{"data":{"company":{"name":"Hebbia","slug":"hebbia","logo_url":"https://logos.yubhub.co/hebbia.com.png","canonical_domain":"hebbia.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Fed Chair nominee Kevin Warsh is worth well over $100 million, new financial disclosure forms show - CBS News","url":"https://news.google.com/rss/articles/CBMieEFVX3lxTE1TRzE0UnNSVjc3UDhhVDZVNUJuTnFsRFVPc095QnRWUUEyczJvdi1DTnpsMzdGb3hXc2kyQU81aXRQS0xpTE16ZEt3eDdVY2tCQ2lmYVk1TlRBcTI4ZXNibnNlaFI2Tk5MN2VaYWNwWmRFZGxodVRxRdIBfkFVX3lxTE80d1QyUGYtaEpKaVlPaDJ6STk2cHd4elhib3ZVdjRSZVIza09EU3RqMTJQYk80S3U4SU04SlJhbFg3bFBvN0k1aGFON2kzUFpyb2VjR0s2MEFmXzNWNUVqVTMxLUkzYWdyc21jOWs0TnQzQUhmaWlrNUJ5dDZLQQ?oc=5","publisher":"CBS News","date":"2026-04-14","snippet":"Fed Chair nominee Kevin Warsh is worth well over $100 million, new financial disclosure forms show CBS News"},{"title":"Companies Need To Redesign Around AI, Not Just Adopt It - Forbes","url":"https://news.google.com/rss/articles/CBMirAFBVV95cUxPLWI3YmdmZUx0LTFObnpoaS1VLUtfTDdPYzNJSkdXMGFaYXJMdTZNN19EN0VBbm13VWZzVzlKUTItQldTZTN4a1c3VlJhNnZ6TzVOWVlLWUViMEFEckVMOG9xb2RpTkdYTnVaY0lwSlQzQlJiUndxOGxRLTNvUUNOSl8wYnRPMG5peEpQcTUxVTliUDdoWFJwZlZyd0VxcVNTMmxzendTX1pINEh5?oc=5","publisher":"Forbes","date":"2026-04-08","snippet":"Companies Need To Redesign Around AI, Not Just Adopt It Forbes"},{"title":"Axiom Math's Carina Hong weighs in on the AI talent wars and the advantage of working at a neolab - MSN","url":"https://news.google.com/rss/articles/CBMimgNBVV95cUxNVzlxanJIR2NjTWR6eUNHV1N2d2N6Wk1pbko3ZllRdDNjM3Y5UnNicWFFODg3eWxfS3JrQ0FLazF6MTg3U1FoTUtNVE5CYklpNzJEREFJdXJZSlppbGJxNmhCSWRpZVZGMFdhLWxNVVFfVUx0T3h2TGNnaFB4U3ZsS3ViQXVLSjhTazVmMkx6VnNIRm5mV3U4N1NRRFJva0hCRncyRGtKZDFfRDRsME5yOGl4RUtsalJocU1tT2VkNGtiZThndkxrYzZYRHhHcGNPNFpWbFlCdW41Y1lPRlNMQWVUeEdqb0duZEE5dmZZaXR0Z1ZBUlhGcUxEc1lMLTBTSmZKYjc3VkpRLVRENG9MdFFuZkFLOGY0U2pja045czU4bGNzTzlKOVE0UEp0TDhwVXc2cTYyVHFWZ0pWNmF3UmFraVZWeTlwaXFDUzl4UnFaSVlpd1d0LVZSOGIxaW4xN1gwdTVCYjFvR3ZxREFObGdxNXB0Q2IzNXFvUXV5elY4M2Y1ZV9PNGhLVVF3eHFpNWFuMXpqZnhwQQ?oc=5","publisher":"MSN","date":"2026-04-14","snippet":"Axiom Math's Carina Hong weighs in on the AI talent wars and the advantage of working at a neolab MSN"}],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":30,"categories":[{"category":"engineering","count":17},{"category":"sales","count":6},{"category":"finance","count":5},{"category":"operations","count":2}],"experience_levels":[{"level":"senior","count":15},{"level":"mid","count":12},{"level":"entry","count":2},{"level":"executive","count":1}],"work_arrangements":[{"arrangement":"onsite","count":25},{"arrangement":"hybrid","count":5}],"top_titles":[{"title":"Solutions Engineer","count":2},{"title":"Account Executive, Enterprise","count":2},{"title":"Account Development Representative","count":2},{"title":"Technical Recruiter","count":1},{"title":"Technical Delivery","count":1},{"title":"Solutions Engineer - Partnerships","count":1},{"title":"Software Engineer, Site Reliability","count":1},{"title":"Post-Sales Strategy & Operations Lead","count":1},{"title":"Platform Engineer, Document Intelligence","count":1},{"title":"Integrations Engineer","count":1},{"title":"GTM Systems Lead","count":1},{"title":"GTM Recruiter","count":1},{"title":"GTM Engineer","count":1},{"title":"Forward Deployed Investor (AI Strategist)","count":1},{"title":"Forward Deployed Engineer","count":1}],"locations":[{"location":"new york city; san francisco, ca","count":11},{"location":"new york city","count":11},{"location":"london, uk; new york city","count":5},{"location":"london, uk","count":3}],"skills":[{"skill":"Python","required":9,"preferred":0,"total":9},{"skill":"Go","required":6,"preferred":0,"total":6},{"skill":"Kafka","required":5,"preferred":0,"total":5},{"skill":"Elasticsearch","required":5,"preferred":0,"total":5},{"skill":"PostgreSQL","required":5,"preferred":0,"total":5},{"skill":"Redis","required":5,"preferred":0,"total":5},{"skill":"Legal","required":2,"preferred":2,"total":4},{"skill":"APIs","required":4,"preferred":0,"total":4},{"skill":"Agentic Systems","required":0,"preferred":4,"total":4},{"skill":"Java","required":4,"preferred":0,"total":4},{"skill":"AWS","required":4,"preferred":0,"total":4},{"skill":"Salesforce","required":4,"preferred":0,"total":4},{"skill":"Communication","required":4,"preferred":0,"total":4},{"skill":"GTM Systems","required":3,"preferred":1,"total":4},{"skill":"Insurance","required":3,"preferred":0,"total":3},{"skill":"Consulting","required":3,"preferred":0,"total":3},{"skill":"AI Products","required":0,"preferred":3,"total":3},{"skill":"Cloud Platforms E.g. AWS","required":3,"preferred":0,"total":3},{"skill":"Prompt Engineering","required":3,"preferred":0,"total":3},{"skill":"Large Language Models","required":2,"preferred":1,"total":3}],"salary_stats":{"count":23,"min":125000,"q1":175000,"median":212500,"q3":230000,"max":310000},"job_types":[{"type":"full-time","count":30}],"latest_jobs":[{"id":"job_d0fa2300-332","title":"Technical Delivery","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4671837005","location":"New York City","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"

About the Role

\n

We are seeking a Technical Delivery expert to join our team in New York City. As a Technical Delivery expert, you will be responsible for owning the technical delivery of Hebbia deployments end-to-end.

\n

Responsibilities

\n\n

Requirements

\n\n

Compensation

\n

The salary range for this role is $120,000 - $200,000 + competitive equity.

","enriched_at":1777043935255},{"id":"job_dee03f1b-613","title":"Technical Recruiter","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4466959005","location":"New York City; San Francisco, CA","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"

About the Role

\n

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.

\n

Responsibilities

\n\n

Who You Are

\n","enriched_at":1776527411302},{"id":"job_ba26ba46-932","title":"Solutions Engineer - Partnerships","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4684835005","location":"New York City","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"About CODE\n\nHebbia is an AI platform for investors and bankers that generates alpha and drives upside.\n\nAs 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.\n\nResponsibilities\n\nOwn the technical strategy for partnership-driven deals, from discovery through close\nLead joint pre-sales motions with partners, activating integrations with market data providers, content platforms, and fintech systems\nDevelop a deep understanding of partner datasets, APIs, and system capabilities, and translate them into differentiated Hebbia solutions\nDesign and configure integrated AI-powered workflows that combine Hebbia with partner data and systems to create real-world value\nAct as the technical face of partnerships in the field, supporting co-selling, joint demos, and strategic accounts\nDeliver high-stakes integrated demos and solution narratives to senior stakeholders, showcasing cross-platform value\nIdentify gaps in integrations or positioning, and drive feedback loops to product and partnerships teams\nSurface risks early across multi-party deals, and align stakeholders to accelerate activation and deal progression\nEnable internal teams (Sales, Partnerships) with clear frameworks and best practices for positioning ecosystem value\n\nRequirements\n\n5+ years in a customer-facing technical role in complex enterprise environments (Solutions Engineering, Sales Engineering, Consulting, or similar)\nExperience 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)\nStrong understanding of the financial technology ecosystem and how systems and data integrate across workflows\nComfortable driving partnership or ecosystem-led pre-sales motions, including joint solutions and co-selling\nAble to translate complex, multi-system environments into clear, structured solution strategies\nStrong executive presence with a bias for ownership in high-ambiguity, performance-driven environments\n\nWhat Success Looks Like in 6–12 Months\n\nYou independently lead technical discovery, demos, and evaluations for partnership-driven opportunities, embedding partner data and systems into Hebbia solutions\nYou are a trusted partner to Sales and Partnerships, advancing deals by clarifying ecosystem value and strengthening joint solution narratives\nYou activate partnerships in the field, translating integrations into tangible customer outcomes across pre-sales and early deployments\nYou deliver integrated, high-impact demos that showcase Hebbia across market data, CRMs, and other fintech systems\nYou proactively identify risks across multi-system, multi-party environments and drive alignment on mitigation strategies\nYou meaningfully contribute to pipeline and revenue influenced by partnerships, improving win rates and deal velocity\nYou build reusable assets and playbooks that scale how Hebbia and partners position and deliver joint value\nYou provide structured feedback on integrations and ecosystem gaps, and are viewed internally as a go-to leader for partnership activation\n\nWhy Hebbia\n\nHebbia 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.","enriched_at":1776429512133},{"id":"job_ed25fe37-186","title":"Solutions Engineer","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4680820005","location":"London, UK","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"As a Solutions Engineer at Hebbia, you will be a revenue-critical leader who owns the technical strategy in complex, high-scrutiny enterprise evaluations. You will operate at the intersection of commercial leadership and AI execution, shaping structured solution strategies while proving real value during the buying process.\n\nYou 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.\n\nYou 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.\n\nKey responsibilities include:\n\n* Owning technical strategy from discovery through close in complex enterprise sales cycles\n* Leading rigorous technical discovery to understand workflows, data realities, constraints and executive success criteria\n* Translating ambiguous customer challenges into clear structured Hebbia solution frameworks\n* Designing and configuring tailored AI-powered workflows to prove differentiated value during evaluations\n* Delivering high-stakes live demos and technical discussions with senior stakeholders\n* Surfacing risks early, challenging assumptions, and shaping mitigation strategies that accelerate deal progression\n* Partnering closely with Sales to increase win rates, deal velocity, and executive confidence\n* Providing structured product feedback that sharpens positioning and informs roadmap decisions\n\nRequirements include:\n\n* 5+ years in a customer-facing technical role within complex enterprise sales environments (Solutions Engineering, Sales Engineering, Consulting, Implementation, or similar)\n* Deep experience with AI systems, data platforms, LLM-based workflows or decision intelligence platforms\n* Demonstrable executive presence, able to earn trust from C-Suite practitioners\n* Strong at structuring ambiguous problems into clear, defensible solution approaches\n* 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\n* Comfortable operating in high-expectation, performance-driven environments\n\nCompensation includes a 70:30 split between team and individual performance, with a combined base + bonus compensation range of $150,000 - $200,000 + competitive equity.","enriched_at":1776429502911},{"id":"job_2f153d9c-85f","title":"Post-Sales Strategy & Operations Lead","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4683245005","location":"New York City","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Operations","description":"Job Title: Post-Sales Strategy & Operations Lead\n\nLocation: New York City\n\nAbout Hebbia\n\nHebbia 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.