Solutions Engineer, Hebbia
Partnerships
Compensation: 70:30 (50% split team & 50% individual) Uncapped on individual performance
5 days a week in office (SoHo, NY)
The leading AI platform for finance
Be an early applicant
The leading AI platform for finance
101-200 employees
Be an early applicant
Compensation: 70:30 (50% split team & 50% individual) Uncapped on individual performance
5 days a week in office (SoHo, NY)
101-200 employees
Company mission
To put capable AI in the hands of 1 billion people by 2030.
Role
Who you are
- 5+ years in a customer-facing technical role in complex enterprise environments (Solutions Engineering, Sales Engineering, Consulting, or similar)
- Experience working with market data, financial datasets, or fintech platforms (e.g., market data platforms, CRMs, virtual data rooms, portfolio monitoring tools, research platforms, or data infrastructure systems)
- Strong understanding of the financial technology ecosystem and how systems and data integrate across workflows
- Comfortable driving partnership or ecosystem-led pre-sales motions, including joint solutions and co-selling
- Able to translate complex, multi-system environments into clear, structured solution strategies
- Strong executive presence with a bias for ownership in high-ambiguity, performance-driven environments
What the job involves
- The Solutions Engineering team converts buyer interest into enterprise conviction. In complex evaluations where customers are underwriting risk, they structure ambiguous problems, build tailored AI workflows, and validate value inside real data environments
- This work directly drives win rates, accelerates deal cycles, and gives executives confidence to adopt — making the team a primary driver of revenue and product credibility, not a sales support function
- As Hebbia moves up-market and into new segments and geographies, every expansion requires deeper technical validation, requiring the Solutions Engineering team to rapidly grow and scale. Their learnings compound into repeatable solution patterns that sharpen positioning and unlock larger deals, turning the function into a core lever of scalable growth
- As a Partnerships Solutions Engineer at Hebbia, you are the technical and strategic lead for activating our data and system partnerships in the field. You operate at the intersection of partnerships, sales, and product — ensuring that Hebbia’s integrations with market data providers and fintech platforms translate into real, differentiated value during pre-sales and customer engagements
- You are responsible for bringing partnerships to life. This means deeply understanding partner datasets and systems, translating them into compelling solution narratives, and embedding them into high-impact evaluations and workflows that accelerate revenue
- You bring clarity to complexity across ecosystems. You understand how financial data flows, how systems interconnect, and how to position Hebbia as the intelligence layer across that stack. You design and deliver integrated solutions that validate value, reduce decision risk, and strengthen both Hebbia’s and our partners’ commercial outcomes
- You operate as a trusted advisor to sophisticated buyers navigating fragmented data environments, tooling sprawl, and high-stakes decisions. Your job is to connect the dots across systems, data, and workflows; and prove why Hebbia is essential infrastructure
- Own the technical strategy for partnership-driven deals, from discovery through close
- Lead joint pre-sales motions with partners, activating integrations with market data providers, content platforms, and fintech systems
- Develop a deep understanding of partner datasets, APIs, and system capabilities, and translate them into differentiated Hebbia solutions
- Design and configure integrated AI-powered workflows that combine Hebbia with partner data and systems to create real-world value
- Act as the technical face of partnerships in the field, supporting co-selling, joint demos, and strategic accounts
- Deliver high-stakes integrated demos and solution narratives to senior stakeholders, showcasing cross-platform value
- Identify gaps in integrations or positioning, and drive feedback loops to product and partnerships teams
- Surface risks early across multi-party deals, and align stakeholders to accelerate activation and deal progression
- Enable internal teams (Sales, Partnerships) with clear frameworks and best practices for positioning ecosystem value
- What Success Looks Like in 6–12 Months:
- You independently lead technical discovery, demos, and evaluations for partnership-driven opportunities, embedding partner data and systems into Hebbia solutions
- You are a trusted partner to Sales and Partnerships, advancing deals by clarifying ecosystem value and strengthening joint solution narratives
- You activate partnerships in the field, translating integrations into tangible customer outcomes across pre-sales and early deployments
- You deliver integrated, high-impact demos that showcase Hebbia across market data, CRMs, and other fintech systems
- You proactively identify risks across multi-system, multi-party environments and drive alignment on mitigation strategies
- You meaningfully contribute to pipeline and revenue influenced by partnerships, improving win rates and deal velocity
- You build reusable assets and playbooks that scale how Hebbia and partners position and deliver joint value
- You provide structured feedback on integrations and ecosystem gaps, and are viewed internally as a go-to leader for partnership activation
Our take
Hebbia is an AI platform that can actually keep up with the pace and complexity of modern decision-making. USed by the world's top asset management, investment banks, law firms, and Fortune 500 companies, Hebbi's "AI-powered analyst" helps team drive investment decisions. Instead of relying on chatbots or basic search tools, Hebbia allows AI agents to break down complicated work into clear, traceable actions so analysts and deal teams have a better way to automate their most time-intensive workflows.
