Product Manager - Foundation Engineering

Addepar is a global data and AI platform that helps investment professionals turn complex financial information into actionable intelligence. The Product Manager will own and evolve the roadmap for observability and compute/network infrastructure within Foundation Engineering, driving reliability, security, developer experience, self-service, capacity, and cost outcomes.

Responsibilities:

• Own and evolve the product roadmap for the Observability and Compute/Network teams, spanning metrics/logging/tracing platforms, alerting and on-call tooling, SLO and error-budget frameworks, dashboards, compute provisioning, container orchestration, networking, service mesh, capacity planning, and infrastructure cost management
• Partner with engineering leads across Foundation Engineering to balance reliability and security risks, developer needs, capacity constraints, and cost, translating those tradeoffs into clearly scoped and sequenced investments
• Define and track outcomes across reliability, performance, developer experience, and cost—for example, SLO attainment, time to detect and restore service, self-service adoption, provisioning lead time, and infrastructure cost per unit—and use them to prioritize investment
• Drive the self-service agenda: make instrumentation, dashboards, and compute/network provisioning available through paved paths that are secure and policy-compliant by default, so teams get visibility and capacity without manual tickets or one-off configurations
• Partner with the Information Security and Risk (ISR) team to translate security requirements and risk findings into roadmap priorities, including secure defaults, access controls, auditability, and risk-based vulnerability remediation across observability and compute/network platforms
• Gather and synthesize feedback from engineering teams across the organization (via incident retrospectives, on-call surveys, and direct engagement) to identify visibility and infrastructure gaps and translate them into roadmap priorities
• Represent the Observability and Compute/Network teams' roadmaps to platform leadership, product stakeholders, and cross-functional partners; communicate tradeoffs, sequencing, and progress clearly
• Monitor industry trends in observability tooling (OpenTelemetry, Prometheus/Grafana, Datadog) and compute/network infrastructure (Kubernetes, service mesh, cloud networking, cost optimization) to inform build-vs-buy and roadmap decisions

Requirements:

• Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment
• Prior product management experience
• Demonstrated ability to define a product roadmap and deliver infrastructure capabilities, translating ambiguous reliability and capacity problems into scoped, prioritized work
• Working technical fluency in observability (metrics, logs, distributed tracing, SLOs/error budgets) or compute and networking (cloud compute, containers/Kubernetes, networking), with the ability to build fluency across both domains and make informed prioritization decisions with engineering partners
• Track record of managing product development for infrastructure or platform capabilities with multiple engineering stakeholders and competing priorities
• Strong communication and cross-functional collaboration skills — able to align engineering leads, platform leadership, and product engineering teams around a shared roadmap
• Ability to prioritize investments based on reliability, security, and cost. (e.g., MTTD/MTTR, SLO attainment, vulnerability remediation SLAs, infrastructure cost efficiency)
• Experience evaluating, delivering, or driving adoption of observability platforms (Sumo Logic, Wavefront, Sentry, or similar) or compute/network tooling (Kubernetes, Terraform, and cloud-provider networking or cost-management tools)
• Familiarity with SRE practices: SLOs, error budgets, incident management, and on-call process design
• Familiarity with financial services or other regulated-industry engineering environments
• Experience driving infrastructure adoption and self-service models across a large, distributed engineering organization
• Experience partnering with globally distributed engineering teams across time zones
• ideally owning infrastructure-facing products (observability, SRE tooling, cloud compute, or networking platforms)