Product Manager, Competitive Intelligence, Marketing Analytics

Role Overview

• The end-to-end product strategy and roadmap for Loop's Competitive Intelligence module
• How Loop ingests, structures, and continuously updates competitive intelligence: analyst feeds, market signals, competitor product tracking, pricing movements, and win/loss patterns from CRM
• The executive intelligence surface: how market and competitive context is presented to C-suite and senior portfolio stakeholders — synthesized, visual, and tied directly to portfolio implications
• Sales and revenue intelligence: how win/loss data, deal velocity patterns, and CPQ pricing signals from CRM systems (Salesforce, HubSpot) inform portfolio prioritization and competitive positioning
• Analyst integration: how third-party analyst content (Gartner, Forrester, IDC) and competitive tracking platforms (Crayon, Klue, Kompyte) are structured, surfaced, and connected to planning decisions
• CPQ and pricing intelligence: how quote patterns, competitive price points, and deal configuration data reveal market positioning gaps that should influence the product portfolio
• The competitive signal-to-portfolio pipeline: how external intelligence flows into Loop's Demand and Recommendations Skills and influences initiative prioritization, investment thresholds, and strategic tradeoffs
• Discovery with Chief Strategy Officers, CMOs, VP Sales, product marketing leaders, and competitive intelligence practitioners across enterprise software, technology, and services markets

Requirements

• 5–9 years in competitive intelligence, product marketing, market analysis, sales strategy, or enterprise BI — with direct exposure to how intelligence is used (or fails to be used) in high-stakes business decisions
• Experience with CRM platforms (Salesforce, HubSpot) as data sources — not just as tools. You understand what win/loss data looks like in practice, why it is often dirty, and how to build products that make it actionable anyway
• Familiarity with competitive intelligence platforms (Crayon, Klue, Kompyte) and analyst ecosystems (Gartner, Forrester, IDC) — and where current tooling leaves enterprise buyers underserved
• Working knowledge of CPQ systems (Salesforce CPQ, Apttus, PROS) and how deal configuration data reflects market dynamics — a strong differentiating background
• Demonstrated ability to design for executive audiences: you know the difference between a dashboard a VP will open every morning and one that gets bookmarked and forgotten
• Fluency in the vocabulary of both sales and strategy: you can speak to a CRO about win rates and to a CSO about strategic positioning — and you understand how those conversations are connected
• Demonstrated ability to collaborate cross-functionally with AI and engineering teams — you can translate domain and user needs into clear requirements that technical teams can act on.
• Comfort working directly with AI tools to accelerate your own work — using LLMs to synthesize intelligence, draft positioning analysis, and prototype product concepts is foundational to how this Pod operates
• Strong written communication; you can write a crisp one-pager that earns alignment without a meeting.

Benefits

• Remote First work environment
• Unlimited vacation in most of our locations!!
• Great benefits including health, dental, vision and savings plan.
• Perks such as training reimbursement, WFH reimbursement, and more.
• Diverse and dynamic teams with challenging and exciting work.
• An opportunity to have a real impact on our business.
• A great range of social activities (both in person and virtual).
• Optional in person meet-ups and the ability to travel to our international offices
• Employee referral program
• And so much more!