In-Demand Intelligence / machine learning engineer Jobs

Sales Engineer
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Sales Engineer

Thought Machine -
Sydney NSW

Apply Now

Job Details

Full-time

Benefits

Annual leave

Qualifications

Pricing
Cloud infrastructure
Azure
Sales
Deployment
Command line
Google Cloud Platform
Enterprise architecture
AWS
Docker
Solution architecture
Leadership
Communication skills
Pre-sales
SDLC

Full Job Description

Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology.

We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more.

We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026.

As a Sales Engineer, you play a pivotal role in leveraging our technology to provide a competitive edge and effectively communicate its value proposition.

Duties

Conduct Product Demos, including out-of-the-box and customised demonstrations to showcase specific functionalities.
Deliver Technical and Functional presentations, ensuring a comprehensive understanding of Vault from both technical and business perspectives.
Facilitate Target State Solution Architecture Workshops to align our solutions with the client's strategic objectives.
Lead Vault Solution Workshops to define the final solution, identifying product and configuration gaps.
Gather market insights through interactions with prospective and current customers, contributing to trend spotting and market intelligence.
Build and maintain trusted relationships with individuals from prospective and current customers.
Respond to Requests for Information (RFI) and Requests for Proposal (RFP).
Develop tailored proposals for individual prospective clients to address their unique needs
Demonstrate commercial awareness in enterprise software licensing models and procurement processes implemented by banks.

Requirements

Essential

Hands-on experience with public cloud platforms (e.g., AWS, GCP, Azure), services, and technologies (e.g., Kubernetes, Docker containers, Apache Kafka, RDBMS).
Proficiency in component configuration and operations using command line consoles (e.g., kubectl, kafkacat) and general UNIX.
Understanding of cloud infrastructure and large-scale distributed software applications, including architectural trade-offs across various deployment environments.
In-depth knowledge of current technology trends in banking and fintech, demonstrating thought leadership in the field.
Excellent communication skills, encompassing verbal, written, and presentation abilities.
Ability to lead client engagements and workshops effectively.
Background in fintech, vendor, or consultancy with extensive experience in client-facing roles.
Familiarity with Enterprise/Solution Architecture, especially in retail banking, core banking, and payments.
Experience with development teams and solution architecture, including knowledge of the full Software Development Life Cycle (SDLC).
Commercial awareness, understanding pricing models, and commercial aspects of the sales process.
Previous involvement in pre-sales activities, demonstrating experience in a sales environment.
Experience in large mission-critical product implementations in large financial institutions from the vendor side.

Benefits

Highly competitive salary
Paid holiday + public holidays
All the latest tech you need
A talented & experienced team as your colleagues
An environment where we encourage learning and progress

We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

Apply Now

Refine Your Search

intelligence / machine learning engineer jobs

Sales Engineer

Senior Director, Digital

Chief AI Engineer

Databricks Resident Solutions Architect

Senior RF & Electronics Engineer

Senior Principal Product Manager

Enterprise Account Executive

Security of AI (Trusted AI) - Senior Consultant

Security of AI (Trusted AI) - Associate Director

Service Delivery Manager

Talent Acquisition Specialist

Senior Project Engineer

Threat Analyst 2

Director, Business Development (Australia)

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