\n\nThe Role\n\nWe'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.\n\nResponsibilities\n\n* 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\n* Lead strategic analyses to identify trends, gaps, and opportunities for process optimization; lead cross-functional projects to drive those optimizations\n* Design, build and manage a model that guides resource allocation globally by vertical\n* 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\n* Drive risk & upsell forecasting and provide actionable recommendations and process improvements to manage at-risk accounts\n* Ensure data cleanliness and accuracy within the GTM tech stack\n* Support the post-sales teams' operating cadence and business processes\n* Serve as the connective tissue between post sales and the rest of the GTM organization\n* Collaborate with Revenue Operations team on top-line metrics analyses, commission inquiries and disputes, and other ad-hoc reporting requests\n\nRequirements\n\n* 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\n* Excellent first-principles thinking skills\n* Strong analytical skills; ability to thoughtfully structure analyses, answer key business questions, and drive decision-making\n* 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\n* Experience in fast-paced environments and be comfortable working both as part of a team and independently\n* Demonstrated ability to prioritize workload and manage multiple concurrent projects\n* Strong verbal and written communication skills; ability to work effectively with cross-functional teams\n* 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\n* Familiarity with related GTM systems (Salesforce, Hubspot, Gong, Outreach, Apollo, Clay, etc.)\n\nWhat We Offer\n\n* The combined base + bonus compensation range (OTE) for this role is $160,000 - $220,000.\n* Unlimited PTO\n* Medical + Dental + Vision + 401K + Wellness Benefits\n* Catered lunch daily + doordash dinner credit\n* 3 months non-birthing parent, 4 months for birthing parent parental leave policy\n* $15k lifetime fertility benefits\n* Competitive equity package with unmatched upside potential","enriched_at":1776429501889},{"id":"job_77bbde4e-977","title":"Solutions Engineer","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4556367005","location":"New York City","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"As a Solutions Engineer at Hebbia, you will be a revenue-critical leader who owns the technical strategy in complex, high-scrutiny enterprise evaluations. You will operate at the intersection of commercial leadership and AI execution, shaping structured solution strategies while proving real value during the buying process.\n\nYou 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.\n\nYou 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.\n\nKey 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.\n\nRequired 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.\n\nBenefits 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.","enriched_at":1776429493494},{"id":"job_89e6976d-c57","title":"GTM Engineer","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4679666005","location":"New York City","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a GTM Engineer to own the technical backbone of our revenue engine. This is a builder role: you'll design, ship, and continuously improve the systems, automations, and AI-powered workflows that help our GTM teams operate at their best.\n\nYou'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.\n\nResponsibilities:\n\n* Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams\n* 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\n* Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each\n* 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\n* 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\n* Work closely with GTM and Operations to understand pain points, translate problems into technical solutions, and rollout processes and workflows\n\nRequirements:\n\n* 4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment\n* Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude\n* 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\n* Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket\n* Experience owning vendor relationships including renewals, evaluations, and contract negotiations\n* Experience in fast-paced environments and be comfortable working both as part of a team and independently\n* Demonstrated ability to prioritize workload and manage multiple concurrent projects\n* Strong verbal and written communication skills; ability to work effectively with cross-functional teams\n\nTotal cash compensation range for this role is $140,000 to $190,000.","enriched_at":1776429491971},{"id":"job_cda36f17-a29","title":"Client Partner","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4670226005","location":"London, UK; New York City","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Sales","description":"Job Title: Client Partner\n\nAbout Hebbia\n\nHebbia 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.\n\nAs 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.\n\nResponsibilities\n\n* 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.\n* 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.\n* Problem solving & triage: Triage customer needs across support resources, solving problems quickly and coordinating cross-functionally to remove blockers.\n* 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.\n* 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.\n* Commercial savviness: Understand the commercial context of customer contracts, flag risks, and identify opportunities to retain and grow revenue, contributing or even owning renewals.\n* 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.\n\nRequirements\n\n* Meaningful experience in customer-facing enterprise SaaS roles (Customer Success, Account Management, or Consulting), ideally with significant exposure to financial services customers or workflows.\n* Strong ownership mindset , you see white space or problems and take initiative to close gaps.\n* Distinctive analytical and problem-solving skills , able to interpret data, structure ambiguous questions, and quickly generate actionable solutions in complex customer environments.\n* 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.\n* Excellent relationship builder and communicator , able to inspire adoption and present credibly to both end users and executives in financial institutions.\n* Highly responsive, organised, and action-oriented; skilled at managing multiple priorities in a fast-moving environment.\n\nBonus\n\n* 3+ years of experience managing a portfolio of 10+ key accounts for SaaS products across Financial Services accounts.\n* Exhibits strong commercial instincts, consistently exceeding NRR numbers across assigned accounts, proactively expanding account relationships and driving upsell opportunities.\n* 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.\n\nCompensation\n\nOTE 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.\n\nLife @ Hebbia\n\n* PTO: Unlimited\n* Insurance: Medical + Dental + Vision + 401K + Wellness Benefits\n* Eats: Catered lunch daily + doordash dinner credit\n* Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent\n* Fertility benefits: $15k lifetime benefit\n* New hire equity grant: competitive equity package with unmatched upside potential","enriched_at":1776429484903},{"id":"job_a33319a8-9e5","title":"GTM Recruiter","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4645179005","location":"London, UK; New York City","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Sales","description":"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 GTM. You'll be a strategic partner to hiring managers and leadership by shaping hiring plans, translating business priorities into crisp role definitions, and guiding candidates through a high-bar, high-touch process.\n\nResponsibilities:\n\n* Own GTM talent pipeline: Lead full-cycle recruiting for Hebbia's commercial organization, including Sales, Sales Ops, Solutions, and Customer Success.\n* 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.\n* 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.\n* Deliver a world-class candidate experience: Ensure every candidate interaction is thoughtful, transparent, and high-integrity.\n\nWho You Are:\n\n* 4+ years experience recruiting for GTM roles in high-growth environments\n* Proven success and passion for building exceptional teams, not just filling seats\n* Experience in recruiting for GTM groups with flexibility to take on and quickly calibrate on new searches\n* Ability to manage multiple searches and priorities simultaneously\n* Effective communicator and ability to build strong partnerships with stakeholders and candidates\n* Confident in ability to navigate ambiguity and a fast-paced environment\n\nCompensation:\nThe 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.\n\nLife @ Hebbia:\n\n* PTO: Unlimited\n* Insurance: Medical + Dental + Vision + 401K + Wellness Benefits\n* Eats: Catered lunch daily + DoorDash dinner credit\n* Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent\n* Fertility benefits: $15k lifetime benefit\n* New hire equity grant: Competitive equity package with unmatched upside potential","enriched_at":1776429481913},{"id":"job_d44f63bb-9c5","title":"GTM Systems Lead","source_url":"https://job-boards.greenhouse.io/hebbia/jobs/4679879005","location":"New York City","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a GTM Systems Lead to own the technical backbone of our revenue engine. This is a builder role: you'll design, ship, and continuously improve the systems, automations, and AI-powered workflows that help our GTM teams operate at their best.\n\nYou'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.\n\nResponsibilities:\n\n* Identify, build, and iterate on AI-powered workflows using Hebbia, Claude, Clay, and adjacent tools for both pre- and post-sales teams\n* 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\n* Own, administer, and continuously improve our core GTM tools, serving as the internal subject matter expert for each\n* 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\n* 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\n\nCross-Functional Partnership:\n\n* Work closely with the GTM and Operations teams to understand pain points, translate problems into technical solutions, and rollout processes and workflows\n\nWho You Are:\n\n* 4 to 7 years of experience in Revenue Operations, GTM Systems, GTM Engineering, or a closely adjacent technical role in a B2B SaaS environment\n* Practical experience with prompt engineering and building AI-assisted workflows using LLM APIs or tools like Claude\n* 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\n* Comfortable working directly with APIs, webhooks, and data integrations. You can connect systems and debug sync issues without filing an engineering ticket\n* Experience owning vendor relationships including renewals, evaluations, and contract negotiations\n* Experience in fast-paced environments and be comfortable working both as part of a team and independently\n* Demonstrated ability to prioritize workload and manage multiple concurrent projects\n* Strong verbal and written communication skills; ability to work effectively with cross-functional teams\n\nCompensation:\n\n* 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.","enriched_at":1776429473779}],"category_normalised":[{"category":"engineering","count":17},{"category":"sales","count":6},{"category":"finance","count":5},{"category":"operations","count":2}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":29},{"week_start":"2026-04-20","count":1}],"trend":"stable","wow_pct":-97},"momentum":{"recent_14d":1,"prior_14d":29,"growth_pct":-97,"classification":"decelerating"},"salary_vs_industry":{"company_median":160000,"industry_median":null,"percentile":null,"sample_size":1,"by_region":[],"transparency_pct":3,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":30,"industry_total":30,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.275,"skill_weighted_score":0.293,"top_exposed_titles":[{"title":"Solutions Engineer","count":2,"score":0.199},{"title":"Account Executive, Enterprise","count":2,"score":0.173}],"top_exposed_skills":[{"skill":"AI Products","count":3,"score":0.346},{"skill":"Python","count":7,"score":0.337},{"skill":"Java","count":4,"score":0.288},{"skill":"Go","count":5,"score":0.288},{"skill":"Kafka","count":4,"score":0.288},{"skill":"Elasticsearch","count":4,"score":0.288},{"skill":"PostgreSQL","count":4,"score":0.288},{"skill":"Redis","count":4,"score":0.288},{"skill":"Legal","count":3,"score":0.182}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"Unknown","count":11,"share_pct":36.7},{"region":"United States","count":11,"share_pct":36.7},{"region":"United Kingdom","count":8,"share_pct":26.7}],"emerging":[{"region":"Unknown","recent_30d":11,"prior_30d":0,"growth_pct":100},{"region":"United States","recent_30d":11,"prior_30d":0,"growth_pct":100},{"region":"United Kingdom","recent_30d":8,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":0}}}}