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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 who embed with enterprise customers to drive business outcomes and serve as the technical counterpart to Sales.
In this Senior Customer Engineer role focused on LATAM, you will partner with Account Executives, Customer Value Architects, Product, Engineering, and Support to roll out self-serve analytics within customer organizations, manage change, execute technical projects, and drive ROI on Mixpanel investments.
Your responsibilities include:
- Serve as a trusted technical advisor for prospects on data architecture, governance, instrumentation, and business outcomes
- Communicate effectively at all organizational levels to earn trust and influence buying decisions
- Bridge the technical-business gap by working with senior stakeholders to define and ensure successful proof-of-concept execution
- Leverage Mixpanel expertise to impart best practices throughout POC projects
- Partner with Account Executives to drive revenue growth as the key technical contact
- Collaborate with post-sales teams to ensure pre-sales value propositions translate to tangible results
- Develop relationships and uncover needs of key technical stakeholders within your assigned book of business
- Collect and share prospect feedback with the Product team
In your first month, you'll become a Mixpanel expert through shadowing and training. Within three months, you'll lead technical qualification for customer use cases, deliver customized demos, and scope/execute POC projects including consulting on data ingestion, architecture, success criteria, and rollout strategies.
Requirements:
- Fluency in business and conversational Spanish and English
- Ability to communicate with stakeholders at all levels (developers to CIOs)
- Demonstrated track record of qualifying and selling technical solutions to executives
- 6+ years of experience in SaaS Sales Engineering or related role
- Experience with data querying, modeling, and transformation (SQL, dbt, Python, BI platforms, 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 (Claude, Claude Code, Gemini)
- Ability to travel as needed
Bonus: Experience with value engineering frameworks, product-led growth (PLG) environments, or high-growth SaaS (Series B–E+).
