Crunchbase

Account Executive

• Own and execute a strategic territory plan across a defined enterprise book of business, driving outbound prospecting and penetrating high-value target accounts with AI-powered tools and ABM strategies.
• Build and expand executive-level relationships, positioning Predictions & Insights as a strategic growth solution tied to measurable business outcomes and ROI.
• Lead complex, multi-threaded enterprise sales cycles from qualification through close, navigating diverse stakeholders, procurement, and negotiations with autonomy.
• Develop tailored win strategies by uncovering customer priorities, qualifying inbound and SDR-sourced opportunities, and aligning solutions to business and technical needs.
• Drive expansion and long-term account growth in partnership with Customer Success, ensuring seamless onboarding, value realization, and upsell opportunities.
• Collaborate cross-functionally with Sales leadership, Solutions Engineering, Business Development, and Product Marketing to deliver data-driven proofs of value and coordinated enterprise execution.

Enterprise Account Executive

• Own outbound strategy and pipeline generation across and beyond your assigned book, leveraging deep account research to identify high-value opportunities and consistently build 2.5x quota coverage.
• Qualify and advance inbound and SDR-sourced leads by uncovering business priorities, mapping use cases, and developing targeted win strategies aligned to measurable outcomes.
• Build trusted, executive-level relationships that expand beyond individual users, positioning Predictions & Insights as a company-wide strategic solution.
• Clearly articulate Crunchbase’s differentiated value against competitors, tying solutions to industry-specific impact and ROI.
• Lead coordinated deal execution from early qualification through close, partnering with Solutions Engineering on data trials/POCs and driving seamless internal alignment.
• Collaborate cross-functionally with SDRs, Customer Success, Business Development, and Product Marketing to execute ABM strategies, ensure successful onboarding, and drive long-term account growth.

Product Manager

• Support the design, testing, and iteration of pricing and packaging models across products and customer segments.
• Own discrete pricing and packaging initiatives from discovery through launch, under the direction of the Director of Product Management.
• Partner with Engineering to ensure accurate implementation of pricing and packaging changes.
• Utilize AI-powered analytics tools to analyze customer behavior, usage patterns, and pricing sensitivity.
• Support pricing and packaging experimentation using AI-assisted analysis (e.g., pattern detection, cohort analysis, predictive insights).
• Partner with Data and Analytics teams to apply AI-driven models or insights that inform pricing recommendations.
• Use generative AI tools to accelerate research synthesis, experiment analysis, documentation, and internal communication—while applying strong judgment and validation.
• Work closely with Sales, Marketing, Finance, RevOps, and Customer Success to ensure pricing and packaging changes are clearly understood and operationally ready.
• Contribute to enablement materials and internal communications related to pricing and packaging updates.
• Gather and synthesize feedback from internal teams and customers to inform future iterations.
• Develop a strong understanding of customer needs, willingness to pay, and perceived value.
• Support competitive analysis to understand market trends and positioning.
• Participate in customer research efforts, including interviews and feedback analysis.
• Write clear product requirements, user stories, and acceptance criteria for pricing and packaging initiatives.
• Help ensure launches are well-coordinated, on time, and meet quality standards.
• Performs other related duties as assigned.

Senior Product Manager – Pricing & Packaging

Full-stack Engineer

• 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
• 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
• 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
• 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

Full Stack Product Manager – Internal AI Applications

• 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
• Drive Product Feedback and Insight: 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
• Educate, Activate, and Evangelize: 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
• Build, Prototype, and Experiment: 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

Community Product Manager

Product Marketing

• Build a deep understanding of our users, market, and competition to inform marketing and product strategies that fuel revenue team partners
• Plan and carry out initiatives that connect our audience to our value in the most relevant way, including go-to-market launches, beta research, SWOT analyses, collateral creation, messaging and positioning experiments, etc.
• Collaborate with Brand, Lifecycle, Paid Media, Demand Generation, and Product Management teams to develop and drive effective go-to-market strategies that drive ICP awareness, acquisition, and retention
• Understand the buyer's process and collaborate with Brand and Digital Marketing teams to identify optimal channels for reaching prospective customers with compelling messages
• Be the in-house representative for our value and how we communicate it, working closely with Marketing, Product, Revenue, and Customer teams to power cross-functional work that drives our shared business goals forward
• Leverage AI-driven tools and analytics to generate insights, validate direction, optimize campaigns, and enhance go-to-market strategies

Product Marketing Manager

Program Manager

• Data Vendor Management: Run end-to-end vendor evaluation and onboarding processes. Coordinate vendor discovery calls, lead internal data quality assessments alongside our Data Management team (coverage analysis, validation checks, missing field audits), support commercial negotiation, manage contract execution, and own the ongoing vendor relationship, including regular data quality cadences and remediation when issues arise.
• Cross-Functional Coordination: Manage operational aspects of content licensing and data acquisition, including partner communications, contract coordination, and ingestion handoff. Coordinate evaluation and intake of external data sources in partnership with Product and Data teams. Support ongoing data partner relationships to ensure data quality, cadence, continuity, and adherence to agreed standards.
• Venture Program Operations: Drive activation and engagement across the Crunchbase Venture Program. Develop relationships with top-tier VC and accelerator partners to increase active data contributions. Process new member applications, design and manage partner benefits (promo codes, portfolio discounts, CB Daily features), and identify opportunities to expand programming that keeps firms engaged and contributing.
• Accelerator & Ecosystem Partnerships: Manage inbound and outbound relationships with accelerators, incubators, and startup investment platforms. Set up promotional programs, coordinate co-marketing, and serve as the primary point of contact for ecosystem partner inquiries.
• Cross-Functional Coordination: Work across Product, Engineering, Data Management, Legal, and Marketing to move partnership initiatives from agreement to live outcome. Manage timelines, dependencies, and stakeholder communication.
• Partner Operations & Documentation: Maintain partner records, program documentation, and reporting. Support contract coordination, compliance tracking, and data quality cadences with active partners. Maintain and improve partner-facing documentation, onboarding guides, FAQs, and execution playbooks.
• Pipeline & Evaluation Support: Help identify and assess new data and ecosystem partnership opportunities. Conduct initial diligence, prepare recommendations, and support leadership in prioritizing the partner pipeline.