Senior Solutions Engineer

Mixpanel Mixpanel · Data AI · London, United Kingdom · Solutions Engineering

Mixpanel is seeking a Senior Solutions Engineer to act as a trusted technical advisor for prospects, driving business outcomes through their AI-first digital analytics platform. This role involves partnering with sales, product, and engineering teams to understand customer challenges, deliver customized demos, scope proof-of-concept projects, and consult on data architecture and implementation. The ideal candidate has a strong background in SaaS sales engineering, data querying, and cloud data warehouses, with excellent communication and consultative skills.

What you'd actually do

  1. Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.
  2. Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions.
  3. Bridge the technical-business gap—working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes.
  4. Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.
  5. Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.

Skills

Required

  • SQL
  • dbt
  • Python
  • Business Intelligence platforms
  • Product Analytics tools
  • Google Cloud
  • Amazon Redshift
  • Microsoft Azure
  • Snowflake
  • Databricks
  • SaaS Sales Engineering
  • technical solutions selling
  • data architecture
  • data governance
  • data instrumentation
  • consultative skills
  • communication skills
  • presentation skills
  • analytical skills

Nice to have

  • German language fluency

What the JD emphasized

  • 6+ years of experience in a Software-as-a-Service 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 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)