Job Description

Recorded Future is seeking a Marketing Analytics Manager. As a Marketing Analytics Manager, you will be a strategic partner across marketing decision-making, reporting to the Senior Manager of Marketing Analytics to execute on the reporting, measurement, and data foundation that helps the business make faster, smarter, outcome-driven decisions. You will articulate compelling buyer journey stories through data for  demand generation, field marketing, marketing operations, and the broader go-to-market organization. Beyond day-to-day analytics and ad hoc analysis, you'll help drive our growing investment in AI, automation, and modern data tooling, bringing curiosity and a builder's mindset to how we scale the analytics function. This role is ideal for a data-driven, business-minded analyst who wants to sit at the intersection of marketing strategy, measurement, and emerging data and AI capability in a B2B SaaS environment.

Note: This role is required to work from the Recorded Future office in Boston, MA at least 3 days per week.

What You'll Do:

Marketing Analytics & Strategic Insights:

• Serve as a strategic analytics partner across the marketing organization, translating data into insights that shape planning, investment, and campaign decisions and drive measurable business outcomes.
• Develop, maintain, and refresh marketing dashboards and reports across HockeyStack, Salesforce, Domo, and Adobe CJA to track KPIs, campaign effectiveness, and ROI.
• Report on top of funnel marketing performance, lead acquisition, conversion rates and velocity, and opportunity progression, to give a clear view of marketing's impact.
• Support reporting needs across all levels of the business, from executive leadership to individual executors, tailoring insight to each audience.
• Deliver ad hoc analysis, segment breakdowns, and channel/campaign deep dives that answer strategic questions on short turnaround.

Marketing Data Quality & Governance:

• Validate reporting and ensure the numbers reconcile across systems, so stakeholders can trust the metrics they act on.
• Troubleshoot and resolve integration and data discrepancies.
• Help build out the marketing data warehouse, partnering with the centralized data infrastructure team to establish a scalable, reliable data foundation.
• Help maintain the clean, consistent, well-governed data foundation that enables faster reporting, trusted metrics, and confident decision-making across marketing.

Attribution & Pipeline Measurement:

• Support the maintenance and evolution of multi-touch attribution models, keeping reporting objects current as campaigns and channels change.
• Partner with field marketing, revenue operations, and the Sales/BDR organizations on lead-to-opportunity reporting and analysis, ensuring accurate tracking of marketing-sourced and influenced pipeline.
• Translate attribution and pipeline data into actionable insights that help stakeholders make informed ROI decisions when planning activities.

Automation, Tooling & AI Innovation:

• Help drive our growing investment in AI and automation for marketing analytics, we're actively expanding into this space and want someone with the curiosity and passion to help shape it.
• Build and extend automation and data-access workflows, including API and MCP connections, that broaden analytics and AI tooling access for the Marketing Analytics & Operations team.
• Explore and apply emerging AI and data capabilities to increase analytics throughput, reduce manual work, and unlock new kinds of insight.
• Develop reusable reporting templates, lightweight data products, and cross-system data workflows that scale the team's impact.

What You'll Bring:

• 3+ years of experience in marketing analytics, marketing/revenue operations, or a related analytical field, ideally in a B2B SaaS environment.
• Strong proficiency building dashboards and reports in tools such as HockeyStack, Domo, Tableau, or Sigma, or similar BI/visualization platforms.
• Hands-on experience with CRM data (particularly Salesforce) and marketing automation platforms (Marketo or HubSpot).
• Hands-on experience applying AI/LLM tooling to analytics or operations workflows.
• Experience building automations or integrations via APIs, with familiarity with emerging standards like MCP a plus.
• Working knowledge of SQL and/or Python for data analysis and cross-system data work.
• Self-driven and intellectually curious, with the initiative to dig into problems without waiting to be told how, you can pick up the business and domain along the way.
• Solid understanding of the marketing funnel, lead lifecycle, and attribution concepts (multi-touch, first-touch, last-touch).
• Curiosity and passion for AI, automation, and modern data tooling, with eagerness to help build in an emerging space.
• Strong analytical and problem-solving skills, with the ability to translate data into clear, actionable insights and business recommendations.
• Excellent communication skills, with the ability to convey findings to non-technical stakeholders.

