GC AI

Build and lead an SDR team, develop scalable sales development processes, implement technology tools, and drive lead generation efforts. | At least 5 years in B2B SaaS sales or sales development with 2+ years in leadership, proven team-building and process design experience, and familiarity with sales tools and KPIs. | About The Role We are seeking an SDR Manager to build and lead our Sales Development Representative (SDR) team from the ground up at GC AI. Reporting to Andrew Conley (CRO), you will play a pivotal role in shaping our lead generation strategy and driving pipeline growth. This is a hands-on role with significant autonomy to hire a high-performing SDR team, establish scalable processes, and implement tools to fuel GC AI’s revenue goals. We’re looking for a dynamic leader who thrives in ambiguous, fast-paced environments, with proven expertise in B2B SaaS sales development, ideally in legal tech or AI-driven markets. You should have a track record of building SDR teams, creating effective processes, and delivering measurable results in lead generation and pipeline development. What You'll Do Build the SDR Function: Design and execute a sales development strategy to generate and qualify high-quality leads for in-house legal teams, driving pipeline growth to support GC AI’s enterprise sales goals. Hire and Lead an SDR Team: Recruit, onboard, and mentor a high-performing SDR team, fostering a culture of accountability, collaboration, and continuous improvement. Create Processes and Structure: Develop and document scalable sales development processes, including lead qualification, outreach cadences, pipeline handoff, and forecasting, to ensure consistent performance. Implement Technology and Tools: Select and integrate best-in-class sales development tools to enhance team efficiency and data-driven decision-making. Drive Lead Generation: Oversee outbound and inbound lead generation efforts, leveraging consultative approaches to engage legal department decision-makers (e.g., General Counsel, in-house counsel). Collaborate Cross-Functionally: Partner with Marketing, Sales, and Customer Success teams to align lead generation strategies, refine messaging, and optimize the handoff to Account Executives. Track and Report Performance: Define and monitor KPIs (e.g., lead volume, conversion rates, pipeline contribution, SDR quota attainment) to assess performance, identify bottlenecks, and drive improvements. Act as a Hands-On Leader: Balance strategic planning (e.g., setting team goals, designing playbooks) with tactical execution (e.g., coaching SDRs, refining outreach scripts) to establish a world-class SDR function. What You’ve Done 5+ years of experience in B2B SaaS sales or sales development, with at least 2 years in a leadership role managing SDRs or similar teams. Proven track record of building an SDR team from scratch or significantly scaling a sales development function in a high-growth startup or scale-up. Experience recruiting, training, and coaching SDRs to exceed lead generation and pipeline targets. Demonstrated ability to design and implement sales development processes, cadences, and technology stacks to drive predictable outcomes. Strong communication and coaching skills, with a history of engaging prospects and motivating teams in fast-paced environments. Analytical mindset, with expertise in leveraging CRM data (e.g., Salesforce, HubSpot) to optimize performance and report on KPIs. Self-starter mentality, comfortable navigating ambiguity and balancing strategic vision with hands-on execution. Nice To Have Experience in legal tech or selling to in-house legal teams. Familiarity with AI-driven software solutions or legal text processing. Proficiency with sales development tools Knowledge of sales methodologies. Track record of creating sales playbooks, training programs, or process documentation.

