Product Marketing Manager

Summary

Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. The Product Marketing Manager will own positioning and messaging, competitive intelligence, sales enablement, win/loss programs, and market and analyst relations for the company’s marketing analytics products.

Responsibilities

• Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it
• Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning
• Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays
• Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization

Skills

• 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product
• Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak
• B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile
• Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter
• Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking
• Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback
• Hands-on SQL, dbt or BI, enough to validate a claim yourself
• Experience marketing AI capabilities without hype
• Analyst-relations experience
• Agency-side or enterprise-brand background
• Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming

Qualifications

Must Haves

• 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product
• Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak
• B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile
• Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter
• Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking
• Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback

Nice to Haves

• hands-on SQL, dbt or BI, enough to validate a claim yourself
• Experience marketing AI capabilities without hype
• Analyst-relations experience
• Agency-side or enterprise-brand background
• Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming