At 99 Logistics, we believe the next wave of operational excellence will be powered by Artificial Intelligence.

As the Operations Tech & AI Manager, you will be responsible for building the technology and intelligence layer that powers our Growth Operations teams. Your mission is to transform manual processes, fragmented data, and reactive decision-making into scalable, automated, and AI-driven systems.

This role goes beyond automation and dashboards. You will act as the AI leader for Logistics, identifying opportunities to embed AI across operational workflows, driving adoption of new technologies, and representing the Logistics organization in cross-functional AI initiatives across the company.

You will work at the intersection of Operations, Data, Product, Engineering, and Artificial Intelligence, building tools, automations, agents, predictive models, and internal platforms that enable teams to operate faster, smarter, and at scale.

If you enjoy turning emerging technologies into real business impact and want to help define how AI transforms logistics operations, this role is for you.

Build the Ops Engine

• Design and implement internal tools and automation systems that support Growth Operations teams.
• Replace manual operational routines (spreadsheets, manual reports, repetitive analysis) with scalable automation.
• Develop tools that improve operational efficiency and decision-making across logistics verticals (C2C, B2C, Freight).

Institutionalize Data Intelligence

• Act as the guardian of operational data quality and consistency across teams.
• Ensure key metrics across the organization are standardized, reliable, and aligned.
• Build frameworks that turn operational data into actionable insights.

Deploy AI & Predictive Capabilities

• Implement AI-driven workflows to automate repetitive operational analysis.
• Develop predictive models to shift from reactive reporting to proactive forecasting.
• Leverage LLMs to summarize operational reports, analyze customer feedback, or classify operational signals.

Build Decision Tools & Dashboards

• Create intuitive dashboards and operational tools that help teams quickly understand performance and act.
• Move beyond static reporting into real-time monitoring and automated alerts.
• Build systems that notify teams when operational metrics deviate from expected patterns.

Identify Efficiency Opportunities

• Analyze operational processes to identify bottlenecks and inefficiencies.
• Work closely with Growth Ops teams to translate operational problems into technical solutions.
• Continuously improve the internal toolkit that powers the logistics operation.

Lead AI Transformation Across Logistics

• Own the AI strategy and roadmap for Logistics Growth Operations.
• Drive AI adoption across operational processes and decision-making.
• Lead the development of AI-powered tools, automations, and agents.
• Represent Logistics in cross-functional AI governance and strategic initiatives.
• Act as the AI subject matter expert for the Logistics organization.

• 6+ years of experience in Data, Analytics Engineering, Ops Tech, AI or Automation-focused roles.

• Strong experience with Python, SQL, and data automation workflows.

• Experience building internal tools, dashboards, or data pipelines.

• Ability to translate operational problems into technical solutions.

• Strong product mindset when building tools for internal users.

• Experience working with cross-functional teams in fast-paced environments.

  Nice to Have

  • Experience working in marketplaces, logistics, mobility, or operations-heavy environments.

  • Familiarity with AI / LLM tools and automation frameworks.

  • Experience building AI agents or copilots using platforms such as OpenAI, Anthropic, Gemini, LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.

  • Experience with BI tools (Power BI, Looker, Tableau).

  • Background in Analytics Engineering, Data Science, or Ops Engineering.