About Hebbia

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 Black Rock, 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.

The Role

Engineering Managers at Hebbia are technical leaders who build, ship, and lead. Every manager on our team writes code, reviews pull requests, and makes architecture decisions alongside the engineers they lead. This role requires strong technical ability. If you are looking for a role that is purely people management, this is not the right fit.

You will own a team and a problem space. You will set technical direction, unblock engineers, raise the bar on quality, and ship product that our customers rely on to make investment decisions. You are a strong partner to your product counterpart, and when they are out you drive the product yourself. Product intuition and business understanding are as important as technical depth in this role. You will also hire, coach, and grow your team. Our interview process reflects how we work: expect systems design, coding, and architecture discussions in addition to leadership and management conversations.

We are hiring across multiple engineering teams and will match you to the area where your background and interests create the most leverage.

Responsibilities

• Own the technical direction and delivery for your team. Set roadmap priorities, define architecture, and make tradeoffs between speed and quality.

• Write and review code. You will spend meaningful time in the codebase, not in meetings about the codebase.

• Hire, coach, and develop engineers. Run effective 1:1s, give direct feedback, and build a team that compounds in strength over time.

• Drive operational excellence for the systems your team owns: monitoring, incident response, on-call, and reliability.

• Collaborate with product and design to translate customer problems into technical solutions that ship fast. When your PM is unavailable, you own the product direction for your team.

• Work directly with customers and internal stakeholders to understand requirements and inform priorities.

• Identify and pay down technical debt. Make pragmatic decisions about when to invest in foundations versus when to move fast.

• Raise the engineering bar across the organization through better tooling, processes, and culture.

Who You Are

• 7+ years of software engineering experience at a venture-backed startup or top-tier technology company, with at least 2 years in a technical lead or engineering management role

• You still write code and want to keep writing code. You see management as a way to multiply impact, not a way to stop building.

• Strong systems design and architecture skills. You can design, critique, and evolve complex distributed systems.

• Experience building and scaling backend systems, data pipelines, or platform infrastructure in production

• Track record of hiring and developing strong engineers. You know what good looks like and you can attract it.

• Strong product intuition. You understand what customers need, why it matters to the business, and can make good product decisions independently.

• High ownership and urgency. You take accountability for outcomes, not process.

• Comfortable working in ambiguity. Priorities shift, requirements are underspecified, and you figure it out.

• Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go)

• Strong communicator. You can create clarity for your team, your stakeholders, and your customers.

• Experience building or leading teams that work with LLMs, agentic systems, or applied AI/ML in production is a plus

• Background in applied research or experience bridging research and production engineering is a plus

• Experience with enterprise customers, particularly in finance, legal, or consulting domains is a plus

Compensation

The salary range for this role is $200,000 to $300,000. This range may be 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.

We encourage you to apply even if you do not meet every single qualification listed above. Strong candidates come from many different backgrounds, and we would rather meet you than miss you.

Life @ Hebbia

• PTO: Unlimited

• Insurance: Medical + Dental + Vision + 401K

• Eats: Catered lunch daily + Door Dash dinner credit if you ever need to stay late

• Parental leave: 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