Design and conduct evaluations of AI outputs for legal accuracy and relevance, collaborating with engineering and legal teams. | Law degree with 3+ years of corporate or transactional legal experience, familiarity with AI in legal work, and strong analytical skills. | GC AI is the trusted AI platform for in-house legal teams. We help lawyers draft, review, and analyze with precision and confidence. More than 1,000 companies use GC AI to move faster and work smarter across their legal teams, including 50+ public companies, 25+ unicorns, and brands such as News Corp, Nextdoor, Skims, Liquid Death, Vercel, Zscaler, and TIME Inc. We’ve 10x'd revenue in the past 12 months, raised a $60 million Series B ($555 million valuation), and are growing faster than ever. We are backed by incredible investors, including Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel. Come build the future of legal AI with us! About The Role As a Legal Engineer, you’ll be instrumental in measuring and continually improving the substantive accuracy and quality of the legal information we provide. We're delivering a product that legal teams love, and in this role, you’ll leverage your corporate-commercial/transactional legal experience to guide our AI toward practical excellence. You’ll set the bar for how legal AI behaves—optimizing system prompts, designing evaluations, and ensuring every output aligns with real-world legal standards. At a fast-moving, product-market-fit stage startup, your contributions won’t just be meaningful, they’ll help define our trajectory. The Impact You Will Have • Shape the accuracy, reliability, and overall quality of AI outputs that hundreds of legal teams trust in their daily work. • Lead the development of cutting-edge legal evaluations that set new standards for assessing AI in practice. • Drive product enhancements by translating substantive expertise into features that improve usability, confidence, and outcomes for users. • Help build the leading legal AI platform for in-house teams. What You’ll Do • Design and run rigorous evaluations measuring the quality of our AI-generated outputs in order to ensure they meet the high standards expected by top-tier legal professionals. • Review and validate product outputs for accuracy, relevance, comprehensiveness, helpfulness, etc. • Collaborate closely with the engineering and GTM teams to identify performance gaps, diagnose their causes, and develop solutions. • Translate nuanced, real-world legal expectations into concrete, testable prompts and evaluation criteria. • Draft and iterate on system prompts for our various AI systems. • Assess foundational model performance and suitability for different legal tasks. • Build and annotate complex legal datasets and document collections. • Serve as the legal voice of quality, advocating for precision, consistency, and clarity in AI outputs. • Act as the bridge between technical teams and legal domain expertise, translating complex legal concepts into clear product requirements and vice versa. • Provide domain-specific legal expertise that guides feature development and product roadmap decisions. • Ideate new products based on your deep understanding of legal teams’ pain points. • Participate in customer calls and feedback sessions. • Proactively develop and continually learn new technical skills. • Take on additional projects and tasks as needed in response to the evolving needs of a fast-growing startup. Required Experience • Law degree with 3+ years of corporate-commercial/transactional legal experience, ideally gained in an in-house environment. • Deep familiarity with drafting, review, and negotiating of contracts. • Experience using generative AI for legal work. • Experience conducting evaluations of generative AI outputs. • Strong quantitative and analytical skills. • Ability to design and interpret evaluation metrics and to abstract legal reasoning and processes into logical and repeatable steps. • Exceptional cross-disciplinary communication and collaboration skills. • Technologically curious with an aptitude for learning new tools, software, and skills. • Meticulous attention to detail. • Ability to work cross-functionally with both GTM and engineering/product teams. Nice To Have • You are already a GC AI user. • You’re nerdy about legal tech, especially in areas like prompt engineering and quality assurance. • You care about user experience, especially how legal professionals interact with and trust AI assistants. • You’ve worked closely with software engineers before. Compensation GC AI's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles. We also offer exceptional benefits, as well as commission plans for applicable roles. Our US-based compensation range for this role is $150,000 – $200,000. Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors. GC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Design and conduct evaluations of AI outputs for legal accuracy and relevance, collaborating with engineering teams to improve product quality. | Requires a law degree, U.S. legal practice license, 3+ years of legal experience, and familiarity with AI in legal contexts. | About The Role As a Legal Engineer, you’ll be instrumental in measuring and continually improving the substantive accuracy and quality of the legal information we provide. We're delivering a product that legal teams love, and in this role, you’ll leverage your legal experience to guide our AI toward practical excellence. You’ll set the bar for how legal AI behaves—optimizing system prompts, designing evaluations, and ensuring every output aligns with real-world legal standards. At a fast-moving, product-market-fit stage startup, your contributions won’t just be meaningful; they’ll help define our trajectory. The Impact You Will Have Shape the accuracy, reliability, and overall quality of AI outputs that hundreds of legal teams trust in their daily work. Lead the development of cutting-edge legal evaluations that set new standards for assessing AI in practice. Drive product enhancements by translating substantive expertise into features that improve usability, confidence, and outcomes for users. Help build the leading legal AI platform for in-house teams. What you’ll do Design and run rigorous evaluations measuring the quality of our AI-generated outputs in order to ensure they meet the high standards expected by top-tier legal professionals. Review and validate product outputs for accuracy, relevance, comprehensiveness, helpfulness, etc. Collaborate closely with the engineering and GTM teams to identify performance gaps, diagnose their causes, and develop solutions. Translate nuanced, real-world legal expectations into concrete, testable prompts and evaluation criteria. Draft and iterate on system prompts for our various AI systems. Assess foundational model performance and suitability for different legal tasks. Build and annotate complex legal datasets and document collections. Serve as the legal voice of quality, advocating for precision, consistency, and clarity in AI outputs. Act as the bridge between technical teams and legal domain expertise, translating complex legal concepts into clear product requirements and vice versa. Provide domain-specific legal expertise that guides feature development and product roadmap decisions. Ideate new products based on your deep understanding of legal teams’ pain points. Participate in customer calls and feedback sessions. Proactively develop and continually learn new technical skills. Take on additional projects and tasks as needed in response to the evolving needs of a fast-growing startup. Required Experience Law degree. License to practice law in a U.S. jurisdiction. 3+ years of legal experience, ideally gained in an in-house environment in a product, regulatory, or litigation counsel role. Deep familiarity with U.S. legal research and regulatory law. Experience using generative AI for legal work. Experience conducting evaluations of generative AI outputs. Strong quantitative and analytical skills. Ability to design and interpret evaluation metrics and to abstract legal reasoning and processes into logical and repeatable steps. Exceptional cross-disciplinary communication and collaboration skills. Technologically curious with an aptitude for learning new tools, software, and skills Meticulous attention to detail. Ability to work cross-functionally with both GTM and engineering/product teams. Nice To Have You are already a GC AI user. You’re nerdy about legal tech, especially in areas like prompt engineering and quality assurance. You care about user experience, especially how legal professionals interact with and trust AI assistants. You’ve worked closely with software engineers before. In addition to U.S. expertise, you are familiar with the law of other countries.

