Product Manager

About OrphexOrphex is the intelligence and decision center for digital marketers. We bring together signals from across the marketing stack and turn them into clear, trustworthy decisions—so teams move faster, waste less, and grow with confidence.Your mission will be to orchestrate how data turns into decisions and decisions turn into action: aligning features, modules, and UI into a smooth, reliable flow that marketers trust and rely on every day. If this sounds like the right fit for you, we can’t wait to see your application!What You'll Own• Strategy → shipping: Set a focused multi‑quarter direction and turn it into an ordered roadmap with regular, shippable increments.• Data flow, end‑to‑end: Guide the journey from raw inputs → cleaned/organized data → cross‑platform insights → clear actions in the product.• Platform API utilization: Plan and specify how we connect to and use platform APIs (limits, sync cadence, error handling, retries).• Data source exploration: Identify new useful inputs, define what “good” looks like, and describe how they fit our models and screens.• Analysis & decisions: Describe how signals turn into insights (pacing, anomalies, forecasts, recommendations) and how those insights are explained to users.• Workflow mindset: Break complex problems into smaller steps and flows that run reliably, can be observed, tested, and improved.• UI orchestration: Keep the experience simple and fast—clear states, helpful defaults, plain‑English explanations, and safe paths to action.• PRDs engineers love: Problem statement, user stories, acceptance criteria, data notes, edge cases, and a basic telemetry checklist.Experience We Welcome Pick one (or blend):• Product Management for data/analytics/marketing platforms where you shipped data‑heavy features, OR• Data‑oriented Digital Marketing/Growth where you owned decision tools/workflows and delivered with engineers.MUST‑HAVES• High‑tech, analytical mindset and genuine interest in marketing data.• Comfort reading tables and writing simple queries to validate assumptions.• Clear writing and structured thinking; you turn fuzzy problems into precise specs.• Practical understanding of working with platform APIs (limits, pagination, retries, monitoring).• A habit of measuring what ships and iterating based on evidence.• Fluency in English (written and verbal).NICE‑TO‑HAVE (NOT REQUIRED)• Exposure to agentic ecosystems, deep learning (enough to describe inputs/outputs and how to check quality).• Ability to express logic in plain language or simple pseudo‑code to align with engineering.Key Platforms You'll Touch These are **key** surfaces; familiarity across **all major measurement and digital marketing platforms** is important:• Advertising: Google Ads, Meta Ads, TikTok Ads, DV360, LinkedIn Ads, Apple Search Ads• Analytics & Measurement: Google Analytics 4 (GA4), Mobile Measurement Partners (MMPs) such as Adjust, AppsFlyer, Branch, Singular• Commerce: Shopify (plus other common e‑commerce sources)• Data: BigQuery, Python (as a central store/processing surface)WHAT YOU’LL SHIP (EXAMPLES)• A PRD for an “insight → action” flow: inputs, high‑level logic, alerting conditions, UI states, success criteria.• A plan for adding a new data source: how it connects, what it contributes, how we validate it, and what users will see change.• A small UX improvement that reduces time‑to‑insight.• A simple runbook for handling API limits and partial re‑syncs.