Lead Product role for AI integration into Collective's Core Platform. Architecting and managing the unified task system and member experience at a financial technology startup.
About the role
- Product Manager developing analytics-driven products and solutions for critical IT observability. Leading telemetry data analysis and collaborating with data scientists in a hybrid work environment.
Responsibilities
- Ensure solutions are AI-ready so that agents can interact seamlessly with data and models.
- Telemetry capacity forecasting and anomaly detection to anticipate system load, detect irregularities, and prevent failures.
- Historical threshold analysis for metrics, logs, and traces to establish baselines and identify deviations over time.
- Dynamic, high-performance visualizations capable of displaying and exploring large volumes of telemetry data.
- Self-service analytics workbench empowering internal teams and customers to run anomaly detection and statistical models independently.
- Automated incident contextualization to correlate telemetry anomalies with logs, traces, and historical incidents for faster root-cause analysis.
- Data retention and lifecycle optimization with analytics-driven policies that balance storage costs against long-term insight value.
Requirements
- 5+ years of product management experience in observability or IT operations for financial services.
- Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection.
- Experience working with monitoring, predictive analytics, or automation tools.
- Hands-on experience with telemetry data (logs, metrics, traces) and IT infrastructure monitoring (e.g., OpenTelemetry, Prometheus, ELK, Splunk, ITRS Geneos, Datadog, Dynatrace, etc.).
- Knowledge of AI/ML frameworks (TensorFlow, PyTorch, MLflow) and automation tools (Terraform, Ansible, ServiceNow ITSM).
- Technical background or strong understanding of software engineering, cloud infrastructure, and DevOps.** **
- **You will benefit from having the following experience:**
- Understanding of real-time streaming architectures (Kafka, Flink, Kinesis).
- Familiarity with cloud-native financial services architectures (AWS, Azure, GCP)
Benefits
- Health Insurance and Dental Health Cover for you and your dependants
- Employee Assistance Programme
- Pension
- Flexible Hybrid Working
- Enhanced Parental Leave
- Travel Insurance
- Life Assurance
- Income Protection
- Referral Bonus
- Buy and Sell Holiday
- Training Reimbursement
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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