Tonic.ai is a fast-growing, Series B company operating at the critical intersection of data privacy and AI agents. Our product, Tonic Fabricate, is an essential component of the modern AI development stack, enabling high-quality synthetic data generation.
We are looking for a Growth Marketing Manager to own the PLG funnel for Tonic Fabricate. Reporting to the Sr. Director of Growth Marketing, you will be responsible for the signup and post-signup user journeys with an emphasis on free-to-paid conversion, cross-sell, and funnel optimization.
What You’ll Do
You will sit at the center of Marketing, Product, and Engineering, acting as a technical marketer who can build a landing page in the morning and analyze SQL product usage patterns in the afternoon.
Drive the strategy for the self-serve experience You'll translate high-level growth goals (e.g., "Increase Trial-to-Paid Conversion by 25%") into a prioritized backlog of experiments and features.
Funnel Optimization: Obsessively monitor the user journey using Amplitude or Mixpanel. Identify drop-off points and run rapid A/B tests to smooth the path from discovery to expansion.
Monetization Strategy: Partner with Product to test pricing gates and self-serve pathways, and credit-based systems to ensure a frictionless "swipe-to-pay" experience.
End-to-End Lifecycle Strategy: Map customer journeys and define key stages (onboarding, activation, habit formation, expansion). Build multi-channel automated flows (email, in-app triggers, Slack notifications) to move users through these stages.
Usage-Based Nurture: Use product data to identify highly active users and deploy automated, personalized triggers (emails, in-app notifications) to guide them toward paid tiers.
Onboarding & Activation: Define the "Aha!" moment for Tonic Fabricate and build the in-app checklists, tooltips, and welcome series that ensure users find value in their first session.
Hyper-Personalization: Build and refine audience segments using behavioral and usage data to deliver personalized product education and milestone triggers.
PQL Identification: Instrument the platform to identify high-intent users and "Product Qualified Leads" (PQLs).
The "Sales Bridge": Create a seamless hand-off between self-serve paths and our sales team, identifying when a user belongs to a target enterprise account and surfacing that intent to our GTM teams.
Expansion Loops: Identify and implement "viral" features, such as team invitations or shared workspaces, to drive growth within organizations.
DAU (Daily Active Users): Driving consistent, high-intent usage of Fabricate.
Conversion Rate: Improving the % of free users who transition to paid self-serve seats.
Pipeline Generated: Identifying and qualifying enterprise-level opportunities from the self-serve pool.
Experience: 3+ years of growth marketing or "growth engineering" experience, specifically within product-led growth and self-service SaaS
Technical Fluency: You are comfortable writing SQL for cohort analysis, funnel deep-dives, and behavioral metrics.
AI-forward: You are able to vibe-code, build, and implement exponential efficiency through AI.
Creative Hustle: You don't wait for a brand agency. You can spin up experiments, test copy, and try "unscalable" things to find what works.
Analytical Rigor: Strong understanding of growth funnels, experimentation, and conversion optimization. You are data-informed and curious, using insights to prioritize, test, and refine ideas
Builder Mentality: You are excited to build the PLG playbook from scratch for a technical product in a cutting-edge category.
Impact: You will be the primary driver of growth for our newest, most strategic product line, Fabricate.
Autonomy: We value "bias for action." You will have the freedom to experiment, fail fast, and double down on winning growth loops.
Culture: We value intellectual curiosity and grounded, data-driven strategy.
Tonic.ai democratizes data access for all technical data consumers by eliminating trade-offs between privacy and data availability. Tonic’s solutions synthesize safe, high-fidelity versions of production data devoid of sensitive information and PII.
Hundreds of customers across industries depend on Tonic.ai to build data-driven software and fine-tune ML training models. They get all the value of production data without actually having to copy sensitive data around their organization, unlocking strategic data assets for use across functions, from engineering, to business operations, to even sales teams for demos. With high quality data, teams author fewer defects and ship faster all while having a strong security posture
