Director, Product Management — Infrastructure Automation

Perforce

1d•$200,000 - $220,000

About The Position

Perforce is seeking a Director / Senior Director of Product Management to lead product management for its infrastructure automation business. Reporting to the VP Product, this leader will build a growth engine for infrastructure automation in the AI era and bring compliance and controls to infrastructure. The role owns the platform’s product vision, strategy, and roadmap across its full lifecycle and leads a team of 5–6 senior product managers. It partners closely with Engineering, Customer Success, Sales, Marketing, and the broader Perforce portfolio to drive adoption, retention, and growth. The product is Perforce’s desired-state automation platform. It helps teams manage infrastructure across data centers and cloud environments by automating repetitive tasks and configuration to prevent drift and reduce manual effort. Customers can define custom policies, enforce them continuously, and automate audit reporting. More than 40,000 organizations rely on the platform to keep their systems in a desired state. Product management at Perforce uses an AI-enabled operating model. The role includes leading the team in this model and advancing AI-powered product capabilities while maintaining clear human ownership and accountability for product work. The position is eligible for benefits including medical, dental, vision, retirement benefits, life insurance, wellness programs, total time off, and other employee perks that may be offered by Perforce.

Requirements

Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
8+ years of product management experience, including at least 3 years in a leadership role in the DevOps, cloud, or software development space.
Proven track record delivering complex enterprise software solutions from concept to launch.
Extensive experience managing and growing product teams and leading and motivating cross-functional teams.
Strong background in Agile development methodologies, including Scrum and Kanban, and close collaboration with engineering teams.
Exceptional strategic thinking, problem-solving, and decision-making capabilities.
Strong technical acumen and ability to collaborate with engineering teams on architectural and technical discussions.
Deep understanding of DevOps practices, including configuration management, infrastructure as code (IaC), continuous integration and delivery, and containerization such as Kubernetes and Docker.
Excellent communication skills and ability to explain complex technical concepts to technical and non-technical stakeholders.
Expertise with product lifecycle management tools such as Jira, Confluence, and Aha!.
Strong customer-centric mindset and ability to understand market needs and translate them into actionable product solutions.
Demonstrated experience defining and shipping AI-powered product capabilities, such as generative AI or agentic automation, including evaluating, governing, and measuring them in production.
Experience leading product managers in an AI-enabled product management operating model that uses AI across discovery, specification, and delivery, with a named human owner accountable for the quality of every artifact.
All employees are expected to demonstrate AI fluency appropriate to their role and level, including responsible use of AI tools, sound judgment, and adherence to company AI governance and security policy standards.

Nice To Haves

Experience with Puppet, Ansible, Chef, Terraform, or similar infrastructure automation platforms.
Experience with open-source business models and on-premise and hybrid enterprise deployments.
Experience selling to or building for compliance- and security-driven buyers.
Experience bringing AI into infrastructure operations, such as AI-assisted authoring, remediation, or compliance, and a point of view on how AI changes an automation product’s responsibilities.
Familiarity with AI product risks, including accuracy and evaluation, guardrails and human approval, data privacy, and customer trust in on-premise and regulated environments.
Experience building or adopting an AI product management operating model with defined agent roles, evidence standards, review gates, and measures of team learning speed and quality.
Proven leadership presence and ability to influence and engage at all levels of the organization.
Highly collaborative, with a strong sense of ownership and accountability.
Passion for DevOps, automation, and delivering high-value products that solve real-world customer problems.

Responsibilities

Define and own the platform’s product vision, strategy, and multi-year roadmap, aligned with Perforce portfolio direction and business goals.
Identify and prioritize investments in the core business and new opportunities, including opportunities for AI to change the platform’s role in customers’ infrastructure operations.
Establish outcomes and success metrics for major initiatives and hold the team accountable to measurable customer and business results.
Lead, coach, and develop a team of 5–6 senior product managers, establishing clear ownership and high standards for quality.
Build a culture of discovery, evidence-based decision making, and clear communication, including early escalation of risks and bad news.
Hire and retain product talent and add specialist skills when needed.
Oversee product development from discovery through launch and post-release outcome review, partnering with Engineering to deliver commitments.
Validate customer problems before significant build investment and ensure features include instrumentation to measure impact, including in on-premise deployments.
Drive cross-functional alignment on release planning, packaging, pricing, and go-to-market readiness.
Engage with customers, partners, and the open source and DevOps community to understand needs and validate product direction.
Partner with Sales, Customer Success, and Support to convert customer input into roadmap decisions and help customers realize the business value they purchased.
Track competitors and analyst perspectives and shape the product’s market positioning and differentiation.
Evaluate emerging technologies and trends in infrastructure automation, security, compliance, and AI-assisted operations.
Represent the product as a thought leader at industry events and with customers and analysts.
Identify partnership, ecosystem, and build-versus-buy opportunities to strengthen the product’s long-term position.