Interested in joining a growing pre-sales team in a role that offers autonomy, growth and the opportunity to impact business success? Our Solutions Engineers demonstrate the business value unlocking MLOps can bring potential Customers and the benefit of Seldon's industry leading products. 

Why Seldon? 

Seldon was founded in 2014 with a simple yet ambitious aim: accelerate the adoption of machine learning to solve some of the world’s most challenging problems. Since 2018, Seldon has raised €10 million in funding and achieved 38% MoM growth, working with clients such as Google, RedHat and IBM ML platforms.

We have created a culture that we’re proud of driven by our passionate, talented team and open, collaborative ethos. Our workplace is engineering-led, offering an agile environment that is evolving as we scale, enabling unique opportunities to grow and develop your career as part of the team. 

What you will be doing

  • You will be responsible for supporting the successful closing of new business through performing technical demonstrations and building and managing proof of concepts with prospective clients, aligned with their business needs
  • You will be responsible for the creation of success criteria and value cases to articulate clearly to clients the quantitative impact of Seldon technology
  • You will be communicating with technical and business stakeholders on a regular basis, using your technical knowledge and communication skills to effectively translate the technical capabilities of Seldon technology into business value for our clients
  • You will be striving to excel in your monthly activity goals aligned to client demo meetings, pre-sales calls and value cases developed 
  • You will proactively partner across the business on the continuous improvement of our solutions engineering approach and customer pre-sales satisfaction 

What you will bring to the team

  • 3+ years of enterprise software experience in a technical client-facing role, preferably in a pre-sales capacity
  • Proven track record of value-based technical sales success through demonstrations, trials, and POC
  • Excellent presentation and communication (verbal and written) skills to a range of both commercial and technical client stakeholders
  • Experience and understanding of the machine learning lifecycle; working with popular machine learning frameworks (Scikit-Learn, TensorFlow etc.), and data science practices (scripting with Python, Jupyter notebooks etc.)
  • Experience working with cloud-native technologies; working knowledge of Docker and Kubernetes, experience working with cloud platforms (GCP, AWS, Azure), comfortable working with Linux
  • The ability to work in a fast-paced environment whilst maintaining attention to detail and excellent critical judgment 
  • A proactive approach to continuous improvement and the ability to take initiative

What you will gain in return 

  • An exciting role in a growing company, with the opportunity to shape our approach to Customer Support
  • A supportive and collaborative team environment with a commitment to learning and career development 
  • Flexible approach to hybrid-working (2/3)
  • Share options to align you with the long-term success of the company
  • 28 days annual leave (plus flexible bank holidays on top)
  • Perkbox - perks, medical and wellbeing benefits
  • Healthcare cash plan and Employee Assistance Programme
  • Pension scheme 
  • Cycle to work scheme

 

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