Sales Engineer

Snowplow Analytics; United Kingdom; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Meaningful equity stake

Competitive Base Salary

Flexible working

Generous PTO

Private Medical Insurance

Company Pension

MacBook and home office equipment

Enhanced Family leave

Job summary

Snowplow in the United Kingdom is seeking a Sales Engineer to drive discovery, design solutions, and deliver compelling demos for our core behavioural data platform plus Signals and Identities. You’ll work with Account Executives across the UK and EMEA to uncover real customer needs and guide prospects from discovery to decision.

You will tailor demonstrations to diverse audiences, run tight evaluations, and advise on how Snowplow fits within existing data warehouses and cloud platforms.

Qualifications

• Prior pre-sales experience in data or SaaS sales.
• Deep knowledge of data warehousing and modern cloud data platforms.
• Ability to diagnose customer needs and map to technical solutions.
• Proven collaboration with sales teams to close deals.
• Credibility with technical buyers like data engineers and architects.
• Clear, business-oriented communication for non-technical buyers.
• Fast learner who handles rapid product and market changes.
• Comfort with ambiguity in a growing team.

Responsibilities

• Own discovery and solution design throughout the sales cycle.
• Tailor demos to diverse roles from data engineers to CTOs.
• Lead evaluations and proofs of concept with clear success criteria.
• Explain Snowplow’s fit with a prospect's data landscape and tools.
• Position Snowplow honestly against alternatives, including DIY.
• Collect feedback from prospects and loop it back to product and marketing.
• Create reusable assets and vertical stories for the team.
• Leverage AI tools to accelerate deals and share new techniques.

Skills

Pre-sales experience

Data depth

Consultative selling

Sales collaboration

Technical credibility

Business communication

Fast learner

Adaptability

Tools

Snowflake

Databricks

BigQuery

AWS

Job description

About Snowplow

Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow’s event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.

More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.

This Opportunity

The conversations we have with buyers have fundamentally shifted. Instead of asking whether we can capture web and mobile events, prospects now want to know if our stream can reliably feed their live customer-facing AI agents in milliseconds without hallucinating or breaking governance. Answering that well takes someone who understands both the data and the business problem, and who can stand in a room and connect the two.

This isn’t just a demo role. You’ll join the Sales Engineering team and partner with Account Executives and Account Managers across the UK and EMEA. Together you’ll set deal strategy, uncover the real problem behind each request, and guide prospects from discovery through to a decision. You’ll work across our core behavioural data platform and our newer products, Signals and Identities, earning the trust of data leaders by leading with their priorities, not our features.

This role reports to the Director of Sales Engineering.

What you will own

• The technical win. You partner with Account Executives throughout the sales cycle, owning discovery, solution design and the technical win.
• Discovery that finds the real problem. You ask the questions that uncover what a prospect is trying to achieve, then connect it to what Snowplow does.
• Demos that land. You tailor demonstrations to each prospect’s use case and industry, for audiences ranging from data engineers to Heads of Data and CTOs.
• Evaluations and proofs of concept. You scope them tightly, set clear success criteria with the prospect, and see them through to a decision.
• Architecture conversations. You explain how Snowplow fits alongside a prospect’s existing data warehouse, cloud platform and tooling, and advise on best practice.
• Competitive situations. You position Snowplow honestly against the alternatives a prospect is weighing up, including building it themselves.
• The voice of the field. You bring what you hear from prospects back to Product, Marketing and the wider team so we keep getting sharper.
• Reusable assets. You help build the demos, playbooks and vertical stories that the rest of the team and Sales can use.
• AI in the way we work. You use AI tools every day to work faster and smarter, and you’re often the one showing the team the next new technique.

We would love to hear from you if you have

• Pre-sales experience in data or SaaS. You’ve worked as a Solutions Engineer, Sales Engineer, Solutions Consultant or similar, supporting a technical sale.
• Real depth in data. You know at least one of these areas well: data warehouses (such as Snowflake, Databricks or BigQuery), cloud data infrastructure on AWS, or behavioural event data. You’re comfortable going deep in the one you know best.
• A consultative approach. You lead with questions, not slides. You know how to qualify, when to push back, and how to tie a technical answer to a business outcome.
• A track record of partnering with Sales. You’ve worked hand in hand with Account Executives, and you understand that you share the number.
• Credibility with technical buyers. Data engineers and architects trust you because you understand their world.
• Clear communication with business buyers. You can explain technical ideas in plain language to people who don’t live in the detail.
• A fast learner’s instincts. Our product and market move quickly. You pick up new technology fast and enjoy doing it.
• Comfort with ambiguity. You’re happy to work things out as you go in a growing team, and you know when to ask for help.

Bonus points for

• Experience with streaming or real-time data (such as Kafka or Kinesis)
• Exposure to CDPs, product analytics or customer data tooling
• Python, or experience presenting analysis in notebooks
• Experience selling into retail, media, iGaming or financial services

What you get in return for being awesome

• Meaningful equity stake
• Competitive Base Salary
• Flexible working
• Generous PTO
• Private Medical Insurance
• Company Pension
• MacBook and home office equipment allowance
• Enhanced Family leave