AI Strategist, Hebbia
Credit
$90-230k
OTE
Plus equity
5 days a week in office (SoHo, London)
Building the AI interface for knowledge work
Open for applications
Building the AI interface for knowledge work
101-200 employees
Open for applications
$90-230k
OTE
Plus equity
5 days a week in office (SoHo, London)
101-200 employees
Company mission
To put capable AI in the hands of 1 billion people by 2030.
Role
Who you are
- A strong candidate requires curiosity, critical thinking, cogency, ability to communicate clearly and a desire to run hard at our vision to scale AI for serious work
- If you’re a self-starter who enjoys solving challenging problems, and have a desire to see a tangible impact of your efforts, we’d love to hear from you
- Bachelor’s degree in Finance, Economics, or Pre-Law
- Preference for 1-4 years of experience in front-office roles: leveraged finance, restructuring, private credit / direct lending, public credit, or a related buyside credit role - with proven ability to bring together customer-facing, analytical, strategic, and cross-functional work
- Curiosity around the applications of AI in professional services, and a strong desire to learn
- Strong ownership mindset - you see problems or white space and make it yours
- Distinctive analytical and problem solving capabilities: structure ambiguous, open-ended problems, and quickly iterate on solutions
What the job involves
- We’re looking for an AI Strategist for our Credit team to interface between our cutting-edge AI product and top financial institutions
- The AI Strategist will work with a team of industry veterans to deliver on AI rollout success criteria and help drive successful deployments
- They will plug into highest profile enterprise deployments and analyze engagement processes impacting group-wide strategy
- Applied artificial intelligence: Develop expertise with large language models (LLMs) including Open-AI (GPT-4), Anthropic (Claude-3), and/or Gemini. Apply to complex professional settings and workflows
- Process optimization: Define internal processes and workflows to uplift the engagement team and improve our customer experience
- Detail orientation: A focus on detail, and an ability to understand the basics of complex financial and legal workflows (e.g., credit agreements, lease documents, etc.)
- Relationship orientation: Deeply understand our users and drive value in partnership with them – creatively engage with new teams and support existing users to get the most out of Hebbia
- Structured approach: Tackle ambiguous, complex customer and product questions - bringing together a deep understanding of user needs and technical capabilities
Our take
Founded in 2020, Hebbia is an AI-powered search engine that processes complex requests through the use of deep learning techniques and models that aid in knowledge graph work, semantic analysis, and AI.
The first product the company produced was a Chrome plugin that upgrades the search function to reach beyond traditional text pattern matching, and instead begins to comprehend the query and how answers might be given on the page.
Raising funding from Peter Thiel, Index Ventures, Jerry Yang (Yahoo founder), and Ram Sriram (one of the first Google investors) to name a few, capital has been put towards building the engineering team and accelerating the development of products on the platform, as well as expanding its customer base into that of the professional services industries.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jul 2024
$130m
SERIES B
Jul 2022
$28.6m
EARLY VC
Total funding: $159.7m
Company benefits
- Comprehensive health, dental and vision coverage
- 401k
- Daily catered lunch
- Unlimited PTO
- Fertility benefits
- Paid parental leave
Company values
- Your work is a craft you want to master
- You thrive in ambiguity and approach new challenges with optimism
- You appreciate diverse perspectives and uncommon ideas
Company HQ
SoHo, New York, NY
Articles
Leadership
George Sivulka
(CEO)Held Research Scientist positions at NASA, SLAC National Accelerator Laboratory and the Wu Tsai Neurosciences Institute.
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