Bat Around™, a data-driven insurance platform, is hiring a Cost Effectiveness Engineer to lead efforts ensuring cloud and tooling spend is lean, optimized, and clearly understood. You will redesign cost-effectiveness structures using AI-driven strategies, combining technical expertise, financial insight, and cross-functional collaboration.

What You'll Do

Track and analyze spend across AWS, Azure, GCP, Snowflake, FiveTran, DBT, Datadog, Splunk, Grafana, and other SaaS platforms.
Build dashboards in Power BI, Qlik, or similar tools to visualize spend and usage patterns.
Apply AI/ML techniques for anomaly detection, forecasting, and automated insights.
Integrate cost management data via APIs (AWS Cost Explorer, Datadog, Kubernetes cost APIs, etc.) for real-time monitoring.
Compare actual spend vs. budgeted forecasts and escalate when thresholds are exceeded.
Support root cause analysis using usage data and AI-driven insights.
Design automated processes for forecast expansion or budget increase requests.
Lead weekly cost usage reviews with engineering, DevOps, and product leads.
Drive a proactive culture of cost awareness and accountability.
Partner with teams to optimize data workflows and observability configurations without sacrificing performance.
Define and enforce tagging and labeling strategies to ensure accurate cost attribution.
Collaborate with DevOps to enforce compliance and traceability.
Influence vendor negotiations, license optimization, and procurement cycles with AI-informed forecasting.
Manage incidents related to data ingestion, analytics anomalies, and platform access.
Coordinate real-time response efforts with Engineering, Product, DevOps, and Operations.
Ensure uptime and health metrics align with SLAs across data pipelines and services.

What We're Looking For

Strong knowledge of cloud platforms and cost models (AWS, GCP, Azure).
Hands-on experience with dashboards and BI tools (Power BI, Qlik, Tableau, etc.).
Developer-level comfort with scripting, APIs, and automation (Python preferred).
Experience integrating and analyzing data from SaaS and observability tools.
Proven ability to apply AI/ML techniques for forecasting, anomaly detection, and automation.
Excellent communication and cross-functional collaboration skills.

Nice to Have

FinOps or DevOps experience managing budgets, chargebacks, or tooling strategy.
Familiarity with tagging governance, approval workflows, and cost attribution models.
Exposure to platforms like AWS Cost Explorer, GCP Billing, CloudHealth, or Datadog Cost Management.

Technical Stack

AWS, Azure, GCP, Snowflake, FiveTran, DBT, Datadog, Splunk, Grafana, Power BI, Qlik, Tableau, Python, APIs

Benefits & Compensation

Remote-first work environment (US, Canada, UK, or Europe preferred).
Flexible time off.
Health and wellness coverage including high-quality medical and dental benefits.
Global collaboration with most team interaction in mornings ET.
Occasional travel opportunities for in-person connection.
Competitive compensation.