Senior Solutions Consultant, Customer Data Platform

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

Rokt mParticle is a customer data platform serving hundreds of global brands, built on an end-to-end streaming architecture. mParticle merged with Rokt in January 2025.

We are hiring a Senior Solutions Consultant, Customer Data Platform

You are the technical owner of a portfolio of enterprise Rokt mParticle accounts, some of the largest consumer brands in the world, running real-time customer data pipelines at serious scale. A Customer Success Manager holds the commercial relationship, you hold the technical one.

You will be technically hands-on, building demo environments, validating integrations, writing transformation logic and debugging pipelines. You will also be regularly in front of customers, from the engineers doing the build up to directors and VPs across engineering, data science, analytics, and product.

Compensation

Target total compensation ranges from $213k - $254k, comprised of a fixed annual salary of $174k - $215k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities

• Own the technical relationship across a portfolio of enterprise CDP accounts, partnering with Customer Success and Technical Services Engineering on adoption, escalations, and expansion.
• Advise on implementation design and new use cases, grounded in what you know about each customer's architecture, infrastructure and constraints.
• Lead recurring technical reviews and roadmap conversations with client engineering and data leadership.
• Troubleshoot integration failures across web, mobile and server-side SDKs, APIs and partner integrations, working directly with client engineering teams.
• Write scripts and transformation rules for customer implementations, and build demo and test environments that replicate real use cases, using AI to move quickly on both.
• Support pre-sales on scoping, demos and technical validation, and build the reusable assets the wider Solutions and Sales teams run on.