Crunchbase

• Own and manage Crunchbase’s day-to-day social media presence across LinkedIn, X, YouTube, Instagram, Facebook, and emerging platforms • Develop and maintain a social and editorial calendar aligned to company priorities, industry trends, and timely market conversations • Create platform-native content including written posts, short-form videos, carousels, clips, and data-driven visual content • Identify and amplify unique stories using Crunchbase data, including startup funding trends, acquisition activity, founder momentum, and market shifts • Shape and evolve Crunchbase’s social voice to be insightful, engaging, and credible with founders, investors, operators, and enterprise buyers • Monitor platform trends, audience behavior, internet culture, and emerging content formats to identify opportunities for experimentation and audience growth • Analyze content performance, engagement metrics, and competitive activity to continuously optimize strategy and execution • Develop and execute Crunchbase’s community engagement strategy across relevant online communities and forums • Build and maintain Crunchbase’s presence on Reddit through thoughtful participation and audience engagement • Own Crunchbase’s G2 presence, including review generation, responses, reputation management, and audience engagement initiatives • Identify additional communities, forums, and industry spaces where Crunchbase should actively contribute, including Slack groups, Quora, and niche business communities • Monitor community conversations and surface insights, customer pain points, recurring themes, and market opportunities back to internal stakeholders • Strengthen Crunchbase’s visibility and credibility across online conversations influencing brand perception and buying decisions • Help position Crunchbase as a trusted and influential voice across startup, investment, and technology conversations • Experiment with new content formats, emerging platforms, and AI-powered discovery experiences to expand audience reach and engagement • Partner cross-functionally with Marketing, Communications, Product Marketing, and Revenue teams to align messaging and campaign priorities • Support broader brand awareness, thought leadership, and audience growth initiatives through strategic social and community engagement

• Own product experiences and systems that influence acquisition, conversion, monetization, expansion, and retention • Develop and evolve monetization strategies across pricing, packaging, subscriptions, billing, and account growth experiences • Identify opportunities to improve customer value realization while driving business growth • Prioritize initiatives based on customer impact, revenue opportunity, and strategic alignment • Lead the design, testing, and optimization of pricing and packaging models across products and customer segments • Own product requirements and execution for pricing, packaging, billing, checkout, upgrade, downgrade, and cancellation experiences • Partner with Engineering and Finance to ensure accurate implementation of monetization systems and policies • Monitor pricing performance and recommend changes based on customer behavior, market dynamics, and business goals • Own self-service growth opportunities across the customer journey, including acquisition, onboarding, activation, conversion, and expansion • Identify and optimize friction points within key conversion funnels • Partner with Marketing and Revenue teams to improve growth experiences across web, product, and lifecycle touchpoints • Evaluate emerging opportunities such as AI search, answer engine optimization (AEO), and new customer acquisition channels • Own enterprise administration capabilities that support team management, user provisioning, permissions, billing administration, and account governance • Partner with Revenue and Customer Success teams to identify opportunities that improve account expansion and team adoption • Improve administrative experiences that support both self-service and sales-assisted customer motions • Leverage analytics, experimentation, and AI-powered tools to understand customer behavior, usage patterns, conversion drivers, and pricing sensitivity • Define success metrics and monitor business performance across monetization and growth initiatives • Use data and customer research to identify opportunities and validate product decisions • Utilize AI-enabled tools to accelerate research, analysis, experimentation, and product development workflows • Partner closely with Engineering, Design, Revenue Operations, Marketing, Finance, Sales, and Customer Success to deliver growth and monetization initiatives • Align stakeholders around priorities, success metrics, and business outcomes • Communicate product strategy, tradeoffs, progress, and results to technical and non-technical audiences

