About the role

Our technology powers financial services firms who are running due diligence on billion-dollar deals and want to make their analysts faster and smarter.

You will own the full ML pipeline from project ideation, data curation, project execution, and continuous evaluation in production. You'll have close feedback loops with users and our Product team. In the past few months, we have:

• Built sub-second, layout-aware semantic search on top of data in any format
• Developed automatic safeguards to control generative models
• Fine-tuned foundation models to scale beyond narrow academic benchmarks
• Leveraged state-of-the-art NLP models to turn semi-structured data into actionable customer insights
• Developed regression tests to enable rapid experimentation

This role is based out of our New York City office in Soho.

Responsibilities

1. Close the publication-to-practice gap: Turn proof-of-concept papers into a real customer feature the week they’re published
2. Own product features: Solve a customer need end-to-end in a way they can actually understand and trust
3. Know the user: Understand real use cases and pain points deeply

Who You Are

1. 5+ years ML research or ML engineering at a venture-backed startup or top industry AI group
2. Embraces rapid prototyping with an emphasis on user feedback
3. Autonomous and excited about taking ownership over major initiatives
4. Extreme passion for learning, growth, and leadership
5. Focused on real user impact instead of academic work

Compensation and Benefits

The annual salary/OTE range for 5+ years of experience for this role is $150,000 – $225,000 with target equity + benefits

Benefits:

• Medical, dental, and vision insurance coverage for you
• 401K
• Two weeks PTO
• Free meals

Job Description

Our technology powers firms who are running due diligence on billion-dollar deals and rely on Hebbia to find unique and relevant results.

You will be responsible for driving the design of our product. You will be the founding member of our Design team, and work closely with cross-functional teams, including engineering, product management, and user research, to create user-centered designs.

This role is based out of our New York City office in Soho.

Responsibilities

1. Lead the design of our product features and end-to-end user experience; ensuring that the product is intuitive, visually appealing, and meets the needs of our users.
2. Collaborate with cross-functional teams to define and implement design solutions that drive user engagement and satisfaction.
3. Conduct user research and usability testing to inform design decisions

Who You Are

1. 4+ years of experience as a product designer, with a strong portfolio demonstrating your design process and product design skills. B2B Product Design experience preferred.
2. A bachelor's or master's degree in design or a related field.
3. Proficiency with Figma; Foundational CSS, HTML and Javascript a plus
4. Experience conducting user research and usability testing.
5. Autonomous and excited about taking ownership over major initiatives
6. Extreme passion for learning, growth, and leadership

Job Description

Our technology powers financial services firms who are running due diligence on deals and want to make their analysts faster and smarter. Your role is to execute on the product vision, strategy and roadmap. You will partner with company leaders to effectively orchestrate and align all parts of the business. You’ll work closely with our Head of Product and CEO.

This role is based out of our New York City office in Soho.

Responsibilities

1. Collaborate with: engineering, design, customer success and sales to prioritize and manage product development lifecycle.
2. Drive technical implementation: prompt engineering, working with LLMs at scale, optimizing concurrent indexing, improving performance, etc.
3. Establish and track: key metrics aligned with company objectives.
4. Collect user feedback: use it to help inform prioritization.
5. Meet key customers: speak to product roadmap with senior stakeholders (both active customers and key prospects)

Who You Are

1. 4+ years of experience in product management. Early stage, B2B experience preferred
2. Experience in AI or LLM product development preferred, software engineering experience a plus
3. Proficiency with Figma a plus
4. Self starter and fast learner who is excited about taking ownership over major initiatives
5. Extreme passion for learning, growth, and leadership

Job description

As Hebbia’s first prompt engineer, you will be at the forefront of a new art: teaching, instructing, and programming large language models to get the best from them.

Your role is to deeply understand our users’ needs, figure out and test the best way to prompt models to meet these needs, and then teach our users. You’ll work closely with our customer success, engineering, and product teams.

This role is based out of our New York City office in Soho.

Responsibilities

1. Understand our users’ needs: spend time with our users, deeply understand their explicit and implicit needs and where Hebbia can add the most value
2. Figure out and test the best way to prompt models to meet these needs: discover the best way to prompt models - thinking through typical use cases and edge cases; and test - code your changes into the tool and continue to refine
3. Work with engineering and product teams to implement best practices into tool: help engineering team code changes into tools, work with product teams to iterate on use cases and work flows
4. Teach users: Share best practices with users, customer success & sales teams through documentation, onboardings etc.

