Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Provide technical and functional expertise during the sales process, deliver platform demonstrations, RFP assistance, IT workshops, and training; advise sales teams, manage accounts with travel, and help scale product knowledge across the organization.
Top Skills:
AribaConcurCoupaEprocurementExpense ManagementGreat PlainsIvaluaNetSuiteOracleSaaSSAPSource-To-Pay
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Sr. Customer Value Manager leads customer engagement, develops mutual success plans, and ensures customer value through strong relationships and strategic guidance across various industries.
Top Skills:
Business Spend ManagementData AnalyticsSource-To-Pay
Big Data • Cloud • Fintech • Information Technology • Financial Services
The Senior Associate in Technology Operations monitors the production environment, reviews processes, drives improvements, and ensures operational readiness, with responsibilities across various technical platforms and teams.
Top Skills:
AWSControl MIbm JclItilLinuxMqStorageUc4UnixWindows
About Haus
Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision. Over $360B 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 re-allocate it to maximize growth.
Haus was built by a team of former product managers, economists, and engineers from Google, Netflix, Meta, and others to make high-quality decision science accessible to businesses of all sizes. By automating the heavy lifting of experiment design, data processing, and insights generation, we empower our customers to make more profitable, data-driven decisions. We hear our customers frequently rave about our product, for example "we've seen north of 10x ROI on our annual investment in Haus in the first 2 months alone.”
Haus is on a hypergrowth trajectory, 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 and has made the list for 2025's exceptional startups!
What You'll Do
Haus is seeking a highly motivated and analytical Revenue Operations Analyst to join our dynamic team. The ideal candidate will have a strong background in marketing operations tools and processes, coupled with a proven ability to derive actionable insights from data and present them clearly. You will play a critical role in optimizing our marketing funnel, improving data integrity, and providing key insights to inform strategic decisions across the revenue organization.
Responsibilities:
- Marketing Analytics: Design, build, and maintain dashboards in Tableau to track key marketing and sales performance indicators including funnel conversion rates, velocity, and customer acquisition cost.
- Marketing Efficacy: Develop marketing attribution models to accurately measure and drive the impact and ROI of various marketing channels and campaigns.
- Pipeline Forecasting: Collaborate marketing channel owners to provide data-driven insights that support pipeline generation forecasting.
- Campaign Operations: Support the execution of marketing campaigns by managing lists, segmentation, and ensuring proper tracking and data capture.
- Lead Management & Conversion: Oversee and refine lead scoring and outreach processes to ensure high-quality leads are efficiently passed to the sales team. Collaborate with marketing and sales teams to establish and maintain Service Level Agreements (SLAs).
- Data Governance: Champion data integrity within marketing systems. Develop and implement data quality standards, conduct regular audits, and manage data enrichment processes.
Qualifications
- Bachelor’s degree in Marketing, Business, Economics, Statistics, or a related field.
- 4+ years of experience in a Revenue Operations, Marketing Operations, or Data Analyst role, preferably in a startup/B2B SaaS business.
- Experience with Hubspot (marketing automation) and Salesforce (CRM)
- Experience developing dashboards in data visualization tools (Tableau)
- Proficiency in Excel/Google Sheets
What We Offer
- Competitive Compensation: Competitive salary and startup equity
- Comprehensive Benefits: Top-of-the-line health, dental, and vision insurance
- Retirement Plan: 401(k) plan to help you save for the future
- Tools and Resources: We'll provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
- Impactful Work: Small team with a big impact on the overall company success.
- Professional Growth: Opportunities for professional development and career advancement in a rapidly scaling startup
- Collaborative Culture: Work alongside a talented team from leading tech companies in a supportive and inclusive environment
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Haus.io Mountain View, California, USA Office
Mountain View, CA, United States, 94043
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
