Forward Deployed Engineer
Orb142,500 - 231,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Data Management, Cloud ServicesIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and a minimum of 3-5 years of experience in a technical customer-facing role such as Sales Engineer, Technical Customer Success, or Software Implementation Consultant, with prior experience as a Forward Deployed Engineer being highly desirable. Strong technical experience in database, data warehouse, data lake, cloud, data catalog, data engineering/pipelines, and BI is required, along with proficiency in programming languages like Python, Java, C#, TypeScript/JavaScript, or similar.
Responsibilities
The Forward Deployed Engineer will own the execution and on-time delivery of end-to-end projects for high-value customers in partnership with the broader Tonic.ai account team, deploy onto Customer team(s) to implement and operationalize Tonic.ai applications as part of an end-to-end solution, collaborate closely with the Sales and Solutions Architect teams to validate the scope of Professional Services engagements and assist in writing statements of work, assist in defining parameters for Professional Services work at Tonic.ai and contribute to process and documentation improvement initiatives, and liaise with Product and Engineering teams to support existing projects and/or provide feedback on the core Tonic.ai platform. Additionally, the role involves traveling up to 25% of the time to customer sites.
Skills
Database
Data Warehouse
Data Lake
Cloud
Data Engineering
Data Pipelines
BI
Third-party API Integration
Python
Java
C#
TypeScript
JavaScript
Communication
Problem-Solving
Time Management
Tonic
Data management solutions for developers and teams
About Tonic
Tonic.ai provides data management solutions aimed at software developers, data scientists, and quality assurance teams. Their platform enables users to de-identify, subset, and synthesize data, which helps protect sensitive information while still making it useful for testing and development. Tonic.ai operates on a subscription-based model, offering various service tiers to accommodate different organizational needs. This approach allows clients, ranging from small startups to large enterprises, to automate data pipelines and generate realistic demo data, ultimately saving time and reducing bugs in software development. Tonic.ai stands out from competitors by seamlessly integrating with both SQL and NoSQL databases, making it a versatile choice for data-driven organizations. The company's goal is to enhance data privacy and streamline data management processes to accelerate software development cycles.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$45.6MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees