Senior Product Manager

About The Role

JD - Product Manager — Marketing Automation AI Pod:

We are building AI-led marketing automation systems for our Digital marketing team. The core objective is

simple: use automation and intelligence to acquire users at scale, efficiently, and with high quality — with the

long-term value (LTV) of these users as a core target.

You'll join as a Product Manager owning a meaningful slice of this platform end-to-end — from problem

discovery through launch and adoption — working closely with the existing product team and cross-functional

stakeholders across the business.

What You'll Do

Own product for Marketing end-to-end: discovery, PRD writing, design collaboration, build oversight,

launch, and adoption.

Ground every decision in real data — you'll pull and interpret actual usage, operational, and business data

to generate hypotheses, test them and then recommend a product solution to implement.

Partner closely with engineering, design, and cross-functional business stakeholders to ship high-quality

marketing products.

Translate ambiguous, evolving business problems into clear, build-ready specifications. Run a disciplined, iterative delivery cadence — validate direction early, correct fast, and ship surgically

once something's approved.

Own outcomes, not just output — define what success looks like for your area against the team's core

metrics (acquisition scale, efficiency, user quality, and LTV) and instrument for it.

Build with an AI-native mindset — actively identify where AI/LLM capabilities can create outsized value for

the marketing team (automation, intelligence, personalization) rather than treating AI as an add-on, and

use AI tools yourself to move faster through discovery, spec-writing, prototyping, and analysis.

What We Are Looking For

3–6 years of product management experience, with genuine end-to-end ownership of a product area —

not just feature delivery.

Strong first-principles problem-solving — able to break down ambiguous, complex business problems into

structured, solvable pieces.

Data fluency — comfortable with SQL/analytics tools, sharp about defining the right metrics, and

instinctively data-backed in decision-making.

Excellent written and verbal communication — you can write unambiguous, build-ready specs and

communicate clearly and persuasively with stakeholders at every level.

Proven stakeholder management — able to align cross-functional teams (business, engineering, design,

marketing) with competing priorities toward a shared outcome.

Strong product sense — an eye for what makes a workflow simple and valuable for a non-technical,

business-user audience.

User empathy — genuine curiosity about the people who'll use what you build, and discipline about

validating with them rather than assuming.

Systems thinking — comfortable reasoning about platforms with multiple integrated modules,

dependencies, and stakeholders rather than isolated features.

Bias for action and ownership — you drive things forward independently, escalate the right things, and

don't wait to be told.

AI-native orientation — genuine fluency and enthusiasm for using AI tools in your own workflow, and a

sharp eye for where AI can be embedded into the product itself to create value for the marketing team.

Prior experience with platform, marketplace, marketing technology, or internal-tooling products is a

strong plus.

Exposure to marketing/ad platforms (Meta Ads, Google Ads, or similar) is a plus, though not required.