Recorded Future

Artificial Intelligence

• Design, build, and maintain complex automation workflows to power marketing and sales outreach, routing, and engagement.
• Architect seamless integrations between our core marketing platforms (e.g., Marketo), CRM (Salesforce), and specialized GTM tools.
• Leverage tools like Zapier to automate manual processes and ensure real-time data flow across the GTM tech stack.
• Build and manage sophisticated data enrichment waterfalls using platforms like Clay, Lusha, ZoomInfo to source and qualify target accounts and contacts.
• Utilize APIs and webhooks to pull in buying signals, intent data, and firmographic details to trigger automated GTM plays.
• Implement generative AI (e.g., OpenAI, Anthropic) within automated workflows to scale highly personalized outbound messaging through platforms like Outreach.
• Ensure strict data integrity, hygiene, and consistency across marketing automation and CRM platforms.
• Oversee critical data processes, including lead deduplication, routing, scoring, and audience segmentation.
• Partner with IT, Revenue Operations, and data teams to centralize data and enhance our marketing infrastructure.
• Continuously evaluate, identify, and implement new technologies to improve our GTM motion and automation capabilities.
• Troubleshoot complex system errors, sync issues, and API failures between the marketing and sales stack.
• Provide technical training and enablement for marketing and sales stakeholders on how to leverage new automated plays and insights.
• Measure the success of automated GTM campaigns by rigorously tracking measurable outcomes, pipeline generation, and return on investment (ROI).
• Analyze workflow performance, conversion rates, and engagement metrics to relentlessly optimize data routing and campaign execution.
• Provide highly analytical, data-driven recommendations to leadership to optimize GTM efficiency and drive business growth.
• Support annual and quarterly planning processes with insights on system capabilities, database health, and automation scalability.

Marketing Systems & AI Automation Manager, Clay Experience Required

Analyst

• Conduct research on emerging cyber threats, adversary activity, and global threat trends
• Collect, analyze, and synthesize data from a variety of technical and open sources to produce actionable intelligence
• Support tracking of threat actor infrastructure, campaigns, and evolving tactics, techniques, and procedures (TTPs)
• Monitor and assess Chinese-language sources to identify relevant threat activity and insights
• Contribute to high-quality intelligence reporting for internal and external stakeholders
• Assist in identifying and developing indicators and detection opportunities
• Collaborate with cross-functional teams, including other intelligence, engineering, and data science teams
• Continuously develop technical expertise and stay current on evolving threat landscapes and tradecraft

Fraud Analyst

Product Manager

• Own the product strategy and roadmap for the intelligence data lifecycle — from collection through transformation, enrichment, and analytics.
• Align and prioritize across multiple backend teams, balancing platform scalability with intelligence impact.
• Define and track key data quality metrics, including coverage, freshness, accuracy, enrichment value, and signal-to-noise ratio.
• Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers.
• Collaborate with Threat Intelligence and Data Science leadership to identify and deliver high-impact data and analytics capabilities.
• Prioritize ingestion and analysis improvements that most enhance downstream products such as entity risk scoring, malware intelligence, and attack surface correlation.
• Partner with platform and data infrastructure teams to ensure reliable, observable, and efficient analytics frameworks at scale.
• Represent the data layer in cross-functional planning and ensure alignment with UI, integrations, and customer-facing initiatives.
• Establish data quality frameworks and observability standards to ensure transparency and trust in intelligence outputs.
• Champion innovation in AI/ML-based data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction.

Senior Product Manager

Salesforce Consultant

• Own the end-to-end CPQ lifecycle including product configuration, pricing, quoting, approvals, and renewals.
• Design, build, and optimize scalable CPQ solutions within Salesforce.
• Lead CPQ architecture decisions and ensure alignment with GTM, Finance, and Product strategies.
• Manage and enhance product catalog, pricing structures, discounting models, and bundling strategies.
• Drive automation across quote generation, approvals, and contract workflows.
• Partner cross-functionally with Sales, Finance, RevOps, and Product.
• Ensure data integrity, governance, and compliance (including SOX considerations).
• Identify opportunities to leverage AI and automation to reduce manual effort and improve efficiency.
• Troubleshoot complex CPQ issues and optimize performance.
• Support strategic initiatives including CPQ revamps, pricing changes, and GTM transformation efforts.

Lead CPQ Salesforce Specialist

Product Marketing

• Develop clear, differentiated positioning for Third Party Risk
• Simplify complex intelligence workflows into compelling, customer-centric narratives
• Create messaging frameworks tailored to multiple personas (CISO, security teams, risk teams, procurement)
• Lead launches for new capabilities, integrations, and solution expansions
• Partner with Product to align roadmap with market needs and competitive dynamics
• Define packaging, value metrics, and pricing narratives in collaboration with leadership
• Build high-impact sales enablement assets (pitch decks, battlecards, ROI frameworks)
• Train global sales teams on storytelling, objection handling, and differentiation
• Support strategic deals with tailored messaging and executive narratives
• Engage directly with customers and prospects to understand pain points and buying behavior
• Translate customer insights into product feedback and GTM improvements
• Develop case studies, proof points, and outcome-driven value stories
• Analyze competitors across TPRM, threat intelligence, and broader risk platforms
• Identify whitespace opportunities and inform strategic direction
• Track market trends (e.g., supply chain risk, account takeover, scams, fraud ecosystems)

Senior Product Marketing Manager

Attorney

• Lead and execute business risk, export controls, Sanctions, ABAC and AML compliance activities and processes.
• Implement enhancements to customer and supplier due diligence processes.
• Oversee the onboarding of all new customers, resellers, and end-users, ensuring robust compliance and ongoing monitoring.
• Support incremental risk and compliance requirements and services.
• Enhance understanding of risk and compliance requirements among internal stakeholders.

Legal Compliance Manager

Account Executive

• Identify and pursue net-new logo opportunities
• Own and grow key enterprise accounts
• consistently meet or exceed quarterly and annual revenue targets
• Provide market feedback to internal teams

Account Director, NorCal

• Identify and pursue net-new logo opportunities
• Own and grow key enterprise accounts
• Navigate complex, multi-stakeholder sales cycles
• Maintain a deep understanding of cybersecurity trends

Account Director, SLED – TOLA

• Identify and pursue net-new logo opportunities through outbound prospecting, referrals, and channel networks
• Conduct strategic discovery to align cybersecurity needs with Recorded Future’s intelligence solutions
• Engage channel partners in joint go-to-market motions, leveraging their reach and relationships
• Own and grow key enterprise accounts across multiple verticals
• Drive upsell, cross-sell, and renewal opportunities by identifying unmet needs and usage patterns
• Build strong, multi-threaded relationships across technical and executive audiences (CISO, CIO, VP of Security)
• Act as a trusted advisor, delivering insights and value beyond the initial sale
• Partner with Customer Success and other internal stakeholders to ensure seamless onboarding, support, and long-term customer value
• Navigate complex, multi-stakeholder sales cycles lasting 6–12 months
• Apply MEDDPICC and value-based selling frameworks to qualify and advance deals
• Develop and present compelling proposals, with a strong grasp of both technical value and business ROI
• Use Salesforce, Clari, and Gong to manage pipeline health, track activity, and maintain forecast accuracy
• Handle objections and pricing conversations with clarity, confidence, and professionalism
• Consistently meet or exceed quarterly and annual revenue targets
• Maintain a deep understanding of cybersecurity trends, competitive dynamics, and enterprise buying behavior
• Provide market feedback to internal teams to inform product, positioning, and roadmap priorities
• Operate with urgency, professionalism, and high standards of customer care