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 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.

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 + DoorDash 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

#LI-Onsite

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 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.

The Role

You will spend the majority of your time embedded with Hebbia’s most strategic customers, building the last mile of our platform for their specific workflows, data, and domain. This is a hands-on engineering role. You write production code, you ship it, you own it.

As a Forward Deployed Engineer, you are the bridge between Hebbia’s platform and the real-world complexity of our customers’ environments. You sit with the customer’s team, understand their hardest problems, and build solutions that make Hebbia indispensable. Then you bring what you’ve learned back to our engineering and product teams to make the platform better for everyone.

This role is for engineers who want to combine deep technical work with direct customer impact. You will see your code create value in days, not months. The FDE team operates at the intersection of engineering and go-to-market. You will work closely with our core engineering team—shared code review, architecture alignment, deploy pipelines—and with our account teams who direct where you deploy and what you focus on. Our team works in person 5 days a week at our offices in NYC and SF.

Responsibilities

• Embed with strategic accounts to deeply understand their domain, data, and workflows
• Build custom integrations, workflow automations, and domain-specific solutions on top of Hebbia’s platform
• Write production code that deploys through our CI/CD pipelines and meets our engineering standards
• Own the technical relationship with the customer’s team during your engagement
• Prototype fast, validate with the customer, iterate, and ship
• Return from engagements and work with engineering and product to generalize reusable patterns into platform capabilities
• Participate in code review, on-call rotation, and architecture discussions alongside core engineering
• Build connectors to customer data sources and document management systems

Who You Are

• 5+ years software development experience at a venture-backed startup or top technology firm
• Strong full-stack engineering skills. You build across the stack: APIs, data pipelines, frontend when needed, infrastructure when needed.
• Comfortable working in ambiguity. Customer problems are messy and underspecified. You figure it out.
• High customer empathy. You enjoy sitting with users, understanding their workflows, and translating pain points into technical solutions.
• Fast and pragmatic. You prototype, validate, and ship in days and weeks, not quarters.
• Strong communicator. You are the primary technical point of contact for the customer. You can talk to both engineers and executives.
• Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go)
• Experience with data integrations, ETL pipelines, or enterprise data systems (S3, Snowflake, SharePoint, etc.) is a plus
• Experience with LLMs, RAG systems, or applied AI is a plus but not required
• Prior experience in finance, legal, or consulting domains is a plus
• Experience with customer-facing engineering roles (solutions engineering, professional services, or similar) is a plus

Compensation

The salary range for this position is set between $180,000 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.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
• Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late
• 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
  
  #LI-Onsite

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 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.

The Team 

The Integrations team is the backbone of Hebbia.

We own the systems that bring customer data into the platform — and without us, nothing else works. Every insight Hebbia generates depends on reliable, real-time access to data across dozens of enterprise systems.

This is not surface-level API work. This is building resilient, production-grade data systems across environments that are messy, inconsistent, and constantly changing.

The Role

You will own the full lifecycle of integrations that power Hebbia’s AI — from designing connectors to deploying them in production, monitoring their behavior, and debugging failures in real time.

You’ll work across systems like Snowflake, S3, SharePoint, and internal customer infrastructure — building pipelines that need to handle real-world complexity: unreliable APIs, evolving schemas, massive datasets, and edge cases that don’t show up in documentation.
When these systems work, customers trust Hebbia with their most critical workflows. When they break, it’s immediately visible — and you’ll be the one who understands why.

This role is hands-on, high-ownership, and deeply technical. You won’t just write code — you’ll develop the instincts to operate and debug complex distributed systems in production.

Why This Role is Different 

This role gives you exposure to:

• Real production systems with immediate customer impact
• Complex, unpredictable environments across enterprise infrastructure
• End-to-end ownership — from design to on-call to incident resolution

You will learn how systems actually behave in the real world — not just how they’re supposed to work. Engineers on this team quickly become experts in distributed systems, data pipelines, and debugging at scale. It’s one of the fastest ways to develop the skillset of a senior engineer.

What You''ll Do 

• Build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems
• Design and operate pipelines that handle scale, failures, and edge cases gracefully
• Debug issues across APIs, auth systems, and data formats, often under real-time customer pressure
• Own reliability end-to-end: monitoring, alerting, on-call, and incident response
• Improve internal tooling and observability to make systems more robust and easier to operate
• Partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases
• Design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces — from document analysis to structured query workflows

Who You Are

• 2–5 years of software engineering experience, ideally at a startup or high-growth technology company
• Strong proficiency in Python, with experience building backend services and APIs
• Direct experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practice
• Comfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or ElasticSearch
• Operational mindset: you take ownership of systems in production, not just in a PR. You are comfortable with on-call and treat reliability as a first-class concern
• Strong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root cause
• Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down
• Autonomous and self-directed. This role has high ownership and low hand-holding

Bonuses:

• Experience with enterprise data platforms (Snowflake, SharePoint, Salesforce) from the integration side
• Familiarity with document processing pipelines or content extraction systems
• Experience building agentic systems or LLM-enabled products
• Frequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)

Compensation

The salary range for this role is $160,000 to $265,000. 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.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + DoorDash 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

#LI-Onsite

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 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.