Who you are

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

- Proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) for model development and deployment

- Experience in AI or LLM product development preferred

- High level familiarity with architecture and operation of large language models

- Customer obsessed: extremely excited about diving deeply into user needs and workflows, and getting the best out of our tool for them

- Problem-solving and analytical skills: Ability to logically break down complex problems, propose precise but innovative solutions, think through edge cases

- Persistence and pace: iterate repeatedly and at pace to improve our prompting for users

- Communication: excellent communicator - with users, engineers, product teams - particularly adept at explaining complex technical concepts to non-technical audiences

- Leadership and teamwork: Proven experience collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.

Job Description

As a Software Engineer at Hebbia AI, you will play a critical role in designing, developing, and delivering high-quality software solutions that support our AI-driven products and services. You will own major product features across the stack from design to launch. You'll have close feedback loops with users and with our Customer Success team. You will work closely with a cross-functional team of engineers, and domain experts to architect scalable systems, implement robust software components, and ensure the reliability and performance of our software platforms. Your technical expertise, leadership abilities, and problem-solving skills will contribute to the success of our AI products and shape the future of our technology stack.

This role is based out of our New York City office in Soho.

Responsibilities

1. Own product features: Take a customer need and turn it into an operationally-excellent build
2. Meet with users: Serve as a deployed engineer to drive production contracts and upsells
3. Deliver a world-class UI: Craft delightful experiences that redefine what it means to be a search engine
4. Unlock universal indexing: Build integrations that allow customers to index any content in the world
5. Iterate on publication-grade ML: Ideate on new ML approaches to drive step-change increases in search quality

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.

- Proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) for model development and deployment.

- Deep expertise in one or multiple: full-stack development, platform engineering, ML, infrastructure, security

- Knowledge of cloud platforms (e.g., AWS) and their machine learning services for scalable model deployment is a plus.

-Problem-solving and analytical skills: Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.

-Leadership and teamwork: 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.

-Continuous learning mindset: 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.

Job Description

As a Software Engineer at Hebbia AI, you will play a critical role in designing, developing, and delivering high-quality software solutions that support our AI-driven products and services. You will own major product features across the stack from design to launch. You'll have close feedback loops with users and with our Customer Success team. You will work closely with a cross-functional team of engineers, and domain experts to architect scalable systems, implement robust software components, and ensure the reliability and performance of our software platforms. Your technical expertise, leadership abilities, and problem-solving skills will contribute to the success of our AI products and shape the future of our technology stack.

This role is based out of our New York City office in Soho.

Responsibilities

1. Own product features: Take a customer need and turn it into an operationally-excellent build
2. Meet with users: Serve as a deployed engineer to drive production contracts and upsells
3. Deliver a world-class UI: Craft delightful experiences that redefine what it means to be a search engine
4. Unlock universal indexing: Build integrations that allow customers to index any content in the world
5. Iterate on publication-grade ML: Ideate on new ML approaches to drive step-change increases in search quality

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.

- Proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) for model development and deployment.

- Deep expertise in one or multiple: full-stack development, platform engineering, ML, infrastructure, security

- Knowledge of cloud platforms (e.g., AWS) and their machine learning services for scalable model deployment is a plus.

-Problem-solving and analytical skills: Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.

-Leadership and teamwork: 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.

-Continuous learning mindset: 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.

Partnerships and growth manager

Job Description

Growth managers play a critical role at Hebbia: you will be directly responsible for ensuring our most important customers maximize their value from Hebbia, and use this to strategically shape the future of the product.

We’re looking for highly skilled and motivated generalists to deeply understand users’ explicit and implicit business needs, tackle complex problems to drive value across organisations, and work closely with engineering and product teams to shape the future of our product. As an early member of the growth team, you will make meaningful strategic decisions that will affect the future of the company.

If you enjoy solving challenging problems and building strong relationships and teams while doing so, we’d love to hear from you!

Responsibilities

• Deeply understand our users and drive value in partnership with them: creatively deploy with new teams and support existing users to get the most out of Hebbia
• Own relationships - build strong relationships (including at the executive level of large asset managers) and serve as a trusted advisor and go-to leader
• Tackle ambiguous, complex customer and product questions - bringing together a deep understanding of user needs and technical capabilities
• Shape the future of the product - bring the voice of the customer to our product and engineering teams and strategically advise on the future of the product
• Help to build the growth team - with potential opportunity to manage a dedicated team in the near future

Who You Are (Qualifications?)

