SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Mixpanel is a leading product intelligence and analytics platform trusted by over 29,000 companies. The Customer Engineering team serves as analytics consultants who embed within enterprise customer organizations 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 teams to help customers successfully implement self-serve analytics, manage organizational change, execute technical projects, and maximize ROI on their Mixpanel investment.
Your responsibilities include:
- Serving as a trusted technical advisor for prospects on data architecture, governance, instrumentation, and business outcomes
- Communicating effectively at all organizational levels to earn trust and influence buying decisions
- Bridging the technical-business gap by working with senior stakeholders to define and ensure successful proof-of-concept execution
- Leveraging Mixpanel expertise to impart best practices throughout POC projects
- Partnering with Account Executives to drive revenue growth as the key technical contact
- Collaborating with post-sales teams to ensure pre-sales value propositions translate to tangible results
- Developing relationships and uncovering needs of key technical stakeholders in your assigned territory
- Acting as the "Voice of the Prospect" by collecting and sharing customer feedback with the Product team
In your first month, you'll become a Mixpanel expert through shadowing calls and demos. Within three months, you'll lead technical qualifications, deliver customized demos, and scope proof-of-concept projects with prospects' business and technical teams.
Requirements:
- Fluency in business and conversational Spanish and English (required)
- 6+ years of experience in SaaS Sales Engineering or related role
- Demonstrated track record of qualifying and selling technical solutions to executive stakeholders
- Experience in data querying, modeling, and transformation using SQL, dbt, Python, BI 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) and sales-assisted conversion motions
- Background in high-growth SaaS (Series B–E or beyond)
