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
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Own product for Marketing end-to-end: discovery, PRD writing, design collaboration, build oversight,
launch, and adoption.
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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.
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Partner closely with engineering, design, and cross-functional business stakeholders to ship high-quality
marketing products.
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Translate ambiguous, evolving business problems into clear, build-ready specifications.
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Run a disciplined, iterative delivery cadence — validate direction early, correct fast, and ship surgically
once something's approved.
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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.
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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
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3–6 years of product management experience, with genuine end-to-end ownership of a product area —
not just feature delivery.
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Strong first-principles problem-solving — able to break down ambiguous, complex business problems into
structured, solvable pieces.
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Data fluency — comfortable with SQL/analytics tools, sharp about defining the right metrics, and
instinctively data-backed in decision-making.
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Excellent written and verbal communication — you can write unambiguous, build-ready specs and
communicate clearly and persuasively with stakeholders at every level.
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Proven stakeholder management — able to align cross-functional teams (business, engineering, design,
marketing) with competing priorities toward a shared outcome.
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Strong product sense — an eye for what makes a workflow simple and valuable for a non-technical,
business-user audience.
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User empathy — genuine curiosity about the people who'll use what you build, and discipline about
validating with them rather than assuming.
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Systems thinking — comfortable reasoning about platforms with multiple integrated modules,
dependencies, and stakeholders rather than isolated features.
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Bias for action and ownership — you drive things forward independently, escalate the right things, and
don't wait to be told.
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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.
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Prior experience with platform, marketplace, marketing technology, or internal-tooling products is a
strong plus.
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Exposure to marketing/ad platforms (Meta Ads, Google Ads, or similar) is a plus, though not required.
