Senior Product Manager - Platform Infrastructure

Apex Fintech Solutions•Austin, TX

3d•Hybrid

About The Position

Apex Fintech Solutions (Apex) is seeking a Senior Product Manager for its Cloud Build, Provisioning & Automation team. This team is responsible for building and managing the cloud platform infrastructure across AWS, GCP, and Azure, including cloud platform builds, cost management, migration enablement, and infrastructure automation. The goal is to ensure Apex's cloud environment is fast, reliable, and cost-efficient. The Senior Product Manager will co-own the product roadmap for cloud infrastructure, focusing on migrations, provisioning automation, cost optimization, and AI-driven improvements. This is a hands-on role requiring technical problem-solving, build vs. buy evaluations, and the strategic use of AI. The individual will act as the team's voice across the organization, aiming to grow into a technical product leader.

Requirements

8+ years in product management, program management, solution architecture or a similar role in cloud infrastructure or platform engineering.
Working knowledge of cloud platforms (GCP, AWS, Azure), infrastructure provisioning (Terraform, Ansible), and platform engineering and a proven track record leveraging & optimizing these technologies.
Experience evaluating build vs. buy decisions for technology solutions.
Strong analytical skills — you can compile research, analyze data, and produce insights independently.
Good understanding of cloud cost levers and FinOps concepts across multiple cloud providers.
Comfort with technical product design discussions across multiple engineering teams.
Strong written and verbal communication — you can create AI prototypes, PRDs, status updates, and stakeholder-facing docs with minimal oversight.
Ability to manage multiple projects, balance competing priorities, and deliver in a fast-paced environment.
Genuine curiosity about AI, automation, and how to apply them to platform and infrastructure problems.

Nice To Haves

Experience managing or growing vendor relationships is a plus.

Responsibilities

Own and prioritize the roadmap for cloud migrations, provisioning automation, and platform builds across AWS, GCP, and Azure.
Develop and share strategic insights that impact key projects in your product area.
Build an AI-first roadmap — identify where AI and automation can accelerate delivery, reduce cost, and improve platform reliability.
Evaluate build vs. buy for technology solutions; make clear, data-backed recommendations.
Break large initiatives into well-defined epics, stories, and requirements that are well-understood by both business and technical oriented audiences.
Independently maintain a well refined product backlog spanning at least 2 quarters.
Drive the creation of 1-2 year feature area strategy based on team priorities and market research.
Produce data-driven insights through qualitative and quantitative means that inform strategy for your product area.
Analyze cloud usage across AWS, GCP, and Azure to identify cost optimization opportunities.
Partner with engineering and finance to implement cost-saving measures and track results.
Develop a working understanding of cloud engineering and architectural concepts (networking, compute, storage, IaC, CI/CD) across major cloud providers.
Effectively manage end-to-end delivery of infrastructure projects — on time, in scope, both independently and in partnership with Program Management.
Lead an engineering group to remove roadblocks and streamline execution while ensuring quality standards are met.
Drive the creation and efficacy of all team ceremonies.
Set OKRs, track success metrics (project timelines, cost savings, migration milestones), and communicate progress.
Manage projects with some ambiguity and multiple inbound/outbound dependencies independently.
Effectively balance speed and quality.
Work with cross-functional teams to design scalable solutions and get hands-on when needed.
Maintain and grow partnerships with cloud vendors (AWS, GCP, Azure) and tooling partners.
Coordinate objectives, timelines, and dependencies (both inbound & outbound) across teams to minimize operational impact.
Use AI tools and techniques to bring strategic value — from automating workflows to generating insights from platform data.
Stay curious about emerging cloud and AI technologies; bring ideas back to the team and roadmap.
Serve as the face of the team — communicate progress, wins, and impact to leadership and stakeholders.
Provide advice and mentorship to junior team members; share customer and platform insights to elevate the team.
Build the team's reputation for reliability and delivery excellence.