Product: Nodalum, multi model AI SaaS platform with subscriptions and a credit system
Go to market: B2B and B2C, direct purchase via checkout, subscription
Seniority: 5 to 10+ years
Reporting to: Business Management (strategic alignment) with daily interface with the CTO and IT Technical Manager
Team: strong technical environment (Technical AI, IT Technical Manager, CTO) and 2 Sales Developers
Who we are and what you will be leadingNodalum is a multi model chat platform that unifies access to multiple AI providers in a single interface, with intelligent routing, user memory, projects, voice, web search, image generation and document analysis. Freemium model with subscription plans and metered credit usage. Stack:
Next.js, Mongo
DB, Supabase Auth, Stripe Billing, deployed on Vercel.
Build and scale the full Growth system end to end to maximize the probability of sustainable growth: acquisition, activation, revenue, retention, referral. You must be hands on when needed and able to lead internal or external specialists with a method, clear KPIs, and continuous experimentation.
Key responsibilities- Set funnel math, baselines, and targets per step (conversions, CAC, payback, LTV:
CAC where applicable) - Build the Growth Operating System: weekly growth meeting, experimentation backlog, ICE or RICE prioritization, decision log
- Manage paid acquisition and controlled scaling (creative, audiences, landing alignment, pragmatic attribution)
- Lead CRO on landing pages, checkout, pricing and packaging, and onboarding with measurable tests
- Build lifecycle: onboarding, activation nudges, winback, churn prevention, referral loops
- Set tracking and analytics end to end with the technical team: event taxonomy, dashboards, data quality
- Align B2B motion with Sales Developers: MQL and SQL definitions, SLA, routing, pipeline dashboard (if B2B led motion)
- Supervise external specialists and vendors (paid, design, copy, SEO) with clear standards and KPIs
1) Full funnel and unit economics
Evidence required:
- Real cases with numbers: conversion increases, CAC reduction, payback improvement, retention improvement
- Examples of KPI trees and forecasts based on funnel math
2) Paid acquisition with budget accountability
Evidence required:
- Budget managed and duration (example: “X USD per month for Y months”)
- Reports or screenshots with CPA, CAC, payback and lead or user quality (activation rate or SQL rate)
3) CRO and structured experimentation
Evidence required:
- At least 5 experiments documented with hypothesis, primary metric, result, and decision
- Examples of checkout optimization, trial to paid, or signup to paid
4) Lifecycle and retention
Evidence required:
- Metrics: churn, D7 and D30 retention or NRR, measured uplift
5) Analytics and tracking
Evidence required:
- Event taxonomy or tracking plan built by you
- Dashboards with funnel, cohorts, and core metrics
6) Effective work with a technical team
Evidence required:
- PRDs or user stories written well, ticketing, definition of done, tracking QA
- Examples of collaboration with a CTO or engineering on experiment delivery
- PLG experience and advanced product analytics
- Pricing and packaging, annual plans, trials, freemium conversion
- Referral and affiliate programs
- SEO or programmatic content
- Experience in GCC and European markets, multi language go to market
- Knowledge of credit token metering systems or usage based billing
- Full funnel audit and baseline
- Tracking plan and executive dashboard with core metrics
- Experiment backlog ready with at least 20 prioritized items
- Governance setup: weekly growth meeting, decision log, experiment templates
- B2B led variant: MQL and SQL definitions and SLA with Sales Developers
- 6 to 10 experiments completed across paid, landing, onboarding, lifecycle
- 1 to 2 acquisition channels stabilized with CPA and quality under control
- Stable and repeatable experimentation system
- Measurable uplift on 2 to 3 core metrics (activation, conversion, churn, or CAC)
- Channel playbook and scaling and kill rules
- Next quarter plan based on data and funnel math
- Ne…
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