Forward Deployed Engineer
Fieldguide125,000 - 184,000 USD/year
- Full Time
- Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, FintechIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Information Technology, or a related field. They must have over 8 years of experience as a Solutions Architect, Solutions Engineer, Sales Engineer, Forward Deployment Engineer, or in a similar technical pre-sales role. A strong understanding of enterprise SaaS solutions and cloud technologies is required, along with solid experience in solution design, architecture, and integration. Familiarity with relevant programming languages and technologies is essential, and a customer-focused mindset with excellent presentation and communication skills is preferred.
Responsibilities
The Forward Deployed Software Engineer | Solution Architect will collaborate with sales leadership to understand customer requirements and enable technical solutions deployment based on those needs. They will develop an in-depth understanding of Ema's technology and deliver tailored product demonstrations. The role involves working closely with customers to execute successful proofs of concept, designing solutions that align with business goals, and driving project teams towards the adoption of Ema's solutions. Additionally, they will manage customer challenges, create technical documentation, and act as a consultant for internal stakeholders to resolve deployment obstacles.
Skills
Product Demonstrations
Solution Architecture
Customer Requirements
Technical Solutions
Proof of Concepts (PoCs)
Cloud Environments
On-Prem Environments
System Integration
Business Outcomes
Diagnosis
Resolution
Investigation Tools
Ema
Develops enterprise AI solutions for workforce efficiency
About Ema
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.
Key Metrics
Mountain View, CaliforniaHeadquarters
2023Year Founded
$59.3MTotal Funding
SERIES_ACompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees