As a Recruiter at Hebbia, you'll play a pivotal role in scaling the team behind our Matrix platform by identifying, engaging, and closing exceptional talent across Engineering, Product, and Design (EPD) teams.

Responsibilities

• Own EPD talent pipeline: Lead full-cycle recruiting for Hebbia's commercial organization, including Engineering, Product, Design and Security.
• Hunt for elite EPD talent: Go far beyond inbound. Proactively source and engage top-tier technical experts through targeted outreach, creative search strategies, and deep network leverage.
• Be the face of Hebbia in the market: Serve as the first touchpoint for technical candidates. Clearly articulate Hebbia's ambition, product differentiation, and growth trajectory ensuring every candidate is left with a compelling understanding of the opportunity.
• Deliver a world-class candidate experience: Ensure every candidate interaction is thoughtful, transparent, and high-integrity.

Who You Are

• 2+ years of EPD recruiting experience, ideally at a fast-growing startup
• Proven track record rapidly scaling technical teams
• Creativity in problem-solving and innovating across all stages of the hiring cycle
• Experience aligning internal stakeholders on job descriptions, compensation bands and interview processes
• Autonomous and excited about taking ownership over major hiring initiatives
• Extreme passion for learning and growth

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Hebbia is an AI platform for investors and bankers that generates alpha and drives upside.

As a Solutions Engineer - Partnerships at Hebbia, you will be the technical and strategic lead for activating our data and system partnerships in the field. You will operate at the intersection of partnerships, sales, and product , ensuring that Hebbia’s integrations with market data providers and fintech platforms translate into real, differentiated value during pre-sales and customer engagements.

Responsibilities

Own the technical strategy for partnership-driven deals, from discovery through close Lead joint pre-sales motions with partners, activating integrations with market data providers, content platforms, and fintech systems Develop a deep understanding of partner datasets, APIs, and system capabilities, and translate them into differentiated Hebbia solutions Design and configure integrated AI-powered workflows that combine Hebbia with partner data and systems to create real-world value Act as the technical face of partnerships in the field, supporting co-selling, joint demos, and strategic accounts Deliver high-stakes integrated demos and solution narratives to senior stakeholders, showcasing cross-platform value Identify gaps in integrations or positioning, and drive feedback loops to product and partnerships teams Surface risks early across multi-party deals, and align stakeholders to accelerate activation and deal progression Enable internal teams (Sales, Partnerships) with clear frameworks and best practices for positioning ecosystem value

Requirements

5+ years in a customer-facing technical role in complex enterprise environments (Solutions Engineering, Sales Engineering, Consulting, or similar) Experience working with market data, financial datasets, or fintech platforms (e.g., market data platforms, CRMs, virtual data rooms, portfolio monitoring tools, research platforms, or data infrastructure systems) Strong understanding of the financial technology ecosystem and how systems and data integrate across workflows Comfortable driving partnership or ecosystem-led pre-sales motions, including joint solutions and co-selling Able to translate complex, multi-system environments into clear, structured solution strategies Strong executive presence with a bias for ownership in high-ambiguity, performance-driven environments

What Success Looks Like in 6–12 Months

You independently lead technical discovery, demos, and evaluations for partnership-driven opportunities, embedding partner data and systems into Hebbia solutions You are a trusted partner to Sales and Partnerships, advancing deals by clarifying ecosystem value and strengthening joint solution narratives You activate partnerships in the field, translating integrations into tangible customer outcomes across pre-sales and early deployments You deliver integrated, high-impact demos that showcase Hebbia across market data, CRMs, and other fintech systems You proactively identify risks across multi-system, multi-party environments and drive alignment on mitigation strategies You meaningfully contribute to pipeline and revenue influenced by partnerships, improving win rates and deal velocity You build reusable assets and playbooks that scale how Hebbia and partners position and deliver joint value You provide structured feedback on integrations and ecosystem gaps, and are viewed internally as a go-to leader for partnership activation

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.

