Tonic.ai

• Own the top of our funnel; from first impression to signed-up user. • Manage paid channels, email marketing, and ABM execution. • Measure against the pipeline and paid conversions your programs produce. • Write ads, run Clay workflows, launch campaigns, and optimize them. • Run experiments and request necessary assets, support, or budget. • Google Ads management: search campaigns for all products. • Manage paid social: channels include LinkedIn, Meta, Reddit, etc. • Coordinate acquisition email sequences targeting prospects. • Run account-based campaigns and direct mail to high-intent segments. • Test creative, list, and offer combinations with measurable response tracking. • Document test-and-learn results for the marketing team.

• Architect the AI-Native PLG Funnel: Move beyond traditional onboarding emails by building autonomous agents that research, activate, and guide users through the Fabricate experience. • Engineer the Sales Bridge: Leverage AI-native orchestration (Clay, n8n, etc.) and LLMs to identify high-fidelity Product Qualified Leads based on complex usage patterns that standard tools miss. • Invent Growth Capabilities: Build what doesn't exist yet, like a persistent agent that scans usage data to identify "Aha!" moments and personalizes expansion paths in real-time. • Build the Experimentation Layer: Rapidly prototype in-product experiments, including pricing gates and credit-based systems, using AI to ship functional growth loops overnight.

• Own the Self-Serve Roadmap: You’ll translate revenue goals into a prioritized backlog of in-product experiments, testing pricing gates, credit-based systems, and "swipe-to-pay" pathways. • Master the Onboarding Flow: You’ll define the "Aha!" moment for Tonic Fabricate and build the in-app checklists, tooltips, and activation triggers that ensure technical users find value in their first session. • Instrument the Sales Bridge: You will identify the high-intent signals that define a Product Qualified Lead. You’ll architect the hand-off that alerts our sales team when a developer at a Fortune 500 company has reached critical usage depth. • Product-Led Expansion: Identify and implement viral product features, such as team invitations or shared workspaces, to drive bottom-up growth within large organizations. • Usage-Based Retention: Map customer cohorts and build automated, data-driven triggers (email, in-app, Slack notifications) that move users from trial to habit formation to expansion.

• Design, build, and evolve database-centric components within Tonic’s structural data platform • Make pragmatic architectural decisions that balance durability, performance, and maintainability • Develop and maintain database connectors for the Structural platform • Improve performance and maintainability of the product • Troubleshoot complex production issues across multiple database technologies • Investigate edge cases and system behaviors that require both patience and precision • Author thoughtful technical designs and documentation • Partner with Product to translate requirements into scalable solutions • Work closely with Support and Solutions Architects to deeply understand issues before implementing fixes • Raise the bar through code quality, technical judgment, and strong engineering habits • Bring informed perspectives on modern tooling, including AI-assisted development

• 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.

• Design, build, and evolve database-centric components within Tonic’s structural data platform • Make pragmatic architectural decisions that balance durability, performance, and maintainability • Develop and maintain database connectors for the Structural platform • Improve performance and maintainability of the product • Troubleshoot complex production issues across multiple database technologies • Investigate edge cases and system behaviors that require both patience and precision • Author thoughtful technical designs and documentation • Help the team reason through tradeoffs and long-term implications • Partner with Product to translate requirements into scalable solutions • Work closely with Support and Solutions Architects to deeply understand issues before implementing fixes • Raise the bar through code quality, technical judgment, and strong engineering habits • Bring informed perspectives on modern tooling, including AI-assisted development

• Cloud Ecosystem Management: Run point on our AWS, Azure, and GCP relationships. You will manage account mapping sessions, navigate co-sell portals, and ensure Tonic is the "go-to" recommendation for cloud reps selling into AI and data privacy use cases. • Channel Execution: Manage and grow our relationships with Systems Integrators (SIs), VARs, and resellers. You will be responsible for partner enablement, ensuring they have the tools and knowledge to source and influence deals. • Joint Value Propositions: Work with the CFO & VP of BizDev to identify strategic ISVs. You will help draft and iterate on the "better together" stories that show how Tonic integrates with the broader AI/ML stack. • GTM Coordination: Act as the liaison between partner reps and Tonic’s internal Sales and Marketing teams to ensure leads are followed up on and co-marketing activities (webinars, events, etc.) are executed flawlessly. • Operational Tracking: Use Salesforce and partner portals to track pipeline, attribute partner influence, and report on the health of each partnership to the executive team.

• Own the company-wide strategic planning process, including annual budgeting, rolling forecasts, and long-term financial modeling. • Analyze and iterate on pricing structures to maximize growth and retention, ensuring alignment with product value and market demand. • Evaluate organic and inorganic growth opportunities, including M&A, strategic partnerships, and capital allocation strategies. • Lead mission-critical "special projects" requested by the C-suite and VPs across Product, Marketing, Engineering, and Sales. • Build and refine scalable processes across finance, business, and growth to ensure the organization can operate efficiently at scale. • Own and optimize key finance and operating systems to ensure data integrity and operational leverage. • Drive the adoption of AI and automation across finance, business, and operating systems to enhance efficiency, data accuracy, and operational leverage. • Own the preparation of Board materials, Investor updates, and internal business reviews. Define and track company-wide KPIs and OKRs to ensure the business is aligned on performance. • Work closely with Product, Sales, Marketing, and Partnerships to align on strategic initiatives and investments. • Coordinate with Accounting partners to ensure a bi-directional flow of information during close cycles, ensuring financial accuracy matches strategic intent. • Own the reporting and analysis of PLG usage metrics, explicitly linking them to the company's P&L and unit economics.