Sales Engineer

Sales Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead pilots and integrations with top-tier partners like Uber Eats and Toast.
  • Company: Join Boam AI, a leader in managed data solutions transforming unstructured signals into reliable intelligence.
  • Benefits: Enjoy competitive compensation, equity participation, and a high-trust, low-ego team environment.
  • Why this job: Make a real impact by solving customer problems at the intersection of AI, data, and enterprise workflows.
  • Qualifications: 3-6 years in a customer-facing technical role with experience in API integrations and data operations.
  • Other info: High autonomy and clear ownership from day one, with excellent career growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

Lead pilots and integrations that turn top-tier partners into power users. Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Sales Engineer, you will sit at the intersection of product, engineering, and our top tier partners like Uber Eats and Toast. You will help scope and run pilots, support integrations and implementations, and make sure customer feedback turns into the right product and data improvements. This is a role for someone who is technical enough to dive into APIs and data, and commercial enough to sit with senior stakeholders and keep projects moving.

What You’ll Do

  • Partner with enterprise customers on pilots and early deployments
  • Lead technical discovery, solution design, and integration planning
  • Translate messy partner data needs into concrete API and data feed requirements
  • Support implementation work across APIs, data feeds, and CRM connections
  • Coordinate with product, engineering, and data teams on requirements and scope
  • Translate customer needs into clear tickets, specs, and follow ups
  • Build and maintain demo environments, sample data sets, and playbooks
  • Help design and track pilot success metrics and reporting views
  • Collect structured feedback from users and stakeholders during pilots
  • Troubleshoot issues across data, configuration, and integrations
  • Provide input into roadmap based on real customer use and impact

You Might Be a Fit If...

  • 3–6 years in a customer facing technical role
  • Experience as a Sales Engineer, Solutions Engineer, or similar role
  • Worked with API integrations, data operations, and automation through scripting or SQL
  • Comfortable debugging APIs, security, and data flows
  • Strong communicator with both technical and non-technical partners
  • Able to run discovery, ask good questions, and map needs to solutions
  • Experience with B2B SaaS, data products, or analytics platforms
  • Enjoy working on pilots, proof of concepts, and first of kind projects
  • Comfortable owning timelines and keeping multiple teams in sync
  • Bias to ship, learn from usage, and refine quickly
  • Motivated by solving real customer problems and seeing impact in the field

Why Boam AI

  • Work directly with top tier partners like Uber Eats and Toast
  • Join a no politics, high trust, low ego, high talent team
  • Sit close to founders, product, and engineering on critical deals
  • High autonomy, clear ownership, and visible impact from day one
  • Operate at the intersection of AI, data, and enterprise workflows
  • Top tier compensation with meaningful equity participation
  • Help shape how we sell, implement, and expand our largest accounts

Our Hiring Process

  • Intro Call – Brief call to meet and outline the role
  • Deep Dive – Walk through past customer facing and technical work
  • Practical Exercise – Work through a Boam style pilot and integration case
  • Founder Conversation – Align on values, ambition, and how we work together

Sales Engineer employer: Boam AI

Boam AI is an exceptional employer that offers a unique opportunity to work at the forefront of AI and data solutions, collaborating with prestigious partners like Uber Eats and Toast. With a culture that prioritises high trust, low ego, and significant autonomy, employees can expect to make a tangible impact from day one while enjoying top-tier compensation and equity participation. The company fosters a dynamic environment for professional growth, allowing team members to shape the future of enterprise workflows and drive meaningful change.
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Contact Detail:

Boam AI Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Sales Engineer

✨Tip Number 1

Get to know the company inside out! Research Boam AI, their products, and their top-tier partners like Uber Eats and Toast. This will help you tailor your conversations and show that you're genuinely interested in what they do.

✨Tip Number 2

Practice your technical skills! Since you'll be diving into APIs and data, brush up on your knowledge of integrations and data operations. Being able to speak confidently about these topics will impress your interviewers.

✨Tip Number 3

Prepare for scenario-based questions! Think about how you would handle real customer problems or pilot projects. This will demonstrate your problem-solving skills and ability to work with both technical and non-technical partners.

✨Tip Number 4

Don’t forget to follow up! After your interviews, send a thank-you note expressing your enthusiasm for the role. It’s a great way to keep the conversation going and show that you’re keen to join the team.

We think you need these skills to ace Sales Engineer

API Integrations
Data Operations
Automation through Scripting
SQL
Technical Discovery
Solution Design
Integration Planning
Customer Feedback Collection
Troubleshooting
B2B SaaS Experience
Analytics Platforms
Strong Communication Skills
Project Management
Pilot Management
Stakeholder Engagement

Some tips for your application 🫡

Show Your Technical Side: Make sure to highlight your experience with APIs, data operations, and any technical projects you've worked on. We want to see how you can dive into the nitty-gritty while still keeping an eye on the bigger picture.

Communicate Clearly: Since you'll be working with both technical and non-technical partners, it's crucial to demonstrate your communication skills. Use clear language in your application to show us you can bridge that gap effortlessly.

Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the Sales Engineer role. We love seeing candidates who take the time to connect their background to what we do.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!

How to prepare for a job interview at Boam AI

✨Know Your Tech Inside Out

As a Sales Engineer, you'll need to dive deep into APIs and data. Brush up on your technical knowledge, especially around API integrations and data operations. Be ready to discuss how you've tackled similar challenges in the past.

✨Understand the Customer's Needs

Before the interview, research Boam AI's top-tier partners like Uber Eats and Toast. Think about how you can translate their messy data needs into structured solutions. Prepare examples of how you've successfully mapped customer requirements to technical solutions.

✨Showcase Your Communication Skills

You'll be working with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. During the interview, demonstrate your ability to ask insightful questions and engage in meaningful discussions about customer feedback and product improvements.

✨Prepare for Practical Exercises

Expect a practical exercise that mimics a Boam-style pilot and integration case. Familiarise yourself with common scenarios you might face in this role. Think through how you would approach troubleshooting issues and coordinating with different teams to keep projects moving smoothly.

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