# Senior Product Manager – Cloud Infrastructure & Platform

**Company:** [Ditto](https://hotfix.jobs/companies/ditto)
**Location:** Remote
**Role:** Product Management
**Salary:** $209k – $252k/yr
**Experience:** 7+ years
**Skills:** AWS, Azure, GCP, Kubernetes, Helm, Vpc, IAM, Cloud Infrastructure, Distributed Systems, Observability
**Posted:** 2026-06-11

> Own product strategy and roadmap for Ditto's SaaS, BYOC, and Self-Managed cloud deployment models. Engage enterprise customers and GTM teams on infrastructure, security, and operational requirements across AWS, Azure, and GCP.

## Job Description

## Responsibilities
- Own the product roadmap across Ditto's three deployment models (SaaS, BYOC, Self-Managed), ensuring a coherent and well-differentiated user journey for each
- Engage directly with enterprise customers to understand their infrastructure environments, deployment constraints, security requirements, and operational expectations, and translate those into clear product requirements
- Work closely with GTM and field teams to support active and prospective deployments, providing product-level guidance on deployment architecture, configuration, and tradeoffs
- Define and maintain the product backlog for cloud infrastructure and platform, prioritizing work that improves deployment experience, operational reliability, and customer self-sufficiency
- Develop deep expertise in customer deployment patterns across AWS, Azure, and GCP, including government and restricted cloud environments, and understand the operational requirements those environments impose
- Partner with engineering to deliver platform capabilities that reduce deployment friction, improve observability, and enable customers to run Ditto reliably at scale
- Collaborate with security, compliance, and enterprise sales teams to support customers operating in regulated or restricted environments
- Serve as the internal expert on deployment topology and cloud infrastructure, educating field teams and customers on Ditto's capabilities, limitations, and best practices across deployment models
- Define success metrics for deployment experience and operational health, and track progress against them
- Represent customer and field feedback internally to influence platform architecture and infrastructure priorities

## Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent experience, with strong grounding in cloud infrastructure, distributed systems, or enterprise software
- 7+ years of Product Management experience, with a focus on infrastructure, platform, or developer-facing products
- Hands-on experience owning or shipping products across SaaS, BYOC, and self-managed deployment models
- Direct experience with government or restricted cloud environments and the operational and security requirements associated with them
- Deep working knowledge of AWS; ability to reason about VPC design, IAM, compute, storage, and networking primitives in the context of customer deployments
- Technical fluency to engage credibly with infrastructure and platform engineers on architecture decisions, deployment tradeoffs, and operational requirements
- Experience working directly with enterprise customers and field teams on complex deployment engagements, including requirements gathering and solution framing
- Strong communication skills for presenting to both technical and executive audiences, and for translating between customer needs and engineering execution
- Experience with modern cloud infrastructure and containerized deployment environments
- US-based and authorized to work in the United States
- Willingness to travel once a quarter for company meetups and customer engagements

## Nice-to-Haves
- Working knowledge of Azure and/or GCP, including Azure Government or Google Public Sector environments
- Familiarity with compliance frameworks or certification processes relevant to regulated industries or government deployments
- Familiarity with Kubernetes and Helm
- Background in edge computing, IoT, or distributed systems where data residency and offline operation are first-class concerns
- Experience with observability tooling (metrics, logging, tracing) and helping customers instrument cloud-deployed services
- Prior experience at a startup scaling a platform product across enterprise deployment segments
- Experience working in remote, globally distributed teams

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