Founding Forward Deployed Engineer – UK (On-Site)

Founding Forward Deployed Engineer – UK (On-Site)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Deploy AI-driven optimisation for fleets and ensure successful on-site go-lives.
  • Company: Join Dayjob.AI, a pioneering company in AI technology.
  • Benefits: Competitive salary, travel opportunities, and hands-on experience with founders.
  • Other info: Exciting role with potential for growth and impact in the tech industry.
  • Why this job: Shape the future of fleet performance while working directly with innovative leaders.
  • Qualifications: Experience in software and field operations, with a passion for AI.

The predicted salary is between 60000 - 80000 Β£ per year.

Dayjob.

AI is hiring a founding Forward Deployed Engineer to deploy AI-driven optimization for fleets in the UK.

You will work directly with founders, sales, and customers to integrate existing systems, tune the model to real-world operations, and ensure successful go-lives on-site.

You will own technical success for UK deployments, with travel to US sites as needed, and build useful fleet-performance reports.

The role blends software and field operations to shape Dayjob’s product and expansion.

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Founding Forward Deployed Engineer – UK (On-Site) employer: Dayjobai, Inc

At Dayjob, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Founding Forward Deployed Engineer, you'll be at the forefront of transforming the trucking industry with cutting-edge AI technology, while enjoying competitive salaries, meaningful equity, and a generous holiday allowance. Our commitment to employee growth is evident through our learning and development budget, ensuring you have the resources to thrive in your role and contribute to our exciting journey in the UK and beyond.

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Contact Details:

Dayjobai, Inc Recruitment Team

We think you need these skills to ace Founding Forward Deployed Engineer – UK (On-Site)

AI-driven optimisation
System Integration
Model Tuning
Technical Success Management
Fleet Performance Reporting
Software Development
Field Operations