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Подключить ботаProduct Lead
Marketing Automation Cloud / CDP | Top-Tier B2B SaaS | Remote-First
At Hire5, we partner with ambitious tech companies building category-defining products.
We’re hiring a Product Lead (Analytics) for a leading Marketing Automation Cloud and Customer Data Platform (CDP) serving major brands across the CIS region. The platform helps large and mid-sized companies unify and activate customer data to drive revenue through personalized, data-driven marketing.
This is not another dashboard tool. It’s an expert system designed to move CMOs from business goals → insights → actions → measurable growth.
About the Product
The Analytics team is building a product where a CMO logs in and immediately sees:
What’s happening with revenue
How marketing impacts it
Which levers to pull to drive growth
Core areas:
Business metric decomposition
OKR-style goal tracking
Revenue attribution
AI-powered assistant with automated analysis & recommendations
Funnels
Loyalty analytics
Comparable market references include:
Triple Whale
Klaviyo (Analytics)
Rebuy
LoyaltyLion
Amplitude
Role & Team
The Product Lead (Analytics):
Owns all products within the Analytics team (not a single feature).
Leads a team of ~8–10 people (engineering + design).
Has 2 direct reports (one analytics-focused, one product).
This role sits at the intersection of analytics consulting, product strategy, and execution.
Responsibilities
1. Customer outcomes = product success
Build measurable success stories: “saw → acted → got results.”
Drive product adoption and improve key metrics.
Build backlog based on customer + CSM feedback, not assumptions.
2. Quality gate for analytics (non-negotiable)
Acts as the quality gate before release.
Validates data correctness, methodology, and UX.
Stops releases when numbers aren’t trustworthy, methodology is weak, or UX is poor.
3. Analytics consulting → productization loop
Runs customer deep-dives (discovery / JTBD).
Personally explores customer data to diagnose problems and recommend actions.
Transforms one-off consulting insights into scalable product capabilities:
repeatable workflows, templates, automated recommendations, and UI patterns.
4. Vision → execution
Adopts the existing product vision and makes it their own.
Breaks strategy into actionable increments.
Communicates priorities clearly and aligns them with company-level goals.
5. Team leadership
Provides clear product direction to engineering and design.
Mentors product talent.
Contributes to hiring and performance management.
What We Expect From You
Proven experience launching a successful B2B analytics product with paying customers.
Strong hands-on data skills:
Comfortable working directly in SQL
Confident in Excel / Google Sheets
Deep understanding of attribution, experimentation, and validation
Able to personally dig into data to validate hypotheses and identify issues.
Uses GPT / AI assistants to accelerate analysis — not as a substitute for understanding.
Consulting mindset: able to sit with a client, break down metrics, identify root causes, and propose an action plan.
Comfortable making product decisions under uncertainty via prototyping and rapid feedback.
Strong argumentation skills — able to overcome resistance across people and processes.
High standards for analytics UX an
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