The Role

We are looking for a Site Reliability Engineer who thinks like a software engineer first. You will own critical production systems end-to-end, designing, building, and improving them rather than simply operating them. You will write production-quality code that keeps the platform reliable at scale, embed with product
engineering teams to influence architecture from the start, and build the internal tooling that every engineer at Hebbia depends on. This is not a ticket-driven ops role. You will spend most of your time writing code: instrumenting services, eliminating performance bottlenecks, building deployment platforms, and translating incident post-mortems into lasting architectural improvements.

Responsibilities

• Own critical production services end-to-end, from design and code review through deployment,
  operation, and incident response
• Profile, benchmark, and rewrite hot paths to eliminate bottlenecks as Hebbia scales
• Lead incident response and drive post-mortem culture, translating findings into code changes and
  architectural improvements rather than runbooks
• Design and build observability frameworks from scratch, writing custom instrumentation, alerting
  logic, and debugging tooling that surfaces production issues before customers feel them
• Define and enforce SLOs across platform services and build the feedback loops that keep
  engineering teams accountable to them
• Own capacity planning and cost efficiency: model growth, right-size infrastructure, and write
  automation that prevents over-provisioning and resource exhaustion
• Build robust, well-tested internal platforms and deployment tooling held to the same engineering
  standards as customer-facing code
• Own and continuously improve CI/CD systems so engineering teams can ship safely and quickly
• Embed with product engineering teams as a peer software engineer, contributing directly to
  production codebases and co-designing systems for reliability from the start
• Partner on infrastructure security through threat modeling, hardening, and automated compliance
  tooling

Who You Are

• 5+ years software development with a track record of writing, shipping, and maintaining production services, not just operating infrastructure 
• Production-grade proficiency in at least one systems or backend language: Go, Python, C++, or Rust
• Proven experience as a Production Engineer, SRE, or software engineer with a deep infrastructure focus, comfortable owning services end-to-end across the full stack
• Deep understanding of distributed systems
• Container orchestration expertise and hands-on experience debugging complex distributed failures in production 
• Working knowledge of OS-level concepts
• Cloud platform fluency (AWS preferred)
• Experience in building and maintaining observability stacks
• Strong CI/CD pipeline expertise and a track record of improving developer velocity without sacrificing safety
• Background at a company with a Production Engineering or software-focused SRE culture is a strong plus
• Experience building platforms for AI/ML workloads or high-throughput document processing pipelines is a plus 

Compensation

The salary range for this role is $160,000 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.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

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

#LI-Onsite

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 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.

The Team

The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.

The Role

Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state of the art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale. 

Responsibilities

1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
2. Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
3. Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering.
• Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.
• Deep understanding of scalable system design, performance optimization, and resilience engineering.
• Extensive experience with cloud platforms (e.g., AWS)
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis 
• Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.
• Proven experience enabling observability patterns.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Autonomous and excited about taking ownership over major initiatives
• Bonuses:
• Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 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.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

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 

#LI-Onsite

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 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.

The Team

The Growth and Data team at Hebbia is the engine that fuels the entire AI platform with the data it needs to reason and retrieve. We’re responsible for sourcing, indexing, and enriching content from every corner of the knowledge universe — spanning private enterprise data, public data, and third-party platforms — and delivering it seamlessly to power user workflows and agentic research.

We build robust integrations with platforms like Snowflake, S3, SharePoint, Dropbox, and beyond, enabling organizations to securely unify their data ecosystems. From discovery and search to retrieval-augmented deep research within chat matrix frameworks, the data we deliver quite literally powers every part of the AI platform.

The Role

As a Backend Software Engineer on Hebbia’s Growth and Data team, you will build and maintain the powerful backend systems that drive user engagement and fuel Hebbia's continued expansion. Your role involves architecting and implementing robust APIs, services, and infrastructure that empower customers with tailored, high-value experiences—such as personalized data views, streamlined management tools, and powerful integrations that uniquely amplify the value of Hebbia. Collaborating closely with product teams, designers, and frontend engineers, you'll take ownership of core backend features from initial design through deployment, ensuring scalability, reliability, and performance. Your technical expertise, strategic thinking, and proactive problem-solving will directly impact customer success, unlocking innovative solutions that accelerate adoption and growth of Hebbia’s platform.

