Jobs at Agero

Define and deliver architectures and prototypes for new, large-scale, highly available software systems. Research and qualify emerging technologies, design extensible systems, produce technical documentation, mentor engineers, and support transitions to operational teams while applying cloud-native, event-driven, and generative-AI approaches.

Design, develop, and deploy machine learning models and pipelines to optimize operations. Lead full ML project lifecycle, ensure model evaluation/monitoring, collaborate cross-functionally, mentor junior engineers, and drive continuous improvement in ML applications and processes.

Lead and scale a talent acquisition function by building and coaching a recruiting team, deploying modern talent tech and analytics, improving candidate experience and employer brand, partnering with business leaders on workforce planning, and measuring quality-of-hire and candidate sentiment to drive hiring outcomes.

Design, develop, implement, and evaluate synchronous, asynchronous, and blended learning solutions. Partner with SMEs and business units to create eLearning, instructor-led training, job aids, assessments, and metrics-driven improvements. Manage multiple instructional design projects, facilitate Train-the-Trainer sessions, and leverage e-learning tools (including Articulate and AI-enabled technologies) to improve associate performance and ROI.

Assist the Chief Strategy Officer in executing corporate strategy, perform analysis, support decision-making, and develop strategies to enhance Agero's market position.

Handle inbound customer cases for Kia Care, troubleshoot vehicle technology and warranty/repair issues, coordinate with dealerships and vendors, document interactions in CRM, de-escalate calls, and ensure timely, empathetic resolutions while working onsite in a contact center.

Own the roadmap for native provider mobile apps and GPS/telematics data collection. Lead cross-functional teams to improve location data quality, provider workflows, and dispatch outcomes. Write requirements, prioritize backlog, define success metrics, run experiments, and communicate progress to stakeholders to drive measurable business impact.

Lead the launch of sophisticated data products, manage the entire product lifecycle, collaborate across functions, and develop business strategies.

Lead quality engineering for Accident Management by defining test strategy, writing automation-ready acceptance scenarios, designing test frameworks, improving CI/CD signals, partnering with QA automation engineers, reviewing automation PRs, and establishing release-readiness evidence across UI, APIs, and observability.

Support a portfolio of client accounts by resolving escalations, auditing workflows, managing billing and invoices, building dashboards and reports, monitoring KPIs, identifying growth opportunities, and driving cross-functional process improvements to ensure contractual compliance and client retention.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.