Customer Success Engineer /
Manchester
(hybrid, Northwest based) | Up to £60,000 + benefits | Go-to-market team
About the company
Fast-growing, investor-backed data and AI consultancy in central Manchester. The business designs, builds and manages enterprise-grade data platforms, productised on Snowflake, plus the AI use cases built on top.
The opportunity
The company is adding a technical seat to its go-to-market team. Working alongside the customer success manager, you come in once the client's requirements are captured, then scope and build a tangible solution and product demo that shows the client what is possible. Think of it as a forward deployed engineer style role, without the requirement to be a full software developer.
Today, building demos depends on the CTO's time, which is a bottleneck. Your job is to remove that: turn a client's needs into something real and demonstrable at pace, using modern AI and low-code tooling, and put it in front of the client while the opportunity is warm.
What you'll be doing
Taking captured client requirements and scoping what the solution could look like Building tangible prototypes and product demos to support pre-sales, at speed Identifying opportunities, risks and dependencies within a client's environment Partnering with the customer success manager and the go-to-market team through the pre-sales cycle Removing the reliance on senior engineering time to produce demos What we're looking for
Experience in a customer-facing technical role: pre-sales, sales engineering, solutions consulting, implementation or customer success engineering The ability to scope a solution and build a working demo that communicates value to a stakeholder A prototyping mindset: you would rather show something working than write a specification Familiarity with the modern data and AI landscape (cloud data platforms, SaaS, AI tooling); Snowflake ecosystem experience is a bonus, not a requirement You do not need to be a full-time developer; speed, curiosity and communication matter more Technical skills
Essential
Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able to build and present a working demo or prototype at pace, including with modern low-code and AI tooling Comfortable translating a technical solution into plain business value for a non-technical stakeholder Desirable
Hands-on with a BI or visualisation tool (Power BI, Tableau, Qlik or Looker) Some Python for data manipulation and scripting Familiarity with cloud platforms (AWS or Azure) and connecting source systems such as CRM and ERP via APIs Exposure to modern AI tooling (LLMs, copilots, Snowflake Cortex or similar) Snowflake ecosystem experience Note : We are looking for breadth and speed, not deep data-engineering specialism. SQL and the ability to build a compelling demo matter more than any single tool on the desirable list.
Why join
A newly created role with real influence over how Assured wins and delivers A small, senior go-to-market team with direct access to leadership A fast-moving environment where demos ship in days, not months Hybrid working from a central Manchester base
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Locations
Customer Sales Engineer in Cheshire, Warrington employer: True Worth Consulting Ltd
Join a fast-growing, investor-backed data and AI consultancy in the heart of Manchester, where you will play a pivotal role as the first dedicated Customer Success Manager. With a strong emphasis on relationship-building and client advocacy, you'll enjoy a supportive work culture that values your input and offers direct exposure to leadership, alongside opportunities for professional growth in a dynamic environment. Benefit from hybrid working arrangements and the chance to shape customer success processes from day one, all while being part of a team that genuinely cares about delivering value to clients.
