Posted:
9/23/2024, 3:13:48 PM
Location(s):
New York, New York, United States ⋅ New York, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Software Engineering
The user interface for AGI – Hebbia is AI that works the way you work.
Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030.
As a Staff Platform Engineer at Hebbia, you will play a critical role in designing, developing, and delivering high-quality software solutions that support our AI-driven products and services. You will own major system components from design through deployment. You will have close feedback loops with users and with our Customer Success team. You will work closely with a cross-functional team of engineers and domain experts to architect scalable systems, implement robust software components, and ensure the reliability and performance of our software platforms. Your technical expertise, leadership abilities, and problem-solving skills will contribute to the success of our AI products and shape the future of our technology stack.
This role is based out of our New York City office in Soho.
Compensation
In consideration of market analysis and relevant factors, the salary range for this position is set between $190,000 and $250,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, daily catered lunch, and unlimited PTO.
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Website: https://hebbia.ai/
Headquarter Location: New York, New York, United States
Employee Count: 11-50
Year Founded: 2020
IPO Status: Private
Last Funding Type: Series A
Industries: Business Intelligence ⋅ Machine Learning ⋅ Productivity Tools