Senior Full Stack AI PLG Engineer

Thought Industries powers the business of value with our industry-leading Learning Platform and AI-driven innovations. Founded in 2013, we believe customer learning should be modern, intuitive, engaging, and scalable. Our award-winning learning platform delivers personalized learning and measurable impact for global enterprises—and now, with our new Customer Value Realization AI Agents, we help organizations automate content creation, personalize experiences, and drive real-time customer value.

A Senior/Lead AI PLG Engineer is a hands-on engineering role focused on architecting and operating the automated systems that power a product-led growth (PLG) motion. This role blends deep full‑stack expertise with modern AI capabilities to design reliable, event-driven pipelines across our application and the go-to-market stack (PostHog, Salesforce, HubSpot, Google Analytics, and more). You will build the workflows that collect product usage signals, enrich and route customer data, and automate lifecycle communications—turning raw events and feedback into timely actions for self-serve users and revenue teams. You will partner closely with product, growth, and sales to translate PLG goals into robust, observable automation that accelerates activation, retention, and expansion.

This role is remote and reports to the Director of Engineering.

Core Responsibilities

• Architect end-to-end automations for PLG workflows—activation, expansion, and retention—spanning data collection, enrichment, routing, and messaging.

• Design reliable event pipelines across the app, PostHog, Google Analytics (GA4), Salesforce, HubSpot, and internal services with clear data contracts and versioned schemas.

• Build and operate job orchestration using Inngest for webhooks, scheduled jobs, and multi-step workflows with strong guarantees (idempotency, retries, backoff, deduplication).

• Leverage AI tools (Cursor, Claude, etc.) to achieve 10x development productivity across the full stack.

• Implement bi-directional syncs between product usage data and CRM/marketing systems (account/user mapping, lead/contact enrichment, lifecycle stage updates, campaign attribution).

• Engineer AI-powered automations to classify intent, summarize product feedback, score accounts, and generate personalized follow-ups across email/chat channels.

• Establish and maintain PLG event taxonomy, naming conventions, and governance to ensure analytics consistency across clients, back end, and third-party tools.

• Create health checks, SLAs, and on-call playbooks for automation reliability; add structured observability (traces, metrics, logs) and alerting for critical workflows.

• Build lead and account routing rules that leverage product usage signals, ICP fit, and engagement to automatically prioritize outreach.

• Implement lifecycle messaging automations (onboarding, activation nudges, re-engagement) with guardrails to prevent noise and protect sender reputation.

• Partner with product and growth to design A/B tests and experiments; instrument funnels and cohorts to quantify impact on PLG KPIs.

• Own the experimentation platform and A/B testing framework: feature flags, assignment and exposure logic, guardrails, and standardized analysis/reporting.

• Ensure data quality via validation, reconciliation, and schema evolution strategies; create dashboards for pipeline health and data freshness.

• Optimize serverless functions on Vercel for webhook handling and real-time automations; reduce cold starts and control cost at scale.

• Enforce compliance and security best practices for customer data moving across systems (PII handling, audit trails, access controls).

• Document architecture, data flows, and runbooks; mentor engineers on building resilient, AI-enabled automations.

• 8+ years of professional experience building production systems with modern TypeScript/JavaScript.

• 2+ years designing and operating job orchestration and event-driven workflows (Inngest, Temporal, Airflow, Bull, or similar).

• Proven experience automating PLG motions across analytics, CRM, and marketing tools (PostHog, Salesforce, HubSpot, GA4; Segment/RudderStack a plus).

• Strong background in event taxonomy design, data contracts, schema versioning, and governance for analytics/automation.

• Expertise with webhook processing at scale including idempotency, retries, deduplication, and rate limit handling.

• Hands-on experience building bi-directional integrations and reverse ETL-style data syncs between product databases and GTM systems.

• Proficiency with AI-assisted workflows: prompt engineering for classification/summarization, routing, prioritization, and personalization.

• Production experience with , React, and TypeScript in serverless environments (Vercel) and streaming/server components.

• Solid data engineering fundamentals: ETL design, PostgreSQL performance, and ORMs (Drizzle, Prisma) with an emphasis on correctness and efficiency.

• Familiarity with growth analytics patterns: funnel instrumentation, cohorting, event modeling, and experiment analysis.

• Hands-on experience running statistically sound A/B/n tests and holdouts (power analysis, sample sizing, sequential testing considerations, and avoiding peeking bias).

• Strong observability mindset: metrics, tracing, structured logging, SLOs/SLIs, and practical incident response.

• Security and privacy awareness for customer data flows (PII minimization, encryption, RBAC, audit logs).

• Excellent written and verbal communication for cross-functional collaboration and clear documentation.

• Self-directed, outcomes-oriented, and comfortable evaluating and adopting new AI/automation tools.

• Bonus: Segment/RudderStack, dbt, or reverse ETL platforms (Hightouch, Census) experience.

• Bonus: Lead and account scoring systems using product telemetry and enrichment data.

• Bonus: PostHog pipelines, custom ingestion, or plugin development.

• Bonus: Marketing automation tools and messaging platforms (email, in-app, chat) with deliverability best practices.

• Bonus: Experience building internal tooling for GTM teams (playbooks, routing consoles, data quality dashboards).

• Bonus: Background in PLG operations, revenue operations, or growth engineering.

All your information will be kept confidential according to EEO guidelines.

Thought Industries does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. Employment decisions at Thought Industries are based on merit, qualifications, and abilities.

Thought Industries does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. Employment decisions at Thought Industries are based on merit, qualifications, and abilities.