Protex AI is the AI safety and operations intelligence company.
At Protex AI, we are at the forefront of AI-driven computer vision, building a safer, smarter industrial workplace with an intelligent operating system that redefines how facilities operate. Backed by top-tier global investors, we recently secured a $36 million Series B to accelerate our mission.
Industry leaders like DHL, Amazon, and Tesla trust Protex AI to drive measurable safety improvements, achieving an average 64% risk reduction within just three months of deployment. Operating in 20+ countries, Protex is the go-to safety partner for Fortune 500 manufacturing and logistics enterprises, transforming workplace safety with real-time, AI-powered insights.
Level: Mid
Location: Bangalore, India
Base Salary: INR ₹3,094,860 - ₹4,126,480 per year
About the Role:As the Data Operations Lead, you will play a pivotal role in building and running a new function. You will oversee a small team focused on executing deployments, investigating model performance, and driving data quality. This is a leadership role that blends strong execution with vision; you’ll shape processes, tools, and strategy while staying close to the work.
You will work cross-functionally with Computer Vision Operations, Customer Success, and Solutions teams to ensure we deliver high-quality, compliant data operations at scale.
Responsibilities:Lead the Data Operations team: mentor and manage a small team responsible for deployments, investigations, and dataset integrity.
Own the install and investigation lifecycle: from planning client deployments to debugging underperforming models.
Drive continuous improvement of operational processes, documentation, and internal tooling to ensure repeatability and scalability.
Be the escalation point for complex investigations and high-impact data quality issues.
Establish metrics and reporting to track deployment performance, investigation impact, and annotation quality over time.
Interface with cross-functional teams: proactively coordinate with annotation workforces, CV engineers, and customer-facing teams to align goals and execution.
Strong project and people management skills — can set direction, delegate effectively, and lead from the front.
Analytical mindset with a bias for action — able to synthesize operational data into insights and drive decisions.
Deep sense of ownership — comfortable taking responsibility for mission-critical systems and delivering under pressure.
Strong written and verbal communicator — able to distill complexity and build alignment across diverse stakeholders.
5+ years of experience working with data in production systems, ideally in ML/Computer Vision environments.
Previous leadership experience — formally or informally led small teams or initiatives.
Strong hands-on technical skills, including:
Python for scripting, data processing, and automation.
SQL for metrics and monitoring dashboards.
AWS (e.g., S3, Batch, Lambda) for managing data infrastructure.
Voxel51/FiftyOne or equivalent for dataset exploration and QA.
Experience managing relationships with external vendors (e.g., annotation workforces).
Familiarity with regulatory frameworks for data privacy (e.g., GDPR) is a strong plus.
Prior start-up experience or a track record of thriving in fast-paced, ambiguous environments.
Protex AI is an inclusive and equal opportunities employer. We are committed to creating an equitable workplace for everyone regardless of gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.
Top Skills
What We Do
We believe that every worker has the right to go home safe every day. We also believe that every employer should provide a duty of care in order for this to happen. At Protex AI, we're helping enterprise EHS teams to revolutionise how they make proactive safety decisions that help contribute to a safer work environment. Our AI-powered technology is enabling businesses to gain greater visibility of unsafe behaviours in their facilities. The privacy-preserving platform plugs into existing CCTV infrastructure and uses its computer vision technologies to capture unsafe events autonomously in settings such as warehouses, manufacturing facilities and ports









