# Digital Product Manager – FinOps

## About the Role

This role owns FinOps capabilities for Allstate Technology Services and is focused on turning FinOps into a product function that helps digital product teams understand and influence cloud and AI costs earlier in the lifecycle. The objective is to improve cost accountability, business value, and governance across ATS.

The position works across Product, Engineering, Cloud Platform, Finance, and Data Analytics. It is responsible for solutions that support cost attribution, optimization guidance, forecasting, tokenomics governance, and the connection between product decisions and business outcomes.

## Key Responsibilities

– Define and deliver FinOps products and capabilities for digital product teams.
– Help engineers and product teams understand and influence technology cost before spend is committed.
– Build support for workload cost attribution, optimization recommendations, forecasting, and AI/tokenomics governance.
– Link product-level decisions to business outcomes and technology unit economics.
– Partner with engineering to embed financial insight into development workflows, CI/CD pipelines, observability, and infrastructure-as-code tools.
– Work with data teams on integration, modeling, analytics, reporting, and governance needed for FinOps insights.
– Present insights, recommendations, and progress updates to senior leadership and cross-functional stakeholders.

## Required Skills

– Product management experience delivering technology, platform, cloud, or financial management capabilities in Agile environments.
– Strong FinOps knowledge, including cloud cost allocation, showback/chargeback, forecasting, budgeting, and cost optimization.
– Experience defining and measuring technology unit economics such as cost per transaction, workload, customer interaction, or business outcome.
– Familiarity with AWS, Azure, and GCP, plus cloud cost management tools, billing models, and resource utilization best practices.
– Experience partnering with engineering teams to embed financial insight into development workflows, CI/CD pipelines, observability platforms, and infrastructure-as-code tools.
– Strong analytical and data-driven decision-making skills.
– Experience with data integration, data modeling, analytics platforms, reporting tools, and data governance frameworks.
– Understanding of observability, telemetry, CMDB, product metadata, cloud usage, and financial datasets used for FinOps insight.
– Knowledge of AI cost governance concepts, including token consumption, model economics, inference costs, prompt optimization, and AI capacity planning.
– Ability to influence and collaborate across Product, Engineering, Finance, Cloud Operations, and Data Analytics.
– Strong communication, storytelling, and stakeholder management skills, including presenting to senior leadership.
– Systems-thinking mindset focused on engineering enablement, financial accountability, and outcome-based delivery.
– Experience with business case analyses, cloud operations, product roadmapping, and product strategy.

## Preferred Skills

– 7+ years of experience.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Azure
– GCP

### FinOps Platforms
– Cloud cost management tools

### Delivery & Engineering
– CI/CD pipelines
– Infrastructure-as-code tools
– Observability platforms

### Data & Analytics
– Data integration
– Data modeling
– Analytics platforms
– Reporting tools
– Data governance frameworks
– Observability
– Telemetry
– CMDB
– Product metadata
– Cloud usage data
– Financial datasets

## FinOps Responsibilities

– Improve cloud cost visibility and accountability across product teams.
– Support cost allocation, showback/chargeback, budgeting, and forecasting.
– Provide optimization recommendations before costs are incurred.
– Define and track technology unit economics.
– Connect product decisions to business outcomes and financial impact.
– Embed financial insight into engineering workflows, CI/CD, observability, and infrastructure-as-code.
– Support AI cost governance for tokens, inference, model economics, prompt efficiency, and capacity planning.

## Benefits

– Company-provided technology setup, including a laptop, monitors, headset, keyboard, and mouse.
– Monthly connectivity reimbursement for employees approved to work from home.

## Compensation

– Annual salary range: $120,000 to $193,725, depending on experience and qualifications.

## Work From Home Requirements

– Dedicated private workspace free from distractions.
– Appropriate desk and seating.
– Reliable internet with minimum speeds of 50 Mbps download and 5 Mbps upload.

## Why You Might Be Interested

This role offers the chance to shape FinOps as a product capability rather than a reporting function. It brings together product management, engineering, finance, cloud operations, and data analytics in one remit. The work also includes cloud cost accountability, unit economics, and AI governance, which are increasingly important areas for technology organizations.