Preferred Qualifications:

• Experience with data warehousing (e.g., Snowflake) and data-quality, ETL, or data-pipeline processes.
• Exposure to customer journey analytics (e.g., Adobe CJA).
• Certification in Marketo or Salesforce.
• Previous experience in a high-growth, enterprise SaaS company.

The base salary range for this full-time position is $92,000-$137,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Hybrid

Job Description

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

Job Description

Recorded Future is looking for a hands-on corporate marketing leader to shape how we show up in the world at a pivotal moment in our growth. Following our acquisition by Mastercard, you will help bring our “Better Together” narrative to life—reinforcing Recorded Future’s position as the world’s leading threat intelligence company while drawing on greater global reach and resources.

As Director, Corporate Marketing, you will own brand and creative, corporate communications and PR, executive messaging, and social media. This is a build-and-transform opportunity: you will create an internal creative agency, evolve our visual identity and corporate voice, and connect brand impact to measurable business outcomes, including marketing-influenced pipeline.

What You’ll Do:

• Lead Recorded Future’s global brand and creative direction, evolving our visual identity, corporate voice, and how we show up across channels and markets.

• Build and lead an in-house creative agency, bringing together creative, content, and social capabilities to support the organization.

• Own corporate communications and PR, including media strategy, major company announcements, and rapid-response communications during significant cyber events.

• Elevate executive thought leadership, creating compelling narratives and expanding the presence of our executives and researchers across media, events, and industry stages.

• Drive a consistent global corporate narrative, partnering with regional marketing teams to ensure our positioning resonates wherever we operate.

• Grow brand awareness and market influence through corporate content, social media, earned media, speaking opportunities, and industry recognition.

• Measure corporate marketing’s business impact, connecting brand and communications performance to share of voice, direct and referral traffic, and marketing-influenced pipeline.

What You’ll Bring:

• 10+ years of B2B marketing experience, including leadership of corporate marketing, communications, brand, or a related function.

• Proven leadership across brand, creative, and communications, including experience developing high-performing multidisciplinary teams.

• Deep corporate communications and PR expertise, including media relations, executive communications, and high-stakes or rapid-response communications.

• Strong brand and creative judgment, with experience shaping visual identity, creative direction, and a consistent corporate narrative.

• Exceptional writing and editorial skills, with the ability to translate complex technical topics into compelling stories for executive and external audiences.

• Experience operating across global markets and navigating complex, co-branded, or enterprise environments.

• A hands-on, commercially minded approach, with experience measuring brand impact beyond awareness metrics and connecting marketing activity to business outcomes. Cybersecurity or technical enterprise B2B experience is strongly preferred.

The base salary range for this full-time position is $187,000 – $262,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

Job Description

We're looking for a hands-on Product Manager to own the lifecycle of Recorded Future's AI agents and MCP tools — the intelligent workflows and tool integrations that apply large language models to real threat intelligence problems for our customers. This is not a role focused on training models or building LLMs. Instead, you'll build, evaluate, and ship agents that orchestrate existing models, and shape the MCP tools those agents and our customers rely on to access Recorded Future intelligence.

You'll be responsible for the full arc of an agent — from initial build, through evaluation and iteration, to customer testing and deployment — as well as the quality and coverage of our MCP tool surface. You'll write and maintain evals, refine tool descriptions, identify gaps in tool coverage, analyze how tools are actually used, and make the call on what ships. This role suits someone who is technically fluent, comfortable getting their hands dirty in GitHub and prompt engineering, and grounded in strong product judgment about what's worth building.

This isa mid-level role for a builder who moves fast, tests rigorously, and cares more about whether an agent or tool solves the customer's problem than whether it demos well.

What You'll Do:

