Overview
Senior Customer Engineer on Mixpanel's Customer Engineering team, acting as an analytics consultant and technical counterpart to Sales for enterprise customers and prospects.
What you'll do
- 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 and ensuring successful execution and outcomes
- 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
- Be the "Voice of the Prospect" by collecting feedback from potential Mixpanel customers and sharing it with the Product team
What you'll need
- Fluency in business and conversational Spanish and English
- The ability to communicate with stakeholders at all levels, from discussing APIs with developers to organisational 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, 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
- The ability to travel as needed
Nice to have
- 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)
Details
- Remote, US (Remote)
- Benefits for contract positions will vary
Read the full description and apply on the company’s own careers page.