• 2-4+ years of experience in consulting, private equity, or fast paced B2B startups - with proven ability to bring together customer-facing, analytical, strategic, and cross-functional work
• Excellent relationship management skills - including with senior-level stakeholders
• Strong ownership mindset - you see problems or white space and make it yours
• Distinctive analytical and problem solving capabilities: structure ambiguous, open-ended problems and quickly iterate on solutions
• Excitement to own problems and white space: from blue sky ideation to driving in-the-weeds success with individual users
• Passion for learning and demonstrated ability to ramp-up quickly
• Innate bias towards action and impact, while working in a nimble and fast-paced environment

Job Description

Our technology powers financial services firms who are running due diligence on billion-dollar deals and want to make their analysts faster and smarter.

We are entering a phase of rapid growth, and you will own our recruiting efforts to bring top technical talent to New York City.

This role is based out of our New York City office in Soho.

Responsibilities

While your primary responsibility is sourcing the best engineers in the world, we'd want you to be involved with the following too:

1. Manage candidate experience: Build strong relationships with each hire and manage their interview process
2. Close candidates: Partner with Hebbia leadership to turn interviewees into new Hebbia hires
3. Improve HR tooling: Build out Hebbia's recruiting and HR tools as we grow and scale
4. Lead D&I efforts: Be a company cultural leader and support the company goal of welcoming diversity in the workplace

The focus of this role is technical hiring, but may expand into general.

Who You Are

1. 4+ years of full-cycle tech recruiting experience, ideally at a fast-growing startup
2. Proven track record of attracting top talent across levels
3. Creativity in problem-solving and innovating across all stages of the hiring cycle
4. Experience using and implementing recruiting software and other HR tools
5. Autonomous and excited about taking ownership over major hiring initiatives
6. Extreme passion for learning, growth, and leadership

Job Description

Our technology powers financial services firms who are running due diligence on billion-dollar deals and want to make their analysts faster and smarter. You will be responsible for initiating relationships with potential clients and building these relationships to drive deals through the pipeline to successful closes.

You will own our deal flow, end to end, and transition deals to our Customer Success team after completed pilots. You will research prospective customers and adapt your sales strategy to meet their needs. You will also play a key role in defining our sales model and go-to-market plan as we evolve and target new sectors.

This role is based out of our New York City office in Soho.

Responsibilities

1. Grow a sales pipeline: Identify top targets and determine outreach sequences and strategies to initiate a relationship
2. Map stakeholders: determine decision-maker and create plan to get decision-maker buy-in
3. Pitch and manage deal cycle: Customize your pitch and demo to tailor to individual client needs
4. Drive client satisfaction: Partner with our Customer Success team during the pilot period to manage transition to long-term contracts
5. Grow accounts: quarterback post-sales teams to ensure strong deployment and customer experience and manage growth and renewal processes.
6. Optimize go-to-market motion: Build compelling demos, collateral, and sales tooling to accelerate a replicable end-to-end sales process

Who You Are

1. 4+ years Enterprise SaaS Sales Experience
2. Experience at an early stage venture backed company, e.g. <100 people
3. Prior work selling and delivering products in new or early stage markets
4. Extreme hunger and passion for learning, growth, and leadership

Job Description

Our technology powers financial services firms who are running due diligence on billion-dollar deals and want to make their analysts faster and smarter. You will be responsible for initiating relationships with potential clients and building these relationships to drive deals through the pipeline to successful closes.

You will own our deal flow, end to end, and transition deals to our Customer Success team after completed pilots. You will research prospective customers and adapt your sales strategy to meet their needs. You will also play a key role in defining our sales model and go-to-market plan as we evolve and target new sectors.

This role is based out of our New York City office in Soho.

