Customer Engineer at Mixpanel

About Mixpanel

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.

About the Customer Engineering Team

Mixpanel’s Customer Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive business outcomes. You will partner closely with Account Executives, Customer Value Architects, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

Our Customer Engineers are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to senior executives.

In your first month, you’ll become a Mixpanel expert—both in features and functionality as well as implementation. You’ll shadow customer calls and demos with current Customer Engineers and Account Executives while learning to articulate our value proposition, and be trained on Mixpanel’s internal systems and tools.

Within your first three months, you’ll be directly involved in deal cycles with Account Executives. You’ll lead the technical qualification for customer use cases and deliver customized demos for prospects and existing customers, working directly with leadership at the prospect’s organization to understand business challenges that can be solved through an analytics platform.

You’ll also work with the prospect’s business and technical teams to scope and execute proof-of-concept projects to establish Mixpanel’s value—including consulting on data ingestion methods, overall architecture, success criteria, and rollout strategies for analytics tools across an organization.

Responsibilities

• 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 organization to earn trust and influence buying decisions
• Bridge the technical-business gap—working with senior stakeholders to define success for proofs-of-concept and ensuring successful execution and outcomes
• Leverage your 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
• Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team

We’re Looking For Someone Who Has

• Fluency in business and conversational Spanish and English
• The ability to communicate with stakeholders at all levels—from discussing APIs with developers to organizational efficiency with CIOs
• A demonstrated track record of qualifying and selling technical solutions to executive stakeholders
• 6+ years of experience in a Software-as-a-Service Sales Engineering or related role
• Experience in data querying, modeling, 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
• The ability to travel as needed

Bonus Points For

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