About the Role
- Hebbia is the AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for major financial institutions like BlackRock, KKR, Carlyle, and Centerview, managing over $30 trillion in assets globally. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. We deliver intelligence that gives finance professionals a definitive edge, uncovering signals no human could see, surfacing hidden opportunities, and accelerating decisions with unmatched speed and conviction. We do not just streamline workflows; we transform how capital is deployed, risk is managed, and value is created across markets. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.
- The Solutions Engineering team is crucial for converting 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 instills executive confidence in adoption, making the team a primary driver of revenue and product credibility. As Hebbia moves up-market and into new segments and geographies, every expansion requires deeper technical validation, prompting 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 by 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, understanding 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. This role is based out of Hebbia’s New York City office in SoHo.
Responsibilities
- 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
Requirements
- 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
Benefits
70:30 (50% split team & 50% individual) Uncapped on individual performance.