Engagement Operations, Hebbia
$120-190k
OTE
+ 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
21-100 employees
Open for applications
$120-190k
OTE
+ Equity
5 days a week in office (Soho, London)
21-100 employees
Company mission
To put capable AI in the hands of 1 billion people by 2030.
Role
Who you are
- We’re looking for ambitious and highly skilled individuals with hands-on experience in operations and analytics, who can not only develop strategic frameworks but can translate ideas into flawlessly executed programs
- A strong candidate requires a blend of strategic first-principles thinking, operational experience, and analytical expertise as we shape the future of how AI is deployed at the world’s largest enterprises
- If you enjoy solving challenging problems and building strong relationships and teams while doing so, we’d love to hear from you!
- 2-5 years of experience in operational roles at tech companies, late-stage startups, or a consulting firm
- Proficient in analytics with experience SQL, Python, and data visualization tools
- Relationship management: you excel at building and maintaining relationships across all teams and levels of seniority
- Strong ownership mindset: you see problems or white space and make it yours
- Highly analytical: you bring a strong foundation in data analytics and always ground your approach with data
- First-principles thinker: you can work in ambiguity to tackle any problem regardless of whether or not you’ve seen it before
- Innate bias towards action and impact, while working in a nimble and fast-paced environment
What the job involves
- Engagement Operations Associates play a critical role at Hebbia: you will be responsible for driving operational excellence of the post-sales organization, working closely with customer facing teams to own initiatives that accelerate customer value from ideation to execution
- Operational Expertise: drive projects from ideation to completion, identifying cross-functional pain points and addressing them with the optimal value-effort tradeoff
- Program Management: Manage multiple complex projects simultaneously; balancing capacity and pulling in subject matter experts across teams
- Strategic Problem Solving: Think critically to identify and solve a variety of new and ambiguous problems
- Data-Driven Insights: Extract and action insights from data to inform strategic decisions and improve outcomes
- Relationship Building: Build credibility within the organization, serving as a trusted advisor that executives actively seek to help drive cross-functional initiatives
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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