About Hebbia

Hebbia is an 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 BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers.

Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

About the AI Strategy Team

Our AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users' workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done.

As we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management.

About the Role

This is not a typical post-sales role: you'll drive the strategic deployment and measurable value creation of Hebbia's platform across top global financial institutions, shaping how AI transforms the enterprise.

Our AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment.

If you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we'd love to meet you.

Responsibilities

Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia's product and features, and apply to complex professional settings and workflows

Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)

Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor

Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy

Optimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience

Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs

Who You Are

Bachelor's degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law

1-5 years of client-facing experience in top-tier investment banking, institutional investing, corporate law, corporate finance, or consulting roles; relevant internship experience can be considered for recent grads

Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities

Experience and comfort with leading LLM models and tools; we want to hear about what you've built/tested/researched

Bonus:

5-10 years of client-facing experience with an emphasis on relationship-building

Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations

Technical startup and/or founder experience, building systems and processes for scale

LLM technical knowledge and practical experience implementing into professional workflows

Compensation

The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K + Wellness Benefits

Eats: Catered lunch daily + doordash dinner credit

Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent

Fertility benefits: $15k lifetime benefit

New hire equity grant: competitive equity package with unmatched upside potential

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About Hebbia

Hebbia is an AI platform that generates alpha and drives upside for investors and bankers. Founded in 2020, it powers investment decisions for major asset managers.

As an AI Strategist at Hebbia, you will drive the strategic deployment and measurable value creation of Hebbia's platform across top global financial institutions, shaping how AI transforms the enterprise.

Responsibilities

• Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia's product and features, and apply to complex professional settings and workflows
• Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)
• Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor
• Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy
• Optimise processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience
• Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs

Requirements

• Bachelor's degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law
• 1-5 years of client-facing experience in top-tier investment banking, institutional investing, corporate law, corporate finance, or consulting roles; relevant internship experience can be considered for recent grads
• Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities
• Experience and comfort with leading LLM models and tools; we want to hear about what you've built/tested/researched

Bonus Qualifications

• 5-10 years of client-facing experience with an emphasis on relationship-building
• Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organisations
• Technical startup and/or founder experience, building systems and processes for scale
• LLM technical knowledge and practical experience implementing into professional workflows

Compensation

The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000.

Benefits

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
• Eats: Catered lunch daily + doordash dinner credit
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

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We are seeking an experienced AI/GenAI engineer to join our team at Synopsys. As a Principal AI/GenAI Engineer, you will design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.

What You'll Be Doing:

• Design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.
• Provide technical leadership and mentorship, supporting junior engineers and data scientists in best practices and advanced techniques.
• Stay abreast of the latest AI, Agentic AI, and machine learning advancements, applying them to enhance existing systems or develop innovative solutions.
• Collaborate with program and product managers, software engineers, and stakeholders to define requirements and create technical specifications for AI solutions.
• Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models to meet performance and accuracy benchmarks.
• Deploy AI models into production environments, monitoring and optimizing their performance.
• Document models, algorithms, and methodologies to ensure reproducibility and facilitate knowledge sharing.
• Ensure all AI solutions comply with ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

• Accelerate innovation in AI-driven products and solutions, directly influencing Synopsys' technological leadership.
• Enhance operational efficiency and decision-making through intelligent automation and data-driven insights.
• Drive adoption of Agentic AI systems, enabling transformative business outcomes across multiple domains.
• Mentor and elevate the technical capabilities of the engineering and data science teams, fostering a culture of excellence.
• Champion ethical AI practices, ensuring responsible development and deployment of cutting-edge technologies.
• Support cross-functional collaboration, bridging the gap between technical and business teams for successful project delivery.
• Contribute to the advancement of semiconductor IPs and EDA tool integration with AI, expanding Synopsys' product portfolio.

What You'll Need:

• Ph.D. or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Minimum 8 years of experience in software engineering, machine learning, and GenAI, with a proven track record in production deployments.
• Strong proficiency in Python; familiarity with backend and distributed systems, message queues, and orchestration technologies is a plus.
• Expertise in data structures, algorithms, and design patterns for scalable AI solutions.
• Extensive experience with machine learning and Agentic frameworks (e.g., TensorFlow, PyTorch, LangChain/LangGraph, AutoGen) and LLM models.
• Strong grasp of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms, containerization (Kubernetes, Docker), and version control systems (Git, P4).
• Familiarity with Agile, Kanban, or Scrum methodologies.
• Understanding or experience with semiconductor IPs and EDA tools is highly desirable.

Who You Are:

• Exceptional problem-solving and analytical abilities, with a strategic mindset.
• Strong communication and interpersonal skills to engage diverse audiences.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Demonstrated leadership and mentorship capabilities.
• Adaptable, proactive, and eager to continuously learn and innovate.

The Team You’ll Be A Part Of:

You will join a dynamic, collaborative group of professionals dedicated to advancing AI and GenAI solutions for diverse projects. The team values innovation, knowledge sharing, and continuous improvement, working closely with product managers, engineers, and stakeholders to deliver impactful AI-powered systems. You will play a key role in mentoring, technical leadership, and driving the evolution of Synopsys’ AI initiatives.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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