Lead and develop enterprise sales strategy, build and manage a high-performing sales team, and close high-value deals with legal industry clients. | 7+ years in enterprise B2B SaaS sales with at least 3 years in leadership, proven track record of exceeding revenue targets, experience with complex sales cycles and C-level engagement, preferably in legal tech or AI-driven solutions. | About The Role We are seeking an Enterprise Sales Director to lead our enterprise sales strategy and drive revenue growth at GC AI. Reporting to Andrew Conley (CRO), you will have significant visibility into company-wide initiatives and the autonomy to shape our enterprise sales approach. You will be a strategic leader, responsible for building and leading a high-performing sales team, forging relationships with key legal industry buyers, and closing high-value deals. We’re looking for a proven sales leader who thrives in fast-paced, ambiguous environments, with deep expertise in enterprise B2B SaaS sales, ideally in legal tech or AI-driven markets. You should have a track record of driving multimillion-dollar deals, leading teams to exceed quotas, and aligning with cross-functional teams to deliver measurable results. What You'll Do Develop Enterprise Sales Strategy: Design and execute a comprehensive enterprise sales strategy to target in-house legal teams, driving pipeline growth and closing high-value deals to fuel GC AI’s revenue goals Lead and Build a Sales Team: Recruit, train, and mentor a high-performing enterprise sales team, fostering a culture of accountability, collaboration, and excellence Drive Strategic Deals: Identify, pursue, and close complex, deals with Fortune 1000 legal departments, leveraging consultative selling and relationship-building Optimize Sales Processes: Develop and implement scalable sales processes, including pipeline management, forecasting, and deal structuring, to ensure consistent performance Collaborate Cross-Functionally: Partner with Marketing, Product, Customer Success, and Partnerships teams to align go-to-market strategies, refine messaging, and enhance buyer experiences Leverage Technology and Tools: Utilize and implement sales technologies to streamline operations and improve team efficiency Track and Report Performance: Define and monitor KPIs (e.g., quota attainment, deal size, sales cycle length, win rates) to assess performance, identify opportunities, and drive data-driven decisions Act as a Strategic Leader: Balance hands-on deal execution with strategic leadership to set the vision for enterprise sales and contribute to GC AI’s growth roadmap What You’ve Done 7+ years of experience in enterprise B2B SaaS sales, with at least 3 years in a sales leadership role Proven track record of leading teams to consistently exceed revenue targets and closing multimillion-dollar deals in a high-growth startup or scale-up Experience recruiting, training, and managing high-performing enterprise sales teams. Demonstrated ability to design and implement sales strategies, processes, and tools to drive predictable revenue growth Exceptional communication and relationship-building skills, with a history of engaging C-level stakeholders (e.g., General Counsel, CLOs) and driving consensus in complex sales cycles Strong analytical skills, with expertise in leveraging data to run your business to optimize sales performance Self-starter mentality, thriving in fast-paced environments and balancing strategic planning with tactical deal execution Nice to Have Experience selling to in-house legal teams or familiarity with the legal tech market. Knowledge of AI-driven software solutions or legal text processing. Proficiency with enterprise sales tools Experience with sales methodologies like MEDDICC or Command of the Message. Track record of contributing to sales playbooks or training programs.

Managing recruitment processes, building talent pipelines, and collaborating with leadership. | 6+ years of recruiting experience, experience in high-growth tech environments, and strong communication skills. | About The Role This is a full-cycle recruiting role. You’ll manage the entire recruitment process for high-volume roles from sourcing to closing offers. You’ll be one of the first Recruiters at GC AI, working directly with our CMO, Success, and Finance leadership to build world-class teams. This is a great opportunity for someone who wants to help lay the foundational groundwork for hiring as we scale. We’re looking for a motivated startup operator who wants to take their career to the next level. What You'll Do Source, qualify, and hire top-tier talent for our Marketing, G&A, and Success teams. Act as a strategic talent partner to C-Level executives Track and report on hiring metrics Manage multiple concurrent searches Build job descriptions, interview rubrics, and process improvements Use modern recruiting tools, including Gem and LinkedIn Recruiter Represent GC AI as the face of the company in every candidate interaction What You’ve Done 6+ years of recruiting experience Experience working in an early-stage high-growth tech company Proven track record of sourcing passive top-tier Marketing and G&A talent Demonstrated ability to manage multiple stakeholders while managing a high volume of candidates Exceptional communication and relationship-building skills Strong analytical skills, with expertise in using data to optimize recruiting Self-starter mentality, thriving in fast-paced environments, and focused on execution Nice To Have Agency recruiting experience Technical recruiting experience Experience with Gem

Managing recruitment processes, sourcing talent, and building hiring strategies in a startup environment. | Requires 6+ years of technical recruiting experience, experience in high-growth tech companies, and strong data-driven decision skills. | About The Role This is a full-cycle recruiting role. You’ll manage the entire recruitment process from sourcing to closing offers. You’ll be one of the first Technical Recruiters at GC AI, working directly with our CTO and Engineering leadership to build a world class Engineering team. This is a great opportunity for someone who wants to help lay the foundational groundwork for technical hiring as we scale. We’re looking for a motivated startup operator who wants to take their career to the next level. What You'll Do Source, qualify, and hire top tier technical talent for our Engineering and Product teams. Act as a strategic talent partner to C-Level executives and founders Track and report on hiring metrics Manage multiple concurrent searches Build job descriptions, interview rubrics, and process improvements Use modern recruiting tools including Gem and LinkedIn Recruiter Represent GC AI as the face of the company in every candidate interaction What You’ve Done 6+ years of technical recruiting experience Experience working in an early stage high growth tech company Proven track record of sourcing passive top tier technical talent Demonstrated ability to design and implement recruiting processes and strategies. Exceptional communication and relationship-building skills Strong analytical skills, with expertise in using data to optimize recruiting Self-starter mentality, thriving in fast-paced environments and focused on execution Nice To Have Agency recruiting experience Experience hiring AI Engineers Experience with Gem

Build and lead a revenue operations function, develop scalable processes, select technology, and align teams to drive revenue growth. | 7+ years in revenue or sales operations, leadership experience, proven ability to build from scratch in SaaS or AI environments, strong cross-functional collaboration skills. | About The Role We are seeking a Head of Revenue Operations to build and lead our revenue operations function from the ground up at GC AI. This role will report to Andrew Conley (CRO). You will have unparalleled visibility into company-wide initiatives and the autonomy to shape the strategy and execution of marketing, sales, customer, and partner operations. You will be a hands-on operator and visionary strategist, responsible for hiring and building a high-performing team, establishing scalable processes, and selecting the right technology stack to drive revenue growth. We’re looking for a self-starter who thrives in ambiguous, fast-paced environments, with deep expertise in revenue operations and a proven ability to go from 0 to 1. Ideally, you’ve built revenue operations functions or led transformative initiatives independently, not just supported senior leaders, and are passionate about aligning cross-functional teams to deliver measurable outcomes in a legal tech, AI-driven market. What You'll Do Build Revenue Operations from the Ground Up: Design and implement a comprehensive revenue operations strategy, encompassing marketing, sales, customer, and partner operations, to optimize the end-to-end revenue lifecycle and drive sustainable growth. Hire and Lead a Team: Recruit, onboard, and mentor a high-performing revenue operations team, fostering a culture of collaboration, accountability, and excellence. Create Processes and Structure: Develop and document scalable processes for demand generation, sales forecasting, pipeline management, customer retention, and partner strategy Select and Implement Technology: Identify, acquire, and integrate a best-in-class technology stack to support revenue operations and enhance team efficiency. Drive Cross-Functional Alignment: Partner with Sales, Marketing, Product, Customer Success, and Partnerships teams to align strategies, streamline workflows, and ensure consistent messaging and execution for legal industry buyers. Optimize Revenue Performance: Translate go-to-market initiatives into actionable programs that fuel pipeline growth, accelerate deal cycles, improve win rates, and maximize customer lifetime value. Measure and Report Impact: Define and track KPIs (e.g., revenue growth, pipeline velocity, customer retention rates, partner contribution) to assess performance, identify bottlenecks, and drive data-driven decisions. Act as a Strategic Doer: Balance hands-on execution (e.g., building playbooks, configuring tools, training teams) with strategic leadership to set the vision and roadmap for revenue operations. What You’ve Done 7+ years of experience in revenue operations, sales operations, marketing operations, or related roles, with at least 3 years in a leadership position. Proven track record of building revenue operations functions or leading transformative initiatives from scratch in a B2B SaaS environment, ideally in legal tech or AI-driven software. Experience recruiting, hiring, and managing cross-functional teams in a high-growth startup or scale-up. Demonstrated ability to design and implement processes, structures, and technology stacks for marketing, sales, customer, and partner operations. Exceptional communication and collaboration skills, with the ability to align diverse stakeholders and drive consensus in ambiguous settings. Strong analytical mindset, with expertise in defining KPIs, leveraging data, and optimizing revenue performance. Self-starter mentality, with a history of thriving in fast-paced environments and balancing strategic planning with tactical execution. Nice to Have Familiarity with the legal domain or legal text processing. Experience with AI technologies Proficiency with revenue operations tools Experience with sales methodologies like MEDDICC/Command of the Message. Track record of implementing technology stacks or contributing to technical/process documentation.

Architect and build the file processing backbone, including upload systems and two-way sync engines. Design and implement document parsing pipelines to transform raw files into AI-ready data. | Candidates should have 3+ years of experience in building production backend systems and strong expertise in Node.js, TypeScript, and React. A track record of building API integrations with enterprise systems and a solid understanding of Postgres and database design is also required. | About The Role As the Backend Integration Engineer at GC AI, you’ll be the architect behind the data infrastructure that powers how legal teams leverage AI in their daily work. This role goes far beyond building APIs; you’ll be designing the intelligent backbone that transforms raw documents into structured, AI-ready data and keeps our integrations seamless at scale. You’ll take ownership of critical systems like file ingestion pipelines, two-way sync engines, and document parsing workflows that thousands of users rely on every day. Working closely with our founding team and a group of exceptional engineers, you’ll have the autonomy to make key technical decisions, balance performance with security, and shape how our platform grows. Why This Role Matters Our platform serves thousands of users who will depend on these integrations daily. You'll be the key architect ensuring our data foundation remains robust, secure, and blazing-fast as we scale. This is a chance to own crucial infrastructure that directly impacts how legal teams harness the power of AI. You'll be the driving force behind our platform's data foundation, architecting and implementing the critical systems that power our AI capabilities. What You'll Do Architect and build our file processing backbone, from sophisticated upload systems to seamless two-way sync engines. Design and implement document parsing pipelines that transform raw files into AI-ready data. Shape the technical decisions that balance speed, security, and code quality as we scale. Collaborate with our team of exceptional engineers to push the boundaries of what's possible. Impact You'll Have Deliver reliable, secure connectors to the systems counsel's lives in (docs, email, chat, ticketing) to unlock end-to-end workflows. Launch admin features (SSO/SCIM, audit logs, DLP hooks) that make enterprise IT say “yes” faster. Reduce integration breakage and latency via resilient job orchestration, backoffs, and health visibility. Help build the leading legal AI platform for in-house teams. Required Experience 3+ years of experience building production backend systems. Strong expertise in Node.js, TypeScript, and React. Track record of building API integrations with enterprise systems (Salesforce, Hubspot, SharePoint, Google Drive). Solid understanding of Postgres and database design. Nice To Have Experience with modern ORM systems like Drizzle or Prisma. Familiarity with iPaaS platforms (Paragon, Integration.dev, Airbyte). GCP knowledge. ElasticSearch experience. The Mindset Problem Solver: You come alive tackling complex challenges without obvious solutions. Ownership-Driven: You take initiative without needing direction and focus on outcomes. Continuous Learner: Your curiosity drives you to constantly level up your engineering skills. Startup DNA: You thrive in fast-paced environments where responsibilities evolve.