• Own the end-to-end lifecycle of AI agents — design, build, evaluation, customer validation, and deployment.
• Build agents that orchestrate LLMs and tools against real intelligence use cases, selecting the right model for each task based on capability, latency, and cost tradeoffs.
• Own and refine the MCP tool surface — writing clear, effective tool descriptions, identifying gaps in coverage, and improving how tools expose Recorded Future intelligence to agents and customers.
• Analyze MCP tool usage patterns to understand what customers and agents actually invoke, where tools fail or underperform, and where new tools are needed.
• Write, maintain, and expand evaluation suites to measure agent and tool quality, catch regressions, and guide iteration; update agents and tools as models, data, and customer needs evolve.
• Test agents and tools directly with customers, gathering feedback and confirming that outputs meet their workflows and expectations before and after launch.
• Work hands-on in the codebase (GitHub) alongside engineers — reviewing changes, prototyping, and contributing to agent logic and tool definitions where appropriate.
• Maintain a working understanding of the LLM landscape, tracking the strengths, weaknesses, and cost profiles of available models to make informed build decisions.
• Define and track agent and tool performance metrics — accuracy, task completion, tool invocation success, latency, cost per task, and customer satisfaction.
• Prioritize the agent and tool roadmap, focusing effort on the capabilities that deliver the most customer value.
• Partner with intelligence, engineering, and design teams to ensure agents and tools integrate cleanly into the broader platform and customer experience.
• Establish repeatable practices for building, evaluating, and shipping agents and tools reliably and safely.

What You'll Bring:

• Agent Builder with hands-on experience building LLM-powered agents or workflows — or the technical aptitude to ramp up quickly.
• Model-Literate, with working knowledge of major LLMs and a practical sense of their pros, cons, and cost tradeoffs.
• Tool-Design Sense, able to write clear tool descriptions, reason about how agents select and invoke tools, and spot coverage gaps. Familiarity with MCP (Model Context Protocol) or similar tool-integration frameworks is a plus.
• Technically Comfortable, able to work in GitHub, read and reason about code, and engage credibly with engineers on agent and tool design and evaluation.
• Evaluation-Minded, understanding how to define quality, write evals, and use them to drive iteration rather than relying on vibes.
• Data-Informed, comfortable analyzing usage patterns to guide decisions about what to refine, build, or retire.
• Customer-Oriented, skilled at working directly with users to validate that what's built actually solves their problem.
• Strong PM or Business Analyst Skills, able to prioritize, define requirements, and connect technical work to business outcomes.
• Pragmatic and Outcome-Driven, comfortable shipping, measuring, and improving in fast iteration cycles.
• Cybersecurity experience is a plus but not required — provided you can ramp up quickly on the domain.
•  3–5 years in product management, technical program management, or a hands-on technical role building AI/LLM-powered products, agents, or tool integrations

The base salary range for this full-time position is $129,000 – $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Job Description

Recorded Future is seeking a technically credible, hands-on leader for the Sales Engineering team supporting our US Public Sector business. This role is ideal for a builder with deep security expertise, proven PreSales leadership, and experience navigating complex government environments. You’ll join as Recorded Future strengthens its dedicated US Government organization, backed by Mastercard and an established position in threat intelligence. This is a rare opportunity to lead a talented team and help shape the evolution of our Public Sector business.

What You’ll Do as the Senior Manager, Sales Engineering – US Public Sector

• Lead, coach, and develop a distributed team of Sales Engineers supporting Federal, DoD and Intelligence Community, Civilian, State, and Local Government customers.
• Establish a consistent operating model across team coverage, technical sales processes, performance expectations, and leadership visibility.
• Assess team capabilities and capacity, addressing development, hiring, performance, and career-growth needs.
• Partner with Public Sector sales leaders to clarify Account Director and Sales Engineer accountability and create a more proactive working model.
• Standardize technical discovery, demonstrations, Proof of Value engagements, technical validation, and post-sale handoffs.
• Lead from the front on strategic opportunities and help the team secure the technical win.
• Partner with Product, Professional Services, Intelligence Services, and Channel to improve customer outcomes and inform Public Sector strategy.

What You’ll Bring as the Senior Manager, Sales Engineering – US Public Sector

• 4+ years leading a Sales Engineering, PreSales, or technical selling organization within cybersecurity.
• Meaningful experience supporting Public Sector customers, ideally including Federal, DoD, or Intelligence Community organizations.
• Deep technical knowledge of threat intelligence and security operations, including SIEM, SOAR, APIs, integrations, and related technologies.
• Experience building or improving Sales Engineering processes, coverage models, operating rhythms, and performance visibility.
• A track record of developing mixed-tenure teams, hiring strong talent, and addressing performance gaps.
• The ability to personally support sophisticated discovery, demonstrations, Proof of Value engagements, and technical customer conversations.
• A hands-on, highly accountable leadership style with strong cross-functional and executive communication skills.

The base salary range for this full-time position is $179,500 – $251,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote