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Mixpanel is a leading product intelligence and analytics platform trusted by 29,000+ companies. The Customer Engineering team serves as analytics consultants embedded within enterprise customer organizations to drive business outcomes throughout the customer journey.
In this role, you will partner closely with Account Executives, Customer Value Architects, Product, Engineering, and Support teams to deliver self-serve analytics solutions, manage customer change initiatives, execute technical projects, and drive ROI on Mixpanel investments.
Your first month focuses on becoming a Mixpanel expert through shadowing customer calls, demos, and learning internal systems. Within three months, you'll lead technical qualifications for customer use cases, deliver customized demos to prospects and existing customers, and work directly with prospect leadership to understand business challenges solvable through analytics.
Key responsibilities include:
- Serve as a trusted technical advisor on data architecture, governance, instrumentation, and business outcomes
- Communicate effectively at all organizational levels to earn trust and influence buying decisions
- Bridge technical-business gaps by defining and ensuring successful proof-of-concept execution
- Leverage Mixpanel expertise to impart best practices throughout projects
- Partner with Account Executives to drive revenue growth as the key technical contact
- Collaborate with post-sales teams to translate pre-sales value into tangible results
- Develop relationships with key technical stakeholders in your assigned customer base
- Collect and share prospect feedback with the Product team
Requirements:
- Fluency in business and conversational Spanish and English
- Ability to communicate with stakeholders at all levels—from developers discussing APIs to CIOs discussing organizational efficiency
- Demonstrated track record of qualifying and selling technical solutions to executive stakeholders
- 6+ years of experience in Software-as-a-Service Sales Engineering or related role
- Experience in data querying, modeling, and transformation using SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools
- Familiarity with databases and cloud data warehouses (Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks)
- Successful record in sales engineering, consulting, or technical project management
- Excellent written, analytical, communication, and presentation skills
- Strong process and project delivery discipline
- Proficiency with AI tools such as Claude, Claude Code, Gemini
- Ability to travel as needed
Bonus qualifications:
- Experience with value engineering frameworks and ROI calculators
- Exposure to product-led growth (PLG) environments and sales-assisted conversion motions
- Background in high-growth SaaS environments (Series B–E or beyond)
