Junior Pre Sales Engineer

Overview

• Monthly Health & Wellness budget, increasing with length of service
• Annual Learning and Development budget, increasing with length of service
• Flexible working in a choice-first environment - we trust the way you want to work!
• 25 Holiday Days + your local bank holidays, plus an extra day for every year of service
• Your birthday off
• Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave
• Employee Assistance Programme (UK Only)
• The opportunity to share in the company’s success through options
• If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace

Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.

Responsibilities

What you’ll be doing:

• The Junior Pre-Sales Engineer role is primarily focused on the technical delivery of Proofs of Value (PoVs). Success is measured by the ability to execute reliable, credible PoVs using real customer data, producing outputs that can be confidently used in live sales cycles to support deal progression and conversion.
• The role initially involves limited direct customer exposure. Over time, progression comes through demonstrated technical judgement, curiosity, and a growing understanding of how high-quality technical execution drives commercial outcomes.
• This means you will:

• Own and deliver the technical execution of Proofs of Value (PoVs) to support the Chattermill sales cycle, from initial setup through to delivery.
• Prepare, ingest, and transform customer data for PoVs, including data acquisition, ETL processes, data modelling, and validation.
• Build and maintain PoV outputs such as dashboards, analyses, and reports, aligned to agreed scope, success criteria, and customer use cases.
• Validate data quality, coverage, and assumptions to ensure PoV outputs are reliable, defensible, and fit for use in a commercial sales context.
• Clearly document PoV setup, data limitations, and technical decisions to support internal handover, reuse, and consistency.
• Collaborate closely with DataOps, MLOps, Sales, and Product teams to deliver PoVs efficiently and to an agreed quality standard.
• Maintain demo and PoV environments in line with product releases, platform capabilities, and best practices.

As you grow in the Pre-Sales Engineer role, you will:

• Gradually contribute to customer facing activities such as technical Q&A, PoV presentations, and solution scoping, supported by training and coaching.
• Develop proactive technical judgement, anticipating data quality or coverage issues that could impact prospect confidence.
• Connect technical decisions to customer use cases and intended outcomes.
• Show curiosity beyond execution, understanding why data matters and how insights will be interpreted.
• Contribute to shaping PoV scope around high-value use cases in partnership with Sales and Solutions Consultants.

What you’ll need:

• Curiosity to turn business requirements into real technical solutions, and to understand how architecture, data, and AI insights directly drive buying decisions and measurable customer value.
• Coding ability in Python, with familiarity using modern AI-assisted development tools (e.g. Cursor, Claude).
• Proven experience building and running ETL workflows across varied data sources (CSV, JSON, APIs), with a solid grasp of data quality, validation, and error handling.
• Comfortable working with imperfect or incomplete data, and clearly communicating assumptions, limitations, and trade offs.
• Strong analytical and problem-solving mindset, with the ability to diagnose customer challenges and deliver clear technical solutions.
• Excellent communication and presentation skills, able to explain technical concepts to non-technical stakeholders.

Bonus / Nice to have:

• Experience working with cloud-based SaaS products; exposure to modern AI tools and platforms.
• Exposure to B2C industries such as e-commerce, subscription services, or consumer platforms.
• Awareness of supporting trials, pilots, or Proofs of Concept, ideally in a commercial or pre-sales context.

Diversity & Inclusion

We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!