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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