Director, Product

Job description

About the Role

As Director, Product you will define what Kobie's data platform means as a market-facing product: how behavioral and transactional data becomes the engine behind smarter loyalty programs, better marketing performance, and more personalized customer experiences. You will set strategy for KLICs and the Data Engine, build the commercial model to monetize them, and ensure our data capabilities fuel AI-driven outcomes — not just move data between systems. Success at year one looks like increased attach rates, at least one AI-powered capability live with measurable client outcomes, and clear differentiated positioning of Kobie's data platform in the market.

You will work directly with Product, Data Engineering, Client Services, and Commercial teams to convert Kobie's data assets into scalable, repeatable offerings.

Responsibilities

Define Kobie's data product portfolio with a clear focus on marketing, loyalty, and customer experience outcomes — establishing product boundaries, value propositions, and positioning for KLICs and the Data Engine that go well beyond data movement or pipeline delivery

Set the standard for what "AI-ready data" means at Kobie — ensuring our behavioral and transactional data is structured, governed, and accessible in ways that support real-time personalization, predictive modeling, and AI-assisted marketing workflows

Drive the long-term roadmap for data capabilities that help clients transform unified customer data into actionable audiences, personalized experiences, and measurable loyalty outcomes

Embed practical AI-driven capabilities into existing data products — identifying where AI should assist, accelerate, or automate across the loyalty and marketing analytics lifecycle, in ways that are durable and commercially scalable

Partner with Data Engineering and Data Science to ensure AI and ML outputs — propensity models, segment recommendations, next-best-action signals — are productized as client-facing capabilities with clear value propositions, not internal experiments

Actively use AI in your own product workflow; bring firsthand fluency to decisions about where AI belongs in a product and where it doesn't

Own pricing and packaging strategies for data-driven offerings — usage-based, tiered, and outcome-based models; define the unit of value and validate willingness-to-pay with commercial teams

Improve attach rates and revenue contribution of data products by translating platform capabilities into client-facing value narratives that sales and client services can execute against

Own the commercialization framework for new AI-enabled capabilities — from proof-of-concept through pricing validation, GTM readiness, and first client deployment

Partner with Client Services to identify repeatable patterns across bespoke client work and convert them into standardized, scalable product offerings — with a clear framework for what gets productized versus what stays custom

Build structured intake and prioritization for product signals from Client Services, Business Development, and clients — roadmap direction driven by patterns and commercial opportunity, not reactive one-off requests

Qualifications

8-12+ years of product management experience owning commercial outcomes for data, platform, analytics, or engagement products in technology, martech, or data-driven environments

Demonstrated experience defining and scaling products focused on marketing, loyalty, or customer experience outcomes — not just data infrastructure delivery or database-to-database movement

Actively uses AI in their own product workflow; can articulate where AI should assist, accelerate, or automate — and may have vibe-coded their own solutions

Strong commercial acumen: pricing, packaging, and monetization strategy; hands‑on experience with usage-based, tiered, or outcome-based pricing models; has owned the unit-of-value definition for a product

Proven ability to influence across complex, cross‑functional environments without always having direct authority — drives a sharp point of view from concept through build and first sale

Analytical mindset with the ability to translate behavioral data, model outputs, and client feedback into strategic product decisions

Preferred Qualifications

Experience with behavioral data platforms, customer data infrastructure, or CDPs — how event-level data is collected, governed, and activated for personalization and AI use cases

Familiarity with loyalty program data economics — how transactional, behavioral, and engagement signals combine to drive member retention, offer optimization, and lifetime value

Experience integrating AI and ML capabilities — propensity models, recommendation engines, next-best-action — into existing product workflows rather than shipping standalone AI features

Background in or exposure to agentic AI workflows, real‑time decisioning, or AI‑assisted campaign and offer optimization

Experience in adjacent domains — retail media, fintech data products, adtech, or digital analytics — where data monetization and client‑outcome orientation are core to the product model

Not a Fit If

Your product experience is primarily in data engineering or infrastructure delivery — commercial ownership and client outcome orientation are central to this role

AI is a talking point on your resume rather than something you actively use and build with today

You've managed data platform roadmaps but have never owned pricing, packaging, or attach rate for a product

You're most comfortable working within engineering — this role requires sustained fluency with commercial, client services, and executive audiences

Benefits

Flexible Time Off to recharge when needed

Nine Company‑Wide Holidays

A diverse suite of benefits prioritizing your growth, development, and personal well‑being

EEO Statement

Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values.

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Worksite address

minneapolis, MN, 55400, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.