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You will bring clarity to ambiguity. You will translate complex enterprise problems into structured, Hebbia-driven solution approaches that executives can confidently act on. At the same time, you will design tailored AI-powered workflows and evaluations that validate impact, reduce decision risk, and strengthen the commercial narrative.

You will 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.

Key responsibilities include:

• Owning technical strategy from discovery through close in complex enterprise sales cycles
• Leading rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria
• Translating ambiguous customer challenges into clear structured Hebbia solution frameworks
• Designing and configuring tailored AI-powered workflows to prove differentiated value during evaluations
• Delivering high-stakes live demos and technical discussions with senior stakeholders
• Surfacing risks early, challenging assumptions, and shaping mitigation strategies that accelerate deal progression
• Partnering closely with Sales to increase win rates, deal velocity, and executive confidence
• Providing structured product feedback that sharpens positioning and informs roadmap decisions

Requirements include:

• 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 includes a 70:30 split between team and individual performance, with a combined base + bonus compensation range of $150,000 - $200,000 + competitive equity.

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Location: New York City

About Hebbia

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

The Role

We're looking for a Post-Sales Strategy & Operations Lead to support our post-sales team (Client Partnerships, AI Strategy). As a key member of our Operations function, you will drive operational excellence of the post-sales organization, working closely with customer-facing teams to own initiatives that accelerate customer value from ideation to execution.

Responsibilities

• Act as a thought partner to post-sales teams and adjacent GTM leaders to uncover insights into the performance of the business, develop recommendations, and implement programs to enhance our post-sales functions
• Lead strategic analyses to identify trends, gaps, and opportunities for process optimization; lead cross-functional projects to drive those optimizations
• Design, build and manage a model that guides resource allocation globally by vertical
• Partner with GTM Leadership to define vertical-specific coverage models and high-impact activities across the customer lifecycle, linked to revenue outcomes. Monitor and report on vertical performance
• Drive risk & upsell forecasting and provide actionable recommendations and process improvements to manage at-risk accounts
• Ensure data cleanliness and accuracy within the GTM tech stack
• Support the post-sales teams' operating cadence and business processes
• Serve as the connective tissue between post sales and the rest of the GTM organization
• Collaborate with Revenue Operations team on top-line metrics analyses, commission inquiries and disputes, and other ad-hoc reporting requests

Requirements

• 5+ years of progressive experience in revenue/customer success/technical solutions strategy and operations or equivalent role at a high-growth SaaS company; bonus if you have experience in management consulting or banking as well
• Excellent first-principles thinking skills
• Strong analytical skills; ability to thoughtfully structure analyses, answer key business questions, and drive decision-making
• This is a first-in-seat role, you'll be working through high amounts of ambiguity and expected to work with senior leaders to prioritize initiatives
• Experience in fast-paced environments and be comfortable working both as part of a team and independently
• Demonstrated ability to prioritize workload and manage multiple concurrent projects
• Strong verbal and written communication skills; ability to work effectively with cross-functional teams
• Experience building Salesforce reports and dashboards, knowledge of how SFDC applications integrate with each other, and ability to enable team on SFDC best practices and related tools
• Familiarity with related GTM systems (Salesforce, Hubspot, Gong, Outreach, Apollo, Clay, etc.)

What We Offer

• The combined base + bonus compensation range (OTE) for this role is $160,000 - $220,000.
• Unlimited PTO
• Medical + Dental + Vision + 401K + Wellness Benefits
• Catered lunch daily + doordash dinner credit
• 3 months non-birthing parent, 4 months for birthing parent parental leave policy
• $15k lifetime fertility benefits
• Competitive equity package with unmatched upside potential

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You will bring clarity to ambiguity. You will translate complex enterprise problems into structured, Hebbia-driven solution approaches that executives can confidently act on. At the same time, you will design tailored AI-powered workflows and evaluations that validate impact, reduce decision risk, and strengthen the commercial narrative.

You will 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.

Key responsibilities include owning technical strategy from discovery through close in complex enterprise sales cycles, leading rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria, translating ambiguous customer challenges into clear structured Hebbia solution frameworks, designing and configuring tailored AI-powered workflows to prove differentiated value during evaluations, delivering high-stakes live demos and technical discussions with senior stakeholders, surfacing risks early, challenging assumptions, and shaping mitigation strategies that accelerate deal progression, partnering closely with Sales to increase win rates, deal velocity, and executive confidence, providing structured product feedback that sharpens positioning and informs roadmap decisions.

Required skills include 5+ years in a customer-facing technical role within complex enterprise sales environments, 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.

Benefits include unlimited PTO, medical, dental, vision, 401K, wellness benefits, catered lunch daily, doordash dinner credit, parental leave policy, fertility benefits, and a competitive equity package with unmatched upside potential.

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You'll own our full GTM tech stack including Salesforce, Outreach, Gong, Apollo, Clay, Claude, and more, and be responsible for how we use AI to transform the way our field teams work. This is a high-visibility, high-ownership role that sits at the intersection of revenue strategy and technical execution.

Responsibilities:

• Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams
• Build and maintain prompt libraries and role-specific AI assistants that give field team members leverage in their day-to-day work; set up measurement frameworks to track what's actually moving the needle
• Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each
• Keep all systems integrated and healthy, with clean data flowing across the stack so that every downstream workflow, report, and automation is built on a foundation that can be trusted
• Audit the full GTM workflow for manual, repetitive work and systematically replace it with automation across data capture, field updates, handoffs, lead enrichment, sequence enrollment, and signal monitoring
• Work closely with GTM and Operations to understand pain points, translate problems into technical solutions, and rollout processes and workflows

Requirements:

• 4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment
• Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude
• Deep hands-on experience with GTM tools including Salesforce, Gong, Outreach, Apollo, and Clay, with a track record of building workflows and automations that teams actually use
• Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket
• Experience owning vendor relationships including renewals, evaluations, and contract negotiations
• Experience in fast-paced environments and be comfortable working both as part of a team and independently
• Demonstrated ability to prioritize workload and manage multiple concurrent projects
• Strong verbal and written communication skills; ability to work effectively with cross-functional teams

Total cash compensation range for this role is $140,000 to $190,000.

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About Hebbia

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

As a Client Partner, you will play a critical role guiding customers through their journey with Hebbia to retain and grow revenue. You will ensure customers realise meaningful value from Hebbia by driving adoption, solving problems, and positioning our platform as essential to their success.

Responsibilities

• Customer adoption & value realisation: Ensure customers are maximising their use of Hebbia by driving adoption of key features, inspiring engagement, and delivering measurable business impact within their workflows.
• Product expertise: Build deep knowledge of the Hebbia platform; support customers in prompt engineering & template building tailored to their unique workflows; enable them to become confident, independent users and scale AI across their teams.
• Problem solving & triage: Triage customer needs across support resources, solving problems quickly and coordinating cross-functionally to remove blockers.
• Analytical insight: Track account health and usage trends; generate insights and prepare executive-ready materials to demonstrate value and influence expansion conversations with financial sponsors and stakeholders.
• Relationship management: Build strong, trust-based relationships with day-to-day users and senior stakeholders at financial institutions, ensuring Hebbia is positioned as a credible AI partner.
• Commercial savviness: Understand the commercial context of customer contracts, flag risks, and identify opportunities to retain and grow revenue, contributing or even owning renewals.
• AI credibility: Stay curious and informed on AI trends and how large language models (LLMs) can be applied to financial services workflows; understand Hebbia's technical and functional differentiation and communicate these credibly with clients.

Requirements

• Meaningful experience in customer-facing enterprise SaaS roles (Customer Success, Account Management, or Consulting), ideally with significant exposure to financial services customers or workflows.
• Strong ownership mindset , you see white space or problems and take initiative to close gaps.
• Distinctive analytical and problem-solving skills , able to interpret data, structure ambiguous questions, and quickly generate actionable solutions in complex customer environments.
• Proficient in prompt engineering, preferably AI-native with low-/no-code tools , and eager to learn how they can transform workflows across Hebbia's customer industries.
• Excellent relationship builder and communicator , able to inspire adoption and present credibly to both end users and executives in financial institutions.
• Highly responsive, organised, and action-oriented; skilled at managing multiple priorities in a fast-moving environment.

Bonus

• 3+ years of experience managing a portfolio of 10+ key accounts for SaaS products across Financial Services accounts.
• Exhibits strong commercial instincts, consistently exceeding NRR numbers across assigned accounts, proactively expanding account relationships and driving upsell opportunities.
• Has built and/or scaled an AM or CS function at a high-growth SaaS company with complex products and user needs, preferably in Financial Services.

Compensation

OTE compensation range for this position is $75,000 and $150,000. The OTE range for those who meet Bonus qualifications is $150,000 and $220,000. OTE is defined as a combination of base salary and performance bonus, and is calculated at a 80/20 split. This position is eligible for a competitive equity grant with significant upside potential.

Life @ Hebbia

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

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Responsibilities:

• Own GTM talent pipeline: Lead full-cycle recruiting for Hebbia's commercial organization, including Sales, Sales Ops, Solutions, and Customer Success.
• Hunt for elite GTM talent: Go far beyond inbound. Proactively source and engage top-tier GTM operators through targeted outreach, creative search strategies, and deep network leverage.
• Be the face of Hebbia in the market: Serve as the first touchpoint for GTM candidates. Clearly articulate Hebbia's ambition, product differentiation, and growth trajectory ensuring every candidate is left with a compelling understanding of the opportunity.
• Deliver a world-class candidate experience: Ensure every candidate interaction is thoughtful, transparent, and high-integrity.

Who You Are:

• 4+ years experience recruiting for GTM roles in high-growth environments
• Proven success and passion for building exceptional teams, not just filling seats
• Experience in recruiting for GTM groups with flexibility to take on and quickly calibrate on new searches
• Ability to manage multiple searches and priorities simultaneously
• Effective communicator and ability to build strong partnerships with stakeholders and candidates
• Confident in ability to navigate ambiguity and a fast-paced environment

Compensation: The annual US base salary range for this role is $150,000 - $200,000. This salary 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
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

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You'll own our full GTM tech stack including Salesforce, Outreach, Gong, Apollo, Clay, Claude, and more, and be responsible for how we use AI to transform the way our field teams work. This is a high-visibility, high-ownership role that sits at the intersection of revenue strategy and technical execution.

Responsibilities:

• Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams
• Build and maintain prompt libraries and role-specific AI assistants that give field team members leverage in their day-to-day work; set up measurement frameworks to track what's actually moving the needle
• Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each
• Keep all systems integrated and healthy, with clean data flowing across the stack so that every downstream workflow, report, and automation is built on a foundation that can be trusted
• Audit the full GTM workflow for manual, repetitive work and systematically replace it with automation across data capture, field updates, handoffs, lead enrichment, sequence enrollment, and signal monitoring

Cross-Functional Partnership:

• Work closely with the GTM and Operations teams to understand pain points, translate problems into technical solutions, and rollout processes and workflows

Who You Are:

• 4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment
• Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude
• Deep hands-on experience with GTM tools including Salesforce, Gong, Outreach, Apollo, and Clay, with a track record of building workflows and automations that teams actually use
• Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket
• Experience owning vendor relationships including renewals, evaluations, and contract negotiations
• Experience in fast-paced environments and be comfortable working both as part of a team and independently
• Demonstrated ability to prioritize workload and manage multiple concurrent projects
• Strong verbal and written communication skills; ability to work effectively with cross-functional teams

Compensation:

• The total cash compensation range for this role is $140,000 to $190,000. 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.

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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.

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.

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

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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

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This is the founding hire for product analytics at Hebbia. As a data scientist, you will define what our core product metrics are: what counts as an active user, what engagement actually means, what signals correlate with retention.

This is not a dashboarding role. The goal is to shape product decisions with data, not just report on them. You will identify which workflows drive repeat usage, where users drop off, what features move engagement, and what differentiates power users from casual users across our enterprise customer base.

The role sits at the intersection of analytics engineering, product analytics, and data science. You will build the infrastructure and do the analysis. Define the metrics, build the pipelines, create the dashboards, and use what you built to inform the roadmap.

Responsibilities

• Define and implement Hebbia's core product metrics from scratch: active users, engagement, retention, feature adoption, account health. Build the canonical definitions the entire company uses.
• Design and build the product analytics infrastructure: fact tables, clean data models, and the analytics layer that sits on top of our product data.
• Build and maintain executive and product dashboards that leadership and product teams use to make decisions.
• Write DAGs, transforms, and data pipelines that support analytics. Work with engineering to instrument the product so usage data is captured correctly.
• Analyze customer behavior across our B2B customer base: account-level usage patterns, workflow adoption, expansion signals, and churn risk indicators.
• Inform the product roadmap using data. Identify friction in user flows, surface feature adoption patterns, and highlight opportunities for product improvement.
• Partner with product managers and engineers to translate product questions into measurable data and structured experiments.
• Establish data quality standards and documentation so the metrics layer you build is trusted and maintained.

Who You Are

• 3+ years of experience in product analytics, analytics engineering, or data science at a B2B SaaS company or high-growth startup
• Strong in SQL and Python. You can write production-quality transforms, not just ad hoc queries.
• Experience with modern data stack tools: dbt, Airflow, Snowflake, BigQuery, or similar. You understand data modeling and warehouse architecture.
• You have built dashboards and reporting that product teams and leadership actually use to make decisions
• You understand B2B product analytics: account-level metrics, multi-user workflows, enterprise engagement patterns, and why B2B retention analysis is different from consumer
• You translate ambiguous product questions into structured analyses. You do not wait for someone to hand you a spec.
• Strong product intuition. You care about why users behave the way they do, not just what the numbers say.
• Clear communicator. You can present findings to engineers, product managers, and executives with equal effectiveness.

Compensation

The salary range for this position is set between $180,000 to $260,000. 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.

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Key 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.

Requirements:

• 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 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.

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Key responsibilities include acting as a thought partner to post-sales teams and adjacent GTM leaders to uncover insights into the performance of the business, develop recommendations, and implement programs to enhance our post-sales functions. You will also lead strategic analyses to identify trends, gaps, and opportunities for process optimization, and design, build, and manage a model that guides resource allocation globally by vertical.

In addition, you will partner with GTM Leadership to define vertical-specific coverage models and high-impact activities across the customer lifecycle, linked to revenue outcomes. You will monitor and report on vertical performance, drive risk & upsell forecasting, and provide actionable recommendations and process improvements to manage at-risk accounts.

You will ensure data cleanliness and accuracy within the GTM tech stack, support the post-sales teams' operating cadence and business processes, and serve as the connective tissue between post-sales and the rest of the GTM organization.

Requirements include 5+ years of progressive experience in revenue/customer success/technical solutions strategy and operations or equivalent role at a high-growth SaaS company. Excellent first-principles thinking skills, strong analytical skills, and the ability to thoughtfully structure analyses, answer key business questions, and drive decision-making are essential.

Additionally, you should have experience in fast-paced environments and be comfortable working both as part of a team and independently. You should be able to prioritize workload and manage multiple concurrent projects, and have strong verbal and written communication skills, with the ability to work effectively with cross-functional teams.

Preferred qualifications include experience building Salesforce reports and dashboards, knowledge of how SFDC applications integrate with each other, and the ability to enable team on SFDC best practices and related tools. Familiarity with related GTM systems (Salesforce, Hubspot, Gong, Outreach, Apollo, Clay, etc.) is also desirable.

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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.

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This is a hands-on role, with the opportunity to build and lead a team over time. You will partner with the leadership team to support on any fundraising initiatives and drive audit readiness and execution by serving as primary point of contact for external auditors.

To succeed in this role, you will need a Bachelor's degree in Accounting, Finance, or related field, CPA certification, and 7-10 years of progressive accounting experience, including 3+ years in high-growth startups/tech companies.

In addition to your technical skills, you will need strong cross-functional collaboration skills, the ability to clearly explain financial/accounting details to other stakeholders, and a builder's mindset – you think and operate like a founder, you don't wait for permission to make an impact.

The combined base + bonus compensation range for this role is $185,000 - $225,000 + competitive equity.

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About 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.

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.

Requirements:

• 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.

Benefits:

• 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.

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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.

Responsibilities

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

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

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

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

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

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

Requirements

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

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

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

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

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

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

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

LLM technical knowledge and practical experience implementing into professional workflows

Compensation

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

Life @ Hebbia

PTO: Unlimited

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

Eats: Catered lunch daily + doordash dinner credit

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

Fertility benefits: $15k lifetime benefit

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

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About Hebbia

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

The Team

At Hebbia, the Sales team is not just responsible for revenue, it's the engine driving enterprise transformation by partnering with the most sophisticated organisations in the world to reimagine how knowledge work gets done.

The Role

As an Account Development Representative at Hebbia, you'll be the tip of the spear , introducing the world's leading enterprises to a new era of intelligent work. You'll play a critical role in identifying high-potential prospects, crafting compelling outreach, and generating pipeline for our Enterprise Sales team , all while helping shape the way businesses discover and adopt AI that actually delivers.

Responsibilities

Generate new business pipeline primarily through prospecting outbound opportunities Partner with Account Executives to identify and source net new pipeline and assist by researching lines of business and personas Identify key decision makers within new large enterprise and strategic accounts Run qualification calls with potential clients, helping to guide them through the first part of the evaluation process Demonstrate attentive listening skills when understanding customer requirements and articulate how Hebbia can meet those needs better than other solutions Develop critical sales skills, such as leading effective discovery calls, cold calling, objection handling, articulating and selling value, prioritisation and time management, and more

Who You Are

1+ year of Sales Development experience Bachelor's degree from a four-year university Team-centric mindset and demonstrated ability to work well in a collaborative environment Excellent time management skills and ability to juggle multiple priorities Strong communication skills and ability to identify potential customer opportunities

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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.
• 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

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About Hebbia

Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers.

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

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

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

About the AI Strategy Team

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

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

About the Role

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

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

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

Responsibilities

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

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

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

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

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

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

Who You Are

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

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

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

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

Bonus:

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

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

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

LLM technical knowledge and practical experience implementing into professional workflows

Compensation

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

Life @ Hebbia

PTO: Unlimited

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

Eats: Catered lunch daily + doordash dinner credit

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

Fertility benefits: $15k lifetime benefit

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

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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.

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.

You will 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.

You will design and operate pipelines that handle scale, failures, and edge cases gracefully.

You will debug issues across APIs, auth systems, and data formats, often under real-time customer pressure.

You will own reliability end-to-end: monitoring, alerting, on-call, and incident response.

You will improve internal tooling and observability to make systems more robust and easier to operate.

You will partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases.

You will 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.

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

The Team

At Hebbia, the Sales team is not just responsible for revenue, it's the engine driving enterprise transformation by partnering with the most sophisticated organisations in the world to reimagine how knowledge work gets done.

The Role

As an Account Executive at Hebbia, you'll play a pivotal role in scaling our Matrix platform by cultivating a strategic pipeline of enterprise opportunities, guiding senior stakeholders through nuanced sales cycles. You'll advance Hebbia's mission of replacing repetitive, manual workflows , like contract reviews, earnings analyses, and due diligence , with intelligent agentic automation that surfaces the right insights with full audit-ability and enterprise-grade security.

Responsibilities

• Drive Revenue for Hebbia: owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies
• Map Stakeholders: determine decision-maker and create plan to get decision-maker buy-in
• Manage Deal Cycle: Customize your pitch and demo to tailor to individual client needs
• Drive Client Satisfaction: Partner with our Customer Success team during the pilot period to manage transition to long-term contracts
• Grow Accounts: quarterback post-sales teams to ensure strong deployment and customer experience and manage growth and renewal processes.
• Optimise Go-to-Market Motion: Build compelling demos, collateral, and sales tooling to accelerate a replicable end-to-end sales process

Who You Are

• 8+ years Enterprise SaaS Sales Experience in a closing role
• Experience in financial services, legal, insurance, etc. is a bonus
• Experience at an early stage venture backed company, e.g. <00 people
• Prior work selling and delivering products in new or early stage markets
• Extreme hunger and passion for learning, growth, and leadership
• Earned a bachelor's degree from an accredited university

Compensation

In consideration of market analysis and relevant factors, the base salary range for this position is an on-target earning of $300,000 to $320,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, daily catered lunch, and unlimited PTO.

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Your responsibilities will include owning critical system components, unlocking O(1) universal indexing, driving performance optimization, and mentoring and guiding junior engineers. You will also collaborate closely with product teams, designers, and frontend engineers to take ownership of core backend features from initial design through deployment.

To succeed in this role, you will need a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, and 5+ years of software development experience at a venture-backed startup or top technology firm. You should be proficient in building backend and API systems using technologies such as Python, Java, or Go, and have extensive experience with cloud platforms (e.g., AWS).

You will also need working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, and the ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.

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• 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.

To succeed in this role, you will need:

• 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 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.

As a bonus, experience building agentic systems or LLM-enabled products, frequent use of AI products, especially during the development lifecycle, will be highly valued.

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.

At Hebbia, we offer a range of benefits, including:

• Unlimited PTO
• Medical, dental, and vision insurance
• 401K plan
• Catered lunch daily
• DoorDash dinner credit if you ever need to stay late
• 3 months non-birthing parent leave, 4 months for birthing parent
• $15k lifetime fertility benefit
• Competitive equity package with unmatched upside potential

XML job scraping automation by YubHub

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

The Team

At Hebbia, the Sales team is not just responsible for revenue, it's the engine driving enterprise transformation by partnering with the most sophisticated organisations in the world to reimagine how knowledge work gets done.

The Role

As an Account Executive at Hebbia, you'll play a pivotal role in scaling our Matrix platform by cultivating a strategic pipeline of enterprise opportunities, guiding senior stakeholders through nuanced sales cycles. You'll advance Hebbia's mission of replacing repetitive, manual workflows with intelligent agentic automation that surfaces the right insights with full audit-ability and enterprise-grade security.

Responsibilities

• Drive Revenue for Hebbia: owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies
• Map Stakeholders: determine decision-maker and create plan to get decision-maker buy-in
• Manage Deal Cycle: Customize your pitch and demo to tailor to individual client needs
• Drive Client Satisfaction: Partner with our Customer Success team during the pilot period to manage transition to long-term contracts
• Grow Accounts: quarterback post-sales teams to ensure strong deployment and customer experience and manage growth and renewal processes.
• Optimise Go-to-Market Motion: Build compelling demos, collateral, and sales tooling to accelerate a replicable end-to-end sales process

Who You Are

• 8+ years Enterprise SaaS Sales Experience in a closing role
• Experience in financial services, legal, insurance, etc. is a bonus
• Experience at an early stage venture backed company, e.g. <00 people
• Prior work selling and delivering products in new or early stage markets
• Extreme hunger and passion for learning, growth, and leadership

XML job scraping automation by YubHub

About Hebbia

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

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

Responsibilities

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

Requirements

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

Bonus Qualifications

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

Compensation

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

Benefits

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

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This is a senior, client-facing role suited for experienced investment bankers, institutional investors, corporate lawyers, accountants, management consultants or corporate finance executives who can engage at the highest levels of the industry and translate complex business needs into transformative AI solutions.

Your key responsibilities will include:

• Owning end-to-end strategic relationships with Hebbia's largest clients across investment banking, private equity, private credit, traditional asset managers, hedge funds, professional services firms (consulting, accounting, insurance, law), and Fortune 500 corporate finance.

• Acting as a trusted advisor to senior executives, helping them identify needle-moving use cases where Hebbia can deliver step-change efficiency and insight.

• Driving customer value and commercial growth by managing account plans, leading enterprise sales motions, and expanding Hebbia's footprint across global organizations.

• Architecting adoption playbooks, defining best practices for change management, stakeholder alignment, and quantifying ROI at scale.

• Partnering cross-functionally with Product, Engineering, and Sales to translate client needs into product roadmap and co-develop new solutions.

• Shaping Hebbia's go-to-market strategy by codifying learnings and playbooks from our most strategic accounts.

To succeed in this role, you will need:

• 10+ years of experience in investment banking, institutional investments or investment research, professional services (accounting, consulting, insurance, corporate law), or Fortune 500 corporate finance roles with significant client-facing responsibilities.

• Deep AI curiosity is a must, AI native fluency is a big plus.

• Proven ability to manage and grow enterprise-level client relationships across complex, global organizations.

• Commercial mindset with a track record of driving revenue growth through investment outcomes, relationship management, consultative sales, or advisory roles.

• Strong vertical knowledge across multiple areas of the broad finance ecosystem.

• Strategic thinker with the ability to identify and quantify high-impact use cases and translate them into scalable solutions.

• Exceptional communication skills; able to engage credibly with C-suite executives, senior stakeholders, and technology or AI leaders alike.

• Entrepreneurial spirit and comfort operating in a high-growth, fast-changing environment.

• Comfortable and excited about in-person, in-office work 5 days/week in our SoHo NYC office.

OTE compensation range for this position is set between $200,000 - $275,000 (combination of base salary and bonus). However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. This position is eligible for a competitive equity grant with upside potential.

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As an Account Development Representative at Hebbia, you'll introduce the world's leading enterprises to a new era of intelligent work. You'll play a critical role in identifying high-potential prospects, crafting compelling outreach, and generating pipeline for our Enterprise Sales team.

Responsibilities

• Generate new business pipeline primarily through prospecting outbound opportunities
• Partner with Account Executives to identify and source net new pipeline and assist by researching lines of business and personas
• Identify key decision makers within new large enterprise and strategic accounts
• Run qualification calls with potential clients, helping to guide them through the first part of the evaluation process
• Demonstrate attentive listening skills when understanding customer requirements and articulate how Hebbia can meet those needs better than other solutions
• Develop critical sales skills, such as leading effective discovery calls, cold calling, objection handling, articulating and selling value, prioritization and time management, and more

Who You Are

• 1+ year of Sales Development experience
• Bachelor's degree from a four-year university
• Team-centric mindset and demonstrated ability to work well in a collaborative environment
• Excellent time management skills and ability to juggle multiple priorities
• Strong communication skills and ability to identify potential customer opportunities

What We Offer

• Opportunity to work with a cutting-edge AI platform
• Collaborative and dynamic work environment
• Professional development and growth opportunities

How to Apply

If you're a motivated and results-driven individual looking to join a fast-paced and innovative company, please submit your application with your resume and a cover letter.

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