Full-Time

Solutions Engineer, Enterprise at Scale

Company Scale
Salary $180,000-$225,000 USD
How You'll Work hybrid
Level senior
Sector Technology
Posted Posted 0 days ago

Job Description

We are seeking a Solutions Engineer to join our team. As a Solutions Engineer, you will play a vital role in the development of AI applications. You will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. You will scope customer technical requirements and develop an actionable Statement of Work. You will work closely with the delivery team to help with initial implementation.

You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.

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