Senior Full Stack AI PLG Engineer

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 fullstack 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 communicationsturning 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 workflowsactivation expansion and retentionspanning 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.

Qualifications :

• 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.

Additional Information :

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.

Remote Work :

Yes

Employment Type :

Full-time