• Build and evolve investor-facing product experiences that improve Crunchbase’s value to investors, venture firms, founders, and venture ecosystem participants. • Establish and operate structured feedback loops, including advisory groups, beta programs, early access cohorts, customer interviews, demos, office hours, and product feedback channels. • Act as the voice of investors and venture ecosystem users within the Product organization. • Translate qualitative feedback and behavioral signals into product requirements, experiments, prototypes, and roadmap recommendations. • Identify opportunities to improve investor engagement, adoption, satisfaction, and product-market fit. • Partner with Product, Design, Engineering, Revenue, and Operations teams to convert investor insights into high-impact product opportunities. • Measure the impact of investor-facing initiatives using adoption, engagement, retention, satisfaction, and business outcome metrics. • Build internal AI-powered tools and workflows that improve operational efficiency across Crunchbase. • Identify manual, fragmented, repetitive, or brittle workflows and replace them with scalable internal systems. • Design and implement tools that integrate data, AI models, automation, APIs, and user workflows. • Deploy tools in limited-access internal environments for use by Crunchbase teams. • Own the ongoing maintenance, debugging, documentation, and improvement of the internal tools you build. • Ensure internal tools are reliable, secure, observable, and maintainable for their intended use case. • Help internal teams adopt AI-powered workflows in practical, measurable ways. • Define product opportunities, user problems, business requirements, and success metrics. • Prioritize initiatives based on user impact, business value, urgency, and implementation complexity. • Translate ambiguous problems into clear requirements, technical approaches, prototypes, and shipped solutions. • Break initiatives into iterative milestones and manage delivery from discovery through launch and post-launch optimization. • Make thoughtful tradeoffs across speed, quality, usability, maintainability, cost, and risk. • Measure adoption, engagement, operational impact, and business outcomes after launch. • Write, modify, debug, and maintain code using modern AI-assisted development workflows. • Use vibe coding, spec-to-code workflows, rapid prototyping, and iterative development to move quickly from problem definition to working software. • Build prototypes and production-ready internal tools that real users can rely on in limited-access environments. • Integrate data sources, APIs, AI models, automation platforms, and user interfaces into functional workflows. • Own performance, reliability, documentation, and ongoing improvements for the systems you build. • Know when a solution is appropriate for direct ownership and when it requires deeper Engineering partnership for scale, security, or long-term infrastructure needs. • Partner with Product, Design, Engineering, Revenue, Operations, and business teams to identify high-impact product and operational opportunities. • Work directly with investors, customers, and internal stakeholders to understand needs and validate solutions. • Communicate clearly about priorities, tradeoffs, technical constraints, risks, and expected outcomes. • Contribute to the evolution of modern product development practices across Crunchbase.

• Independently review, draft, and negotiate a high volume of complex commercial agreements, including: SaaS (outbound and inbound), Data-as-a-Service (DaaS), Enterprise and strategic customer agreements, Cloud, reseller, and partnership agreements, Vendor and professional services agreements, Marketing and advertising agreements • Partner closely with Sales and Revenue leadership to structure deals that align with company's risk tolerance and strategic priorities • Advise internal stakeholders on legal, financial, and operational risk in commercial transactions and clearly communicate trade-offs • Support RFPs and customer due diligence processes, including negotiation of security and compliance terms • Provide guidance on privacy and data protection laws (e.g., GDPR, CCPA/CPRA and evolving U.S. state privacy laws) as they relate to product features, customer agreements, and marketing initiatives • Partner with Security and Product teams to support customer responses to data protection and information security questionnaires • Assist in the development, implementation, and maintenance of internal compliance policies and processes • Advise on legal and regulatory considerations related to AI-enabled products and internal AI use, including: Data usage rights and training data considerations, IP ownership and licensing issues, Transparency and disclosure requirements, Contractual allocation of AI-related risk • Draft and negotiate AI-specific contractual provisions (e.g., model usage, output ownership, indemnification, acceptable use, and compliance representations) • Support the development of internal AI governance policies, including acceptable use, vendor evaluation, and risk assessment frameworks • Partner cross-functionally to evaluate AI vendors and embedded AI technologies from a contractual and compliance perspective • Leverage AI-enabled tools within Legal to improve contract intake, template population, redline comparison, issue spotting, clause extraction, research, and knowledge management—while ensuring responsible and secure use • Contribute to the continuous improvement of legal templates, playbooks, and clause libraries to enhance scalability and consistency • Identify recurring negotiation themes and recommend process or policy adjustments to reduce friction and accelerate deal cycles • Support implementation and optimization of contract lifecycle management (CLM) and other legal technology tools • Develop practical guidance and training materials for Sales and other internal stakeholders on contracting best practices • Provide practical legal advice to Product, Marketing, Finance, and People teams on commercial and operational matters • Collaborate with outside counsel as needed on specialized or escalated matters • Support claims, disputes, and general corporate matters as assigned

