Senior Customer Engineer - LATAM

Remote, US (Remote) · Mexico · Remote · 6+ years experience · Remote · Posted Sep 28, 2026

At a glance

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

The Senior Customer Engineer for LATAM acts as an analytics consultant embedded within enterprise customer teams to drive business outcomes.
This role serves as the technical counterpart to the Sales organization, managing deal cycles, technical qualifications, and proof-of-concept projects.
The position requires bridging the gap between technical requirements and business value for stakeholders ranging from developers to senior executives.

Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.
Communicate and consult effectively at all levels of the customer's organisation to earn trust and influence buying decisions.
Bridge the technical-business gap by working with senior stakeholders to define success for proofs-of-concept.
Leverage Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.
Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.
Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results.
Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business.
Collect feedback from potential customers and share it with the Product team as the 'Voice of the Prospect'.

Fluency in business and conversational Spanish and English.
6+ years of experience in a Software-as-a-Service Sales Engineering or related role.
Experience in data querying, modelling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools.
Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks).
A successful record of experience 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.

Experience with value engineering frameworks: translating customer pain into quantified business outcomes, building ROI calculators, and leading executive-level value conversations.
Exposure to product-led growth (PLG) environments and sales-assisted conversion motions.
Background in high-growth SaaS environments (Series B–E or beyond).