Integrations Engineer
Location
NYC; San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
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
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Hebbia AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Site Reliability
Location
NYC; San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
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 $350,000. 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
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Hebbia AI for a position based in the United States. Employers on this board attest they are hiring domestically.
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:
A custom multi-agent framework powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks.
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.
Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems.
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
Backend Engineer, Agent Collaboration Platform
Location
NYC; San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
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
Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
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.
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.
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 $350,000. 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
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Hebbia AI for a position based in the United States. Employers on this board attest they are hiring domestically.
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
Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
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.
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.
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.
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 $350,000. 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
Backend Engineer, Growth and Data
Location
NYC; San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
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
Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
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.
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.
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 $350,000. 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
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Hebbia AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Backend Engineer, Agents
Location
NYC; San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
Overview
Application
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:
A custom multi-agent framework powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks.
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.
Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems.
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
Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
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.
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.
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 $350,000. 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
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Hebbia AI for a position based in the United States. Employers on this board attest they are hiring domestically.
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.
About the Solutions Engineering Team
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.
Role Overview
As a Solutions Engineer at Hebbia, you are a revenue-critical leader who owns the technical strategy in complex, high-scrutiny enterprise evaluations. You operate at the intersection of commercial leadership and AI execution, shaping structured solution strategies while proving real value during the buying process.
You bring clarity to ambiguity. You translate complex enterprise problems into structured, Hebbia-driven solution approaches that executives can confidently act on. At the same time, you design tailored AI-powered workflows and evaluations that validate impact, reduce decision risk, and strengthen the commercial narrative.
You operate as a trusted advisor to sophisticated buyers navigating ambiguity, risk, and scale. Your job is to clarify thinking, reduce decision risk, and prove value in environments where accuracy, speed, and explainability matter.
What You’ll Do
Own technical strategy from discovery through close in complex enterprise sales cycles
Lead rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria
Translate ambiguous customer challenges into clear structured Hebbia solution frameworks
Design and configure tailored AI-powered workflows to prove differentiated value during evaluations
Deliver high-stakes live demos and technical discussions with senior stakeholders
Surface risks early, challenge assumptions, and shape mitigation strategies that accelerate deal progression
Partner closely with Sales to increase win rates, deal velocity, and executive confidence
Provide structured product feedback that sharpens positioning and informs roadmap decisions
Who You Are
5+ years in a customer-facing technical role within complex enterprise sales environments (Solutions Engineering, Sales Engineering, Consulting, Implementation, or similar)
Deep experience with AI systems, data platforms, LLM based workflows or decision intelligence platforms
Demonstrable executive presence, able to earn trust from C-Suite practitioners
Strong at structuring ambiguous problems into clear, defensible solution approaches
Strong preference for experience selling to or performing Analyst roles in Banking, Asset Management, Private Markets, Legal or Enterprise Knowledge teams in complex enterprise environments
Comfortable operating in high-expectation, performance-driven environments
Compensation
70:30 (50% split team & 50% individual) Uncapped on individual performance.
The combined base + bonus compensation range for this role is $170,000 - $260,000 + competitive equity. This range is 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
#LI-Onsite
What Success Looks Like in 6–12 Months
You independently lead technical discovery, demos, and evaluations for complex enterprise opportunities across at least one core Hebbia vertical
You are a trusted partner to Sales, consistently helping advance deals by clarifying technical fit, reducing buyer risk, and strengthening the solution narrative
You deliver confident, repeatable demos that clearly articulate Hebbia’s value to both practitioners and executive stakeholders
You proactively identify technical risks and objections early in the sales cycle and help shape effective mitigation strategies
You meaningfully contribute to deal outcomes, with clear influence on win rates, deal velocity, and customer confidence
You are fluent in Hebbia’s platform, workflows, and common customer use cases, requiring minimal day-to-day oversight
You contribute reusable demo assets, narratives, or discovery insights that improve team-wide effectiveness
You provide high-quality, structured feedback from customer conversations that informs product and roadmap decisions
You are viewed internally as a reliable, thoughtful, and high-judgment Solutions Engineer who raises the bar for the team
Why Hebbia
Hebbia is redefining how teams work with complex information, turning unstructured data into clarity, speed, and confident decision-making. As a Solutions Engineer, you’ll sit at the center of that transformation, working directly with some of the most demanding and thoughtful buyers in the world.
#LI-Onsite
Listed by Hebbia AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Select a role
The full posting opens here — pay, setting and the full description, without leaving the list.