• Develop and lead integrated ABM and demand generation strategies that drive awareness, engagement, pipeline, and revenue across target enterprise accounts and priority segments • Design programs that engage enterprise buying groups and personas for our data set, including executive, technical, operational, and functional stakeholders • Build marketing motions that support long-cycle enterprise sales opportunities and multi-touch engagement strategies • Translate account, persona, and vertical insights into targeted marketing programs that improve account penetration and sales conversion • Build, launch, and optimize multi-channel marketing campaigns across digital, paid media, email, content syndication, events, publications, web, and content marketing channels • Own campaign planning, audience segmentation, messaging alignment, execution timelines, and performance metrics and reporting • Support website, landing page, and conversion optimization strategies to improve campaign performance and engagement • Lead pipeline generation reporting and performance analysis across enterprise marketing programs • Track and analyze campaign influence, sourced pipeline, account engagement, lead-to-opportunity conversion, funnel progression, and stage conversion metrics • Pull and interpret campaign and pipeline data from Salesforce and related systems to identify trends and communicate performance insights to leadership • Partner closely with Revenue Operations and Lifecycle teams to align lead scoring, pre-sales funnel stages, handoff processes, and account progression strategies across the customer journey

• Define and lead the company’s IT strategy, ensuring internal systems, infrastructure, and technology operations operate efficiently and scale effectively • Establish long-term operational roadmaps for enterprise systems, endpoint management, networking, collaboration platforms, and employee technology experience • Drive modernization and optimization of internal technology ecosystems through automation, integration, and operational design • Lead strategic planning for IT architecture, business continuity, disaster recovery, and operational resilience • Establish operational standards, governance models, and lifecycle management practices across enterprise technology systems • Oversee enterprise technology vendors, procurement strategy, and platform investments to ensure operational efficiency, scalability, and cost effectiveness • Ensure internal technology operations support organizational productivity, security, and long-term business objectives • Define and lead the company’s enterprise cybersecurity and risk management strategy • Establish scalable security governance frameworks, policies, and operational controls that protect company systems, data, and users • Oversee enterprise compliance and certification programs and other applicable security and regulatory standards • Partner with executive leadership to proactively identify, assess, and mitigate operational and cybersecurity risks • Lead organizational security strategy across identity management, endpoint security, access governance, incident response, and third-party risk management • Ensure the company maintains audit readiness and operational compliance through scalable controls, processes, and documentation practices • Drive company-wide security awareness and risk management practices that strengthen organizational resilience • Define and lead the company’s enterprise AI enablement strategy, driving adoption of AI technologies across business functions to improve operational scale, efficiency, and decision-making • Partner with executive leadership to identify high-impact opportunities for AI, automation, and intelligent workflow transformation across the organization • Establish governance frameworks, operational standards, and best practices for responsible and secure AI usage • Drive modernization of internal systems and workflows through AI-powered tooling, automation, and process redesign • Evaluate and implement emerging technologies that improve organizational effectiveness and reduce operational friction • Partner cross-functionally to ensure AI initiatives align with business priorities, security standards, and long-term operational strategy • Promote organization-wide AI fluency and enablement through tooling, education, and operational guidance • Define the strategy for employee technology experience across a distributed workforce, ensuring scalable, secure, and efficient operational support • Oversee initiatives that improve employee productivity, onboarding experiences, collaboration, and operational enablement through technology and automation • Oversee operational support for remote employees and a small onsite office environment, ensuring alignment with company standards and business continuity needs • Define the strategic roadmap for enterprise technology, cybersecurity, and internal operational systems • Serve as a key cross-functional leader partnering with Product, Engineering, Finance, Legal, People, and executive leadership to align technology investments with company priorities • Lead organizational planning for enterprise systems, operational scalability, security posture, and AI transformation initiatives • Build, mentor, and develop high-performing teams while fostering a culture of innovation, accountability, and operational excellence

• Commercial Contracting & Revenue Support: Independently review, draft, and negotiate a high volume of complex commercial agreements, including SaaS (outbound and inbound), Data-as-a-Service (DaaS), Enterprise and strategic customer agreements, Cloud, reseller, and partnership agreements, Vendor and professional services agreements, Marketing and advertising agreements. • Partner closely with Sales and Revenue leadership to structure deals that align with company's risk tolerance and strategic priorities. • Advise internal stakeholders on legal, financial, and operational risk in commercial transactions and clearly communicate trade-offs. • Support RFPs and customer due diligence processes, including negotiation of security and compliance terms. • Data Privacy, Security & Regulatory Compliance: Provide guidance on privacy and data protection laws (e.g., GDPR, CCPA/CPRA and evolving U.S. state privacy laws) as they relate to product features, customer agreements, and marketing initiatives. • Partner with Security and Product teams to support customer responses to data protection and information security questionnaires. • Assist in the development, implementation, and maintenance of internal compliance policies and processes. • AI Governance & Emerging Technology: Advise on legal and regulatory considerations related to AI-enabled products and internal AI use, including: Data usage rights and training data considerations, IP ownership and licensing issues, Transparency and disclosure requirements, Contractual allocation of AI-related risk, Draft and negotiate AI-specific contractual provisions (e.g., model usage, output ownership, indemnification, acceptable use, and compliance representations). • Legal Operations & Process Improvement: Contribute to the continuous improvement of legal templates, playbooks, and clause libraries to enhance scalability and consistency. Identify recurring negotiation themes and recommend process or policy adjustments to reduce friction and accelerate deal cycles. Support implementation and optimization of contract lifecycle management (CLM) and other legal technology tools.

