouse architecture. - Experience with modern ELT tools (Fivetran or equivalent) and at least one BI platform (Looker, Mode, Hex, Tableau). - Already using AI-assisted coding tools (Claude Code, Codex, etc.) in your day-to-day work. Not just experimenting, but relying on them to ship faster. - Strong stakeholder communication: you can present to a CRO on Monday and pair with an engineer on Tuesday. - Comfort operating as the first analytics hire—you thrive with ambiguity, ownership, and building from zero. Bonus Points - Python proficiency for analysis, scripting, or lightweight ML/statistical modeling. - Experience standing up or significantly evolving a data warehouse (not just inheriting one). - Familiarity with product analytics instrumentation (Rudderstack, Segment,, or similar). - Prior experience in an early-stage or high-growth startup. - Exposure to AI/ML applications in GTM or product analytics (propensity models, lead scoring, churn prediction). 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 are remote-friendly however candidates based in commutable distance (50 mi?) to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. 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.

United States
$150K - $190K / year
Job Closed