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Why this role existsAIApply is already a meaningful B2C SaaS business. We are not looking for someone to \”build more features\”. Our constraint is retention, clarity, and expectation alignment as we scale. This role exists to turn strong demand into durable usage and long-term value . If you get energy from improving Day-7, Day-30, and Month-3 survival — not shipping shiny features — you\’ll thrive here.
The missionOwn product-led growth and retention end-to-end .
Your job is to:
Increase early-life retention
Reduce churn caused by expectation mismatch
Improve activation speed and habit formation
Simplify the product by removing what doesn\’t work
This role directly impacts ARR.
What you\’ll ownRetention & PLG (primary)
Day-1 / Day-7 / Day-30 retention
Activation rate and \”time-to-aha\”
Cohort analysis by acquisition source, intent, and promise
Feature adoption → retention → LTV linkage
Deep data ownership (non-negotiable)
Own product metrics end-to-end (not just dashboards)
Build and interpret cohort analyses, funnels, and retention curves
Comfort working directly with raw data (SQL / analytics tools)
Identify leading indicators of churn before it happens
Run disciplined experiments and correctly interpret results
Separate signal from noise in messy, real-world datasets
You don\’t need to be a data scientist — but you must be able to interrogate data yourself and form strong, defensible product opinions from it.
Product clarity & expectation alignment
Ensure marketing promises match product reality
Reduce user confusion and cognitive load
Kill or redesign features that increase churn
Improve onboarding, education, and defaults
Execution
Define what gets built — and more importantly, what does not
Work closely with engineering, design, and growth
Make fast, evidence-based decisions
Say \”no\” often, with confidence
What we\’re looking for (non-negotiable)You must have:
5+ years as a Product Manager in B2C SaaS
Proven experience scaling a product post-PMF
Deep hands‐on experience with Product‐Led Growth
Strong track record improving retention and LTV
Exceptional data literacy — cohorts, funnels, experiments, LTV modelling
Comfort working with AI‐powered products (LLMs, automation, probabilistic systems)
Bonus (not required, but strong signal)
Experience in job search, career tools, marketplaces, or adjacent sectors
Experience scaling AI consumer products
Background in growth, analytics, or behavioural design
How you think (this matters more than your CV)You:
Start from first principles , not playbooks
Trust data, but don\’t worship dashboards
Can spot misleading metrics and false confidence
Measure success in retention, not output
Are comfortable deleting work
Prefer clarity over complexity
Don\’t need a big roadmap to feel productive
Can challenge founders respectfully and directly
If you enjoy finding the one metric that actually matters, this role is for you.
What success looks like (first 6 months)
Clear improvement in early retention curves
Faster activation and reduced time-to-value
Fewer support tickets driven by confusion
A simpler, more opinionated product
Clear linkage between acquisition promise → behaviour → retention → ARR
What this role is NOT
Not a feature factory PM role
Not a \”stakeholder management\” role
Not a safe, slow, corporate product org
Not a role for someone who needs heavy process
Why join AIApply
Real users, real revenue, real impact
Direct influence on company trajectory
Founder‐led, fast‐moving environment
High ownership, low politics
The chance to shape a category‐defining product in AI + jobs
Seniority levelMid-Senior level
Employment typeFull-time
Job functionProduct Management and Marketing
Technology, Information and Internet
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Contact Detail:
AIApply Recruiting Team
