Solutions Engineer, Hebbia
$150-200k
OTE
+ competitive equity package with unmatched upside potential
5 days a week in office (Soho, NYC)
Building the AI interface for knowledge work
Be an early applicant
Building the AI interface for knowledge work
21-100 employees
Be an early applicant
$150-200k
OTE
+ competitive equity package with unmatched upside potential
5 days a week in office (Soho, NYC)
21-100 employees
Company mission
To put capable AI in the hands of 1 billion people by 2030.
Role
Who you are
- 3+ years in a technical, customer-facing role (solutions engineering, sales engineering, implementation, product consulting, etc.)
- Skilled in translating customer pain into product solutions; thrives in ambiguous and high-stakes environments
- Strong communicator — able to simplify complex technical topics for a range of audiences
- Confident running live demos, technical discovery calls, and AI landscape discussions
- Familiar with enterprise deal cycles and working alongside sales teams
- Experience working with AI, data, or complex information systems is a strong plus
- Natural collaborator with a high bias for action and customer empathy
- High level of autonomy and self-starter
What the job involves
- As a Solutions Engineer at Hebbia, you’ll operate at the intersection of sales, product, and engineering to help enterprises purchase, adopt, and expand high-value AI workflows
- Your work will directly impact revenue and customer success by designing tailored solutions for major enterprise clients across Financial Services, Law, Insurance, and more
- You’ll lead technical evaluations, configure custom AI-powered environments, and play a critical role in proving out Hebbia’s value to stakeholders — often in high-stakes, document-intensive workflows
- This is a deeply collaborative, client-facing role for someone who loves solving complex problems with cutting-edge technology
- Solution Design: Architect tailored, AI-powered workflows and demos that solve critical customer pain points — including prompt design, document configuration, and use-case implementation
- Proof of Concept Execution: Own the technical side of evaluations from end to end — design, scope, deploy, and iterate on POCs to drive adoption
- Live Demos & Technical Discovery: Partner with AEs in live demos, discovery sessions, and technical deep dives across multiple verticals
- Cross-Functional Collaboration: Act as the connective tissue between prospects, product, and engineering to influence roadmap priorities and close feature gaps
- Workflow Innovation: Continuously learn and develop new approaches for augmenting unstructured data intensive workflows with LLM technology
- Voice of the Customer: Serve as a trusted technical advisor, translating customer needs into scalable solutions and long-term partnerships
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 25 more jobs at Hebbia