That capability just expanded in a major way too, with Hebbia's acquisition of FlashDocs, a leading generative AI platform for enterprise-grade slide decks and report creation. FlashDocs already automates more than 10,000 slides per day fro top Ai and enterprise companies, and now its technology allows Hebbia users to generate investment memos, board materials, diligence summaries, and branded presentations in just seconds. By combining deep document analysis with automatic artifact creation, Hebbia is tackling some of the most tedious tasks in finance, consulting, an legal work.
This momentum has continues with major industry partnerships, including its recent integration with FactSet, one of the most trusted names in financial data. By bringing FactSet's market, company, an estimates data directly into the platform, analysts can now blend structured financial datasets with Hebbia's unstructured document intelligence in real time. Backed by investors such as a16z, Peter Thiel, Google Ventures, and Index, and already deployed across a third of the world's largest asset managements, Hebbia has quickly positioned itself as the AI platform capable of powering the next generation of knowledge work.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
15 people
Meet Barry, GTM
Our mission
Partner with leading financial institutions to turn complex workflows into AI solutions and make Hebbia indispensable to their success.Company
Funding (last 2 of 3 rounds)
Jul 2024
$130m
SERIES B
Jul 2022
$28.6m
EARLY VC
Total funding: $159.7m
Company benefits
- Start-up equity
- Competitive Salary
- Office in Downtown NY
- Commuter benefits
- Flexible PTO
- Comprehensive medical, dental, and vision insurance
- Daily Catered Lunches
- Fertility HRA
- Parental Leave
Company values
- Cogency
- Compassion
- Running Hard
- Readiness
Company HQ
SoHo, New York, NY
Articles
Leadership
George Sivulka
(Founder & CEO)Founded Hebbia in 2020.
Danny Wheller
(VP of Business, Strategy & Growth)Previously spent 6 years at Palantir, working in Business Development and as the Global Head of Financial Services.
Tom Reeson Price
(VP of Sales)Previously spent nearly 4 years at AuditBoard as a Director/VP of EMEA> Prior to that, he was a Regional Manager of Enterprise at AppDynamics and held several Sales roles at HeadBox.
Jennifer Chittim
(Head of Customer Success)Previously the VP of Global Customer Success at Templafy, the VP of Customer Success & Account Management at Vi and Botify and the Head of CLient Partnerships (Account Management) at Wunderkind.
Aabhas Sharma
(Chief Technology Officer)Previously spent a decade across Sosh, Postmates, and Uber through two acquisitions, rising from Software Engineer to Director of EPD. Most recently, he was CTO of Found, scaling Series A through C.
Tom Navin
(Head of People)Previously spent 8 years at Latch, joining at a People Operations Manager before becoming the DIrector of People Operations and then VP of People.
Jillian Liu
(Head of Revenue Operations)Previously a Senior Director of Revenue Operations at Alloy. Prior to that, they spent nearly 4 years at Nightfall AI, holding Senior/VP Strategy & Operations roles.
Arjun Mahesh
(Head of Design)Previously the Head of Design at Verse and a Product Designer at Stripe.
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