Head of Engineering

Posted 3 Days Ago
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Hiring Remotely in Jakarta, DKI Jakarta, IDN
Remote
Senior level
Artificial Intelligence • Sales • Software • Pharmaceutical
The Role
The Head of Engineering will lead logistics technology platform development, manage large engineering teams, and drive technology strategy for operational efficiency and innovation.
Summary Generated by Built In

We are seeking a Head of Engineering to lead the development and operations of our logistics technology platforms that power both customer-facing experiences and mission-critical back-office systems. This role will oversee engineering for our funnel products (mobile/web applications that drive customer acquisition, revenue conversion, and order management) as well as our productivity operational systems (HR, Finance, Legal, ERP).

The ideal candidate is a strategic technology leader with a proven record of delivering large-scale, high-availability systems, managing sizable engineering teams, and driving innovation through modern software practices and AI adoption.

Key Responsibilities

Leadership & Strategy

  • Build, mentor, and scale a high-performing engineering team (40+ engineers across mobile, backend, DevOps, and enterprise systems).

  • Partner with C-level leadership (Product, Operations, Finance, Commercial) to align technology execution with nationwide logistics and growth strategies.

  • Drive engineering culture focused on speed, reliability, scalability, and security.

  • Ensure technology decisions support operational efficiency in high-volume logistics environments.

Technology Ownership

  • Oversee development of customer-facing applications (iOS, Android, React Native, Node.js, Golang, Java) to drive funnel conversion, order tracking, payments, and client engagement.

  • Own and scale operational and back-office platforms (Odoo, HR, Finance/Accounting, Legal) with deep integration into logistics operations and nationwide delivery workflows.

  • Ensure applications stability that are streamlined with high TPS backends to perform seamlessly at scale.

  • Guarantee 99.99% uptime across mission-critical systems powering revenue generating activities.

Engineering Excellence

  • Champion CI/CD pipelines, trunk-based development, GitFlow, and test automation to support rapid, reliable deployments.

  • Drive adoption of AI/ML tools to accelerate development, improve forecasting, routing optimization, fraud detection, and anomaly monitoring.

  • Implement best-in-class security practices, ensuring compliance with data protection standards, logistics industry regulations, and financial integrity.

  • Lead system observability and incident response frameworks to minimize downtime and operational disruptions.

Operational Impact

  • Collaborate closely with operations teams to translate logistics workflows into scalable digital systems.

  • Build resilient platforms capable of handling nationwide network complexity, high concurrency, and peak demand during seasonal spikes.

  • Optimize infrastructure cost vs. performance for cloud-native environments (GCP/AWS).

  • Enhance back-office automation and reporting systems to streamline HR, finance, and compliance functions.

Required Qualifications
  • 12+ years in software engineering with at least 8 years in senior engineering leadership roles.

  • Proven success leading large engineering teams (40+ engineers) in operationally heavy, mission-critical environments.

  • Hands-on experience with scalable, high-throughput systems requiring 99.99% uptime.

  • Strong technical background in mobile/web platforms, microservices, real-time logistics/transaction systems.

  • Expertise in current stack: Swift, Kotlin, Golang, Java, Node.js, React Native, PostgreSQL, MongoDB, Kubernetes.

  • Deep knowledge of CI/CD pipelines, trunk-based development, and DevOps best practices.

  • Strong foundation in software security, secure architecture, and compliance frameworks.

Preferred / Good-to-Have
  • Experience in logistics, e-commerce, or fintech platforms with high operational complexity.

  • Familiarity with routing optimization, fleet management, supply chain integrations, or real-time delivery tracking systems.

  • Success in scaling platforms across a nationwide user and operations base.

  • Knowledge of AI/ML in logistics optimization (e.g., demand forecasting, route planning, predictive maintenance).

  • Experience with AI/ML for software delivery acceleration, personalization, or operational automation.

  • Prior success in balancing funnel (revenue-critical) systems and internal back-office platforms.

  • Exposure to enterprise-grade ERP systems integration and customization.

  • Strong financial literacy and experience collaborating with CFO/COO on cost optimization and system investments.

  • Excellent stakeholder management, executive communication, and cross-functional leadership.

Key Soft Skills
  • Strategic mindset with ability to balance growth, operational resilience, and cost efficiency.

  • Strong decision-making under pressure, especially in time-sensitive logistics environments.

  • Excellent communication skills to bridge technology, operations, and business stakeholders.

  • Passion for leading tech innovation in logistics and delivering measurable impact on nationwide operations.

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The Company
978 Employees
Year Founded: 2017

What We Do

Paxel.AI is an AI-powered sales platform designed for pharmaceutical manufacturers, aiming to improve sales productivity by automating tasks and providing actionable insights.

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