Senior AI PLG Engineer

About the Role

Key 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 Next.js 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 guarantees like idempotency, retries, backoff, and deduplication.
• Leverage AI tools (Cursor, Claude, etc.) to increase 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 for analytics consistency.
• Create health checks, SLAs, and on-call playbooks for automation reliability; add observability (traces, metrics, logs) and alerting.
• Build lead and account routing rules based on product signals, ICP fit, and engagement to 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 teams to design A/B tests and experiments; instrument funnels and cohorts to measure impact on KPIs.
• Own the experimentation platform and A/B testing framework, including feature flags, assignment logic, guardrails, and reporting.
• Ensure data quality through validation, reconciliation, and schema evolution; create dashboards for pipeline health and data freshness.
• Optimize serverless functions on Vercel for webhook handling and real-time automations, reducing cold starts and controlling costs.
• Enforce compliance and security best practices for customer data (PII handling, audit trails, access controls).
• Document architecture, data flows, and runbooks; mentor engineers on building resilient, AI-enabled automations.

Requirements

• 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 Next.js, React, and TypeScript in serverless environments (Vercel) and streaming/server components.
• Solid data engineering fundamentals: ETL design, PostgreSQL performance, and ORMs (Drizzle, Prisma).
• 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).
• Strong observability mindset: metrics, tracing, structured logging, SLOs/SLIs, and incident response.
• Security and privacy awareness for customer data flows (PII minimization, encryption, RBAC, audit logs).
• Excellent written and verbal communication skills for cross-functional collaboration and documentation.
• Self-directed, outcomes-oriented, and open to adopting new AI/automation tools.

Nice to Have

• Segment/RudderStack, dbt, or reverse ETL platforms (Hightouch, Census) experience.
• Lead and account scoring systems using product telemetry and enrichment data.
• PostHog pipelines, custom ingestion, or plugin development.
• Marketing automation tools and messaging platforms (email, in-app, chat) with deliverability best practices.
• Experience building internal tooling for GTM teams (playbooks, routing consoles, data quality dashboards).
• Background in PLG operations, revenue operations, or growth engineering.

Qualifications

• Educational background is not explicitly specified; experience and skills are emphasized.

Benefits & Perks

• Not specified in the description.