Engineering Manager - AI & Automation
estaie
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Posted 4 hrs ago
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Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
We are building an AI-driven layer that connects hospitality, fintech, and data intelligence powering dynamic pricing, agentic lead generation, smart inventory orchestration, and autonomous operations across global markets.
Our mission: to make long-stay travel frictionless, intelligent, and financially optimized for operators, corporate bookers, and digital nomads alike.
We are now looking for an Engineering Manager who is both architect and craftsman, someone who codes, reviews, deploys, and leads by example while scaling a globally distributed team that builds at the intersection of AI, automation, and high-availability systems.
As Engineering Manager, you will:
- Architect, lead, and build the end-to-end technology stack powering estaie s global platform from APIs and data pipelines to AI-driven automation.
- Stay hands-on: You ll code (Python, TypeScript, SQL), review PRs, mentor engineers, and set the engineering bar for quality and scalability.
- Translate vision into architecture: Partner with the CTO and AI leadership to design systems that support multi-region deployments, dynamic pricing models, and agentic automation pipelines.
- Drive technical strategy: Balance quick iteration with robust system design , applying microservice principles, event-driven patterns, and CI/CD excellence.
- Oversee integrations: Design and maintain scalable integrations with booking channels, communication platforms, fintech gateways, and internal automation tools.
- Champion reliability and observability: Own uptime, security, and performance across multiple regions and environments (Cloudflare WAF, CI/CD pipelines, logging, tracing, Statsig experiments).
- Mentor and scale engineering culture: Coach engineers on architecture, clean code, and data-driven decision-making. Foster a culture of accountability, automation, and measurable impact.
Tech Stack & Ecosystem
Frontend
Frameworks: Next.js, React 19, TypeScript, TailwindCSS
Practices: Component-driven architecture, server actions, SSR/ISR optimization, accessibility and performance benchmarking
Backend
Languages: Python (FastAPI), Node.js (NestJS), Go (for microservices)
Architecture: Event-driven and microservice-oriented, GraphQL and REST APIs, gRPC for internal communication
Auth & Access: Cloudflare Access, OAuth2.0, JWT, domain-restricted permissions
AI & Automation
Core: Vertex AI, LangChain, Pinecone, OpenAI API, Gemini, Statsig for feature experimentation
Pipelines: BigQuery + Datastream + Cloud Functions for data ingestion and transformation
Use Cases: Dynamic pricing, lead generation agents, operational copilots, data enrichment bots
Data Platform
Storage: BigQuery, Firestore, Postgres (Cloud SQL)
Streaming: Pub/Sub, Cloud Run, Kafka-like queueing for real-time updates
Monitoring: Cloud Logging, Prometheus, Grafana dashboards, custom anomaly detection
Infrastructure & DevOps
Cloud: Google Cloud Platform and AWS (Cloud Run, Cloud Build, IAM, Storage, Secret Manager)
CI/CD: GitHub Actions, GitHub Environments, automated schema migration and testing pipelines
IaC: Terraform (for repeatable environments and deployment orchestration)
Security: Cloudflare WAF, Cloud Armor, encrypted secrets and domain-restricted APIs
Integrations
Payments: Stripe, Tamara, Adyen, Paymob
Messaging: WhatsApp Business API, Twilio, Telegram bots
Channels: PMS sync via API webhooks
Desired Candidate Profile
8 12 years of software engineering experience, with at least 3+ years leading technical teams in high-growth SaaS or platform environments.
Proven track record of shipping complex products across frontend, backend, and data layers.
Deep hands-on skills in Python, TypeScript, SQL, and cloud infrastructure (GCP preferred).
Understanding of ML workflows and prompt orchestration (Vertex AI, LangChain, or custom LLM pipelines).
Strong grounding in software design patterns, CI/CD automation, and microservice scaling.
Experience managing a remote, distributed team , with high accountability and async collaboration culture.
Bias for action: you debug, document, automate, and measure.
You thrive in ambiguity, move fast, and care deeply about building products that work, not just systems that run.
Company Industry
Department / Functional Area
Keywords
- Engineering Manager - AI & Automation
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estaie
estaie is the market-leading platform for extended stays, offering accommodations ranging from 30 to 365 nights at exceptionally competitive rates, with savings of at least 32% compared to traditional OTAs. The platform features AI-driven dynamic pricing, a curated selection of hotels, serviced apartments, and Airbnbs, all tailored to suit long-term travelers. Focused on transparency, estaie provides an all-inclusive pricing model with no hidden fees or booking charges. Serving digital nomads, business travelers, relocating families, and enterprises, estaie is redefining the extended stay experience with seamless booking and value-driven choices. estaie is the world s first AI-native extended-stay accommodation platform, redefining how flexible living is priced, personalized, and operated.