Responsibilities

1. Grow a sales pipeline: Identify top targets and determine outreach sequences and strategies to initiate a relationship
2. Map stakeholders: determine decision-maker and create plan to get decision-maker buy-in
3. Pitch and manage deal cycle: Customize your pitch and demo to tailor to individual client needs
4. Drive client satisfaction: Partner with our Customer Success team during the pilot period to manage transition to long-term contracts
5. Grow accounts: quarterback post-sales teams to ensure strong deployment and customer experience and manage growth and renewal processes.
6. Optimize go-to-market motion: Build compelling demos, collateral, and sales tooling to accelerate a replicable end-to-end sales process

Who You Are

1. 4+ years Enterprise SaaS Sales ExperienceExperience at an early stage venture backed started, e.g. <100 people
2. Experience selling into Financial Services, particularly buy side funds
3. Prior work experience in financial services especially investment banking, private equity or private credit
4. Extreme hunger and passion for learning, growth, and leadership

Job Description:

As the Sales Director at Hebbia AI, you will be at the forefront of our building a best in class scaleable, repeatable sales motion and team. You will lead and mentor a team of motivated sales professionals, driving the execution of our sales strategy and initiatives. Your focus will be on expanding our customer base, driving customer growth, and contributing to the Sales organization’s playbooks and activities. The ideal candidate should possess a proven track record in sales leadership, particularly within the startup environment, and a strong ability to scale a high-performing sales team.

This role is based out of our NYC office in Soho.

Responsibilities:

Leadership and Team Management:

• Build, develop and lead a cohesive sales team to meet and exceed targets.
• Provide coaching, mentorship and ongoing training to enable team members’ professional growth.
• Foster a collaborative and motivated team culture that aligns with Hebbia AI’s values and mission.

Sales Strategy and Execution:

• Develop and implement effective sales strategies to drive revenue growth and market expansion.
• Collaborate with the executive team to define sales goals, objectives and KPIs.
• Identify market trends, customer needs, and competitive landscape to refine the sales approach.

Customer Relationship Management:

• Cultivate and maintain strong relationships with key clients, partners and stakeholders.
• Collaborate closely with marketing to ensure alignment of messaging and value props.
• Act as a point of escalation for resolving customer issues and ensuring exceptional customer satisfaction.

Business Development and Scaling:

• Leverage your startup experience to drive efficient and effective sales processes that can be scaled.
• Identify and pursue new business opportunities, market segments, and partnerships.
• Contribute insights to the product development team based on customer feedback and market demands.

Performance Analysis and Reporting:

• Monitor sales team performance, analyze metrics, and provide regular performance reports to leadership.
• Make data-driven decisions to optimize sales strategies and resource allocation.

Who Are You:

• Proven track record of success in a sales leadership role.
• Track record hiring and developing Sales talent.
• Experience working in high-growth startups and successfully scaling sales teams.
• Experience with Financial Services and Buy Side teams.
• Deep understanding of AI, technology and data analytics industries.
• Exceptional communication, negotiation and presentation skills.
• Ability to inspire and motivate a team in a dynamic and fast-paced environment.
• Demonstrated ability to establish and nurture lasting customer relationships.
• Proficiency in CRM software and sales performance tracking tools.
• Extreme passion for learning, growth and leadership.

Job Description

The Engagement Manager serves as the face of Hebbia for our most important customer relationships, and as a critical conduit connecting the needs of our users with the product and engineering teams working to shape the product to their needs. As an early member of the business team, where needed, this person will also engage across engineering, sales, marketing, and core operations by providing planning, analytical, operational, and strategic support.

We are looking for hard-charging generalists who can transition easily from deeply empathetic discovery sessions with new customers to who combine analytical rigor and an obsessive focus on outcomes with an empathetic interpersonal style. If you enjoy solving hard problems and building strong teams and relationships while doing it, we’d love to hear from you!

You will:

• Own and manage relationships with key stakeholders, from frontline investors to executives
• Integrate Hebbia's AI into investor workflows to drive step-changes in efficiency and efficacy
• Drive product use through your ability to understand customer pain, influence customers to adopt the product and deliver bespoke solutions
• Establish and track against customer value metrics to support growth and expansion
• Work in close partnership with product and engineering teams to deliver against customer objectives
• Build and incubate core company processes and systems
• Opportunity to eventually lead small teams with a focused mandate and coverage area

Ideally you'd have:

• 2-4+ years of experience in private equity, consulting, or other roles requiring a blend of analytical, strategic, and cross-functional work.
• Start-up experience
• A CS or STEM background
• Strong customer facing and relationship management skills
• Skills and experience very quickly building trust-based relationships within financial services
• Strong orientation towards outcomes, and a history of being scrappy when it counts
• Passion for learning and driving outcomes