Senior Product Manager - Automation Platform

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Product Manager – Automation Platform based in the United States. In this role, you will shape the strategy and evolution of an enterprise automation platform that enables organizations to execute, govern, and scale complex infrastructure operations. You will own a portfolio of technical products spanning automation execution, configuration management, inventory, and integrations. Working closely with engineering teams and Fortune 500 customers, you will translate complex technical challenges into impactful product solutions. You will drive roadmap decisions, product packaging, and investment priorities across on-premises, hybrid, and cloud environments. You will also collaborate on AI-driven capabilities that solve real-world customer problems and improve automation workflows. This is an opportunity to combine technical expertise, customer engagement, and strategic product leadership in a collaborative, innovation-focused environment.

Own product strategy and roadmap: Define the vision, strategy, and priorities for a portfolio of automation platform capabilities, balancing customer needs, business impact, technical constraints, and engineering investment. Drive product development and delivery: Partner closely with engineering leadership and development teams to guide initiatives from discovery and requirements definition through implementation, release, and continuous improvement. Translate technical challenges into solutions: Turn ambiguous customer needs and complex technical questions into clear product decisions, actionable requirements, and measurable outcomes. Engage with enterprise customers: Work directly with large enterprise organizations, including customers in regulated industries, to understand their environments, evaluate feature requests, resolve escalations, and identify opportunities for improvement. Manage product packaging and positioning: Define packaging, pricing structures, and tiering strategies across on-premises and cloud-based offerings to support customer needs and business objectives. Advance AI-driven innovation: Collaborate with AI-focused teams to develop practical, customer-centered capabilities, including agent-based automation and automated resolution of configuration compliance issues. Collaborate across functions: Align priorities with other Product Managers and communicate product strategy, roadmap decisions, and their rationale to Sales, Customer Success, Professional Services, and Support teams. Support strategic investment decisions: Develop data-driven business cases and product investment proposals as part of operational planning, using customer insights, market opportunities, and technical considerations. Leverage modern product tools: Use AI-powered tools, analytics, and product management platforms to support research, analysis, requirements development, and prototyping while validating outputs for accuracy and relevance. Requirements Product management experience: At least 7 years of product management experience, primarily in B2B SaaS, infrastructure, developer tools, or other complex technical product environments. End-to-end product ownership: Demonstrated experience leading technical products from strategy and discovery through delivery, with concrete examples of product decisions and their business or customer outcomes. Technical knowledge: Working understanding of APIs, authentication mechanisms, including OAuth, certificates, and mutual TLS (mTLS), as well as versioning and integration concepts. Enterprise customer management: Experience working directly with large enterprise customers, managing escalations, navigating competing priorities, and translating customer feedback into product improvements. Commercial and business acumen: Experience making pricing, packaging, or product tiering decisions, with the ability to balance customer value and business objectives. Communication and analytical skills: Strong written communication and problem-solving abilities, including the capacity to translate complex technical topics into clear, actionable requirements for engineering teams. Adaptability and learning mindset: Demonstrated curiosity and the ability to quickly understand unfamiliar technical domains and become an effective partner to engineering and customer-facing teams. AI proficiency: Familiarity with AI tools such as Claude for research, analysis, requirements development, and prototyping, combined with sound judgment in validating, correcting, and refining AI-generated outputs. Preferred qualifications: Hands-on experience with Python, Ansible, Terraform, or OpenTofu. Experience managing products deployed in on-premises, hybrid, or cloud environments. Familiarity with network automation, configuration management, or compliance solutions. Experience launching AI-powered or agent-based product capabilities. Previous experience in network automation is an advantage. Candidates with experience in other complex technical domains are also encouraged to apply if they can demonstrate how they developed the expertise needed to collaborate effectively with technical teams. Work environment and physical requirements: Ability to work remotely from within the United States during standard business hours, with flexibility to collaborate across teams and time zones. Comfort working extensively on a computer, participating in virtual meetings, communicating with customers and stakeholders, and producing product documentation. Ability to work effectively in a typical home-office or professional office environment with frequent meetings and calls. Willingness to undertake occasional, limited travel for company offsites, customer visits, or industry conferences. Ability to meet the essential functions of the role, with reasonable accommodations available for qualified individuals with disabilities. Benefits Employment type: Full-time position. Work arrangement: Remote opportunity within the United States. Schedule flexibility: Standard business hours with flexibility to support cross-functional collaboration. Travel: Minimal travel, primarily for occasional offsites, customer visits, or conferences. Technology and tools: Access to modern product management and collaboration tools, including AI assistants, Jira, Confluence, analytics platforms, APIs, and developer tooling. Inclusive workplace: Commitment to equal employment opportunities and reasonable accommodations throughout the application, interview, and employment process.