Responsibilities

1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
2. Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
3. Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
• Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS)
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis 
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Embraces rapid prototyping with an emphasis on user feedback
• Autonomous and excited about taking ownership over major initiatives
• Bonuses:
  • Experience building agentic systems or LLM enabled products.
  • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 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.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

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 

#LI-Onsite

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 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.

The Team

Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale.

We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. 

We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. 

What we’ve built:

1. A custom multi-agent framework powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks.
2. The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our LLM throughput management capabilities.
3. Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems.
4. Industry leading agents solving problems from buy side company diligence to multi billion dollar M&A.

The Role

A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented.

Responsibilities

1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
2. Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
3. Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
• Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS)
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis 
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Embraces rapid prototyping with an emphasis on user feedback
• Autonomous and excited about taking ownership over major initiatives
• Bonuses:
  • Experience building agentic systems or LLM enabled products.
  • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 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.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

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 

#LI-Onsite

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 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.

The Team

The Agent Collaboration platform team at Hebbia builds the interactive scratch-pad, analysis, and content creation tools for Agents. Our flagship product, Matrix, is a generative spreadsheet that leverages our ISD process to coordinate complex agentic workflows across thousands of documents. We pair a simple, elegant interface—where users can kick off complex multistep document workflows—with a real-time, high-throughput LLM execution engine capable of processing the equivalent of 100 Harry Potter novels per second. Together, we turn massive, unstructured document repositories into seamless, actionable intelligence.

The Role

A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented.

Responsibilities

1. Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
2. Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
3. Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
4. Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
• Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS)
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis 
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Embraces rapid prototyping with an emphasis on user feedback
• Autonomous and excited about taking ownership over major initiatives
• Bonuses:
  • Experience building agentic systems or LLM enabled products.
  • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 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.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

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 

#LI-Onsite

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 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.

The Role

We are seeking our first Data Engineer, someone who can refine our data infrastructure, drive best practices for building data pipelines, and collaborate closely with both engineering and business teams to ensure every data need is met. If you are a self-starter with a proven track record of architecting end-to-end data solutions, we’d love to hear from you.

Responsibilities

• Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability
• Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting
• Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions
• Implement best practices in data security and governance to ensure compliance and trustworthiness
• Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures
• Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering
• Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.)
• Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment
• Proficient in Python and SQL; comfortable working with cloud-based data stack tools
• Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar)
• Experience implementing data governance, security, and compliance measures
• Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions
• Prior experience in a high-growth or startup environment is a plus
• You are comfortable working in-person 5 days a week

Compensation

The salary range for this position is set between $190,000 and $250,000. 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.

Life @ Hebbia

#LI-Onsite

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 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.

The Team 

Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale.

We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. 

We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. 

What we’ve built: 

1. A custom multi-agent framework powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks.
2. The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our LLM throughput management capabilities.
3. Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems. 
4. Industry leading agents solving problems from buy side company diligence to multi billion dollar M&A.

The Role

As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high value problems that our customers encounter each and every day. You will leverage our deep relationships with foundation model providers -  partnering to beta test models, experiment with new features, and develop guidance on relative model strengths

This role requires prior expertise in NLP, machine learning systems, and LLM evaluation; experience building with foundation models and experience working with Attention based NLP models is a plus. This role is best suited for an individual who can excel at both running experiments with novel LLM techniques as well as building production grade, LLM-enabled software systems - embedding directly in the software development lifecycle. 

Responsibilities

• Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting edge insight generation systems.
• Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader
• You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms
• Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company
• Collaborate with cross-functional teams to improve NLP/LLM capabilities in app
• Stay up-to-date with the latest advancements and research in the space 
• Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications
• Ensure that systems are efficient, maintainable and well monitored.
• Iterate on validation and testing frameworks.

Who You Are

• Bachelor's degree in Computer Science, Engineering, or related field
• Master’s degree in Computer Science, Mathematics, Machine Learning or a related field is a plus.
• 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems
• Strong programming skills in Python
• Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika
• Experience with Search and Indexing technologies
• Proficient in machine learning techniques and algorithms
• Experience working with foundational models and corresponding APIs
• Knowledge of statistical analysis and data scraping techniques
• Prior experience in developing NLP models and systems
• Experience with prompting and building LLM applications and agents is a plus.
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities
• Strong capability to translate research into production software systems
• Bonuses:
• Experience building agentic systems or LLM enabled products.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 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.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late 

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 

#LI-Onsite