Job Description :

Senior Product Marketing Manager (RiskRadar)

Location

Dublin (Hybrid — 3 days/week in office)

Why this role exists

RiskRadar is an AI-native Narrative & Reputational Risk Intelligence platform. We’re building it to help trust-centric Financial Services brands (primary ICP) and high-volume narrative risk Fortune 100 consumer brands (secondary ICP) detect, understand, and respond to fast-moving narratives across news, social, and broadcast — turning monitoring into decision-ready action.

We need a senior PMM who can launch and scale RiskRadar commercially: define the category story, build sharp positioning, enable sales, and continuously improve conversion through disciplined experimentation.

This is the first dedicated PMM hire in Storyful for RiskRadar (there is an existing marketing team who own demand gen and broader content). Within 6–12 months you’ll establish the PMM operating system; within 12–18 months you’ll be expected to hire/build a small PMM pod.

The mission

Make RiskRadar the obvious choice for Financial Services comms/risk teams by creating a GTM engine that is:

• Market-insight driven

• Experimentation-led

• Sales-enabled

• Credibility-first (especially with AI claims)
   

What you’ll own

1) Positioning, messaging, and category narrative (Financial Services first)

• Define and maintain the messaging architecture (ICP5 primary, ICP1 secondary), persona-based value props, proof points, and “why now” narrative.

• Translate ML/AI capabilities into outcomes buyers care about (e.g., time-to-awareness, time-to-triage, risk escalation prevention, exec confidence).

• Produce canonical assets: messaging framework, website pillars, product story, proof library.
   

Example deliverable: a crisp “RiskRadar for Financial Services” narrative that clearly differentiates from social listening and media monitoring tools, with an evidence-backed claims framework.

2) Launch leadership (0→1 and 1→n)

• Own end-to-end launch planning and execution for MVP → V1 → GA moments.
   

• Coordinate cross-functional readiness: product, engineering, ML, marketing, sales, CS, leadership, and Dow Jones/Factiva stakeholders.
   

• Create repeatable launch rituals: checklists, stakeholder cadence, retros, and improvements.
   

Example: a GA launch where Sales knows exactly who to target first, what to say, what to show, and what “success” looks like in the first 30/60/90 days.

3) Messaging experimentation that moves pipeline

• Run systematic experiments across:
   

  • Landing pages / homepage messaging
     

  • Sales decks + talk tracks
     

  • Demo narrative + proof points
     

  • Webinar topics + hooks + CTAs
     

• Use a mix of qualitative and quantitative inputs: win/loss, discovery call patterns, funnel conversion, usage signals.
   

Example: A/B testing “decision-ready risk intelligence” vs “narrative detection & action playbooks” and proving which message increases meeting-to-opportunity conversion in FS.

4) Sales enablement & training (hybrid GTM)

• Build RiskRadar’s enablement system:
   

  • Sales training sessions + onboarding modules + certification
     

  • Discovery guides, objection handling, competitive battlecards
     

  • Demo storyline and “how to pitch AI responsibly”
     

• Ensure sellers can explain value without hype and with clear guardrails around what the product does today vs roadmap.
   

Example: a 45-minute sales training that results in consistent discovery quality and tighter qualification for ICP5.

5) Market and customer insights shared across the business

• Create an insights engine:
   

  • Competitive landscape and displacement strategy
     

  • ICP triggers, buying committees, budgets, objections
     

  • The “language of the buyer” for FS corp comms / issues / risk
     

• Package insights into exec-ready updates and product inputs.
   

Example: a monthly “Market Signals Brief” that directly influences roadmap prioritisation and GTM plays.

6) Webinars and prospect presentations that build authority

• Design and deliver compelling webinars and prospect decks in partnership with Marketing (who own demand gen execution).
   

• Build content that supports PLG + sales-led motions (self-serve clarity + enterprise credibility).
   

Example webinar: “From Monitoring to Decision-Ready: How FS Teams Triage Narrative Risk in 10 Minutes.”

7) GenAI-powered productivity (with quality control)

• Use GenAI to increase the quality and quantity of output (variants, drafts, competitive summaries, enablement docs).
   

• Implement QA guardrails so GenAI accelerates you—without producing confident nonsense.
   

Example: a prompt + QA checklist system that speeds up asset creation while maintaining factual accuracy and compliance.

What success looks like (first 12 months)

• RiskRadar has clear, adopted positioning for Financial Services, with a secondary narrative for Fortune 100 consumer brands.
   

• Measurable improvements in commercial outcomes influenced by PMM:
   

  • Higher meeting-to-opportunity conversion
     

  • Better stage progression / velocity
     

  • Improved win-rate vs named competitors
     

• Sales and CS are enabled with consistent talk tracks, proof, and objection handling.
   

• Launches become repeatable and less chaotic.
   

• You’ve scoped and begun building a small PMM pod plan (roles, priorities, timing) for months 12–18.
   

Must-have experience

• 7–10+ years B2B SaaS product marketing, including commercially successful product launches.
   

• Strong track record in:
   

  • Positioning/messaging/category narrative
     

  • GTM planning and execution
     

  • Sales enablement and training
     

  • Experimentation and conversion optimisation
     

  • Market/customer insight synthesis that influences product strategy
     

• Comfortable marketing AI/ML-driven products (or similarly technical platforms).
   

• Proven ability to leverage GenAI to increase throughput and quality with sensible QA.
   

Nice-to-have (strong differentiators)

• Experience selling into Financial Services or trust/regulatory-sensitive environments.
   

• Familiarity with corp comms/PR/risk buyer personas and buying committees.
   

• Exposure to analyst relations and/or pricing/packaging (you’ll contribute here, not own).
   

Working style

• High ownership, low ego, fast-moving, evidence-led.
   

• Strong collaborator across Product/Engineering/ML and Marketing/Demand Gen.
   

• Comfortable operating in ambiguity and building structure that helps—not bureaucracy.

Equal Opportunity Employer

We are committed to creating an inclusive workplace that values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, age, disability, national origin, or any other protected characteristic under applicable local laws.

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Job Category:

Storyful - Intelligence