• Build and scale a product-centered community: Design and launch a structured community program aligned to product and business goals • Evaluate, select, and implement the appropriate community platform • Establish advisory councils, product councils, beta groups, and early access cohorts • Develop and nurture engagement across Slack, Discord, LinkedIn, Discourse, Circle, and emerging platforms • Foster high-quality discussions that generate meaningful product insights • Act as the voice of the community within the Product organization • Translate qualitative feedback into structured, actionable insights • Partner closely with Product, Design, and Engineering to influence prioritization • Run tight feedback loops on new features and iterations • Communicate roadmap updates and product decisions clearly back to the community • Serve as a product evangelist within the community • Host live demos, roadmap previews, AMAs, office hours, and onboarding sessions • Create excitement around product evolution grounded in real progress • Increase user activation, feature adoption, and retention • Support expansion through product fluency and education • Spin up scrappy prototypes, AI-powered workflows, and lightweight experiments to test ideas live • Use AI tools to rapidly mock up features, flows, and product concepts • Build alongside users during live conversations to validate hypotheses • Ensure community insights translate into measurable product and revenue impact

• Identify and Eliminate Operational Friction : Identify manual, repetitive, or brittle workflows across the organization • Redesign processes using AI, automation, and system-level improvements • Reduce low-leverage work to create space for higher-value thinking • Improve interoperability, reliability, and observability across internal systems • Build and Ship Internal AI Applications : Rapidly design, prototype, and launch AI-driven internal applications • Turn rough ideas into working solutions that can be tested and validated quickly • Use lightweight, iterative development approaches to accelerate time-to-value • Continuously refine and improve tools based on real-world usage and feedback • Drive Practical AI Adoption : Push the organization toward applied, usable AI — not experimentation for its own sake • Evaluate emerging AI tools and technologies for pragmatic internal use cases • Help teams rethink how work gets done in an AI-enabled operating model • Ensure AI implementations drive measurable efficiency, speed, or quality improvements • Partner Across the Business : Work directly with business leaders to understand operational pain points • Translate ambiguous needs into structured product and technical solutions • Operate comfortably across Product, Engineering, and business functions • Align solutions with company-wide goals and measurable outcomes

• Own the team’s technical outcomes by ensuring the right technical discussions happen, risks are surfaced, standards are upheld, and the team is empowered to build what is right for our business and customers • Guide architectural decisions and ensure systems are scalable, reliable, and maintainable as product complexity grows • Establish and uphold standards for performance, quality, and observability across the stack • Lead technical design discussions and code reviews to ensure sound engineering decisions, without requiring direct ownership of implementation • Ensure strong operational practices, including monitoring, incident response, and continuous improvement of system reliability • Drive pragmatic tradeoffs between speed, quality, and scope, making risks and constraints explicit • Support AI-enabled product experiences, partnering with backend and data teams to integrate AI-driven features into performant, user-friendly interfaces. • Partner with Security and Compliance teams to ensure infrastructure meets regulatory requirements (e.g., SOC 2, GDPR) and internal security standards. • Build and lead a high-performing engineering team, setting clear expectations for ownership, execution, and collaboration • Provide regular, actionable feedback and coaching to support individual growth and strong performance • Hire and retain talented engineers, contributing to a thoughtful and consistent hiring process • Create an environment where engineers can operate with increasing autonomy while maintaining accountability for outcomes • Identify and address performance issues directly and constructively • Foster a team culture that values pragmatic decision-making, continuous improvement, and shared ownership of results • Partner closely with Product and Design to deliver business outcome, not just execute on requirements • Translate product goals into clear engineering plans, making the tradeoffs between scope, speed, and technical quality explicit • Align stakeholders on priorities and sequencing, ensuring the team is working on the most impactful problems • Take ownership of delivery outcomes, even when dependencies or ambiguity span multiple teams • Collaborate with adjacent engineering teams to manage dependencies and maintain system coherence across the product • Contribute to broader engineering initiatives (e.g., architecture, quality, developer experience) through participation in guilds and working groups • Advocate for the team’s needs and create visibility for the team’s impact across the broader organization