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Tigera

Cloud-native network security & observability platform

Senior / Staff Product Manager - AI

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeVancouver, BC, Canada

About the Job

Requirements

  • At least 8 years of product management experience, including senior- or principal-level ownership of technical infrastructure or security products and a track record of taking products from vision to general availability and revenue.
  • Extensive knowledge of large language models, the Model Context Protocol, tool-calling, and AI infrastructure such as LLM Gateway, Inference Gateway, and the Agent2Agent protocol.
  • Expertise in Kubernetes and cloud-native networking and security, including network policy, microsegmentation, kernel-level enforcement with eBPF, zero-trust identity using OIDC and SPIFFE/SPIRE, and Layer 7 and service-mesh policy.
  • Ability to develop canonical product-positioning artifacts, including a concise description, problem and audience definition, category framing, differentiators, and explicit boundaries for what the product is not, and ensure messaging consistency across the organization.
  • Experience enabling sales, engaging senior technical and security buyers such as CISOs and platform and AI leaders at large enterprises, and driving partner co-selling.
  • Ability to pressure-test assumptions through customer interviews and prioritize work by revenue impact.
  • Ability to take clear ownership of product areas and partner across a larger product organization, while working in a structured, efficient, factually disciplined way and moving quickly from insights to decision-ready artifacts.

Responsibilities

  • Own key areas of the product vision and roadmap for Tigera’s flagship initiatives, including high-impact workstreams within Lynx’s kernel- and Layer 7-layer control, such as agent discovery, identity, authorization, runtime enforcement, or observability, and contribute to evolving Calico as the Layer 3/Layer 4 network and security layer for AI workloads and agents.
  • Develop competitive positioning for owned areas in the emerging AI agent security category, helping define Lynx’s narrative, and in the Kubernetes networking and security market, emphasizing Calico’s platform value for connecting and securing AI workloads.
  • Contribute to go-to-market work across sales-led motions, including sales enablement, platform pitches, and partnership with sales on qualified opportunities, and partner-led motions with identity, service-mesh, platform, and infrastructure ecosystem partners.
  • Conduct structured customer discovery and validation with enterprise accounts, including banks and Global 2000 security teams adopting Lynx, to test assumptions before committing engineering resources.
  • Coordinate cross-functional execution with engineering on scope and delivery and with marketing on messaging discipline and campaigns.
  • Create canonical positioning artifacts for owned product areas and help ensure consistent product descriptions across the organization, with customers, and in the market.

About the Company

Tigera

Cloud-native network security & observability platform

Tigera offers an open-core enterprise platform for secure application connectivity in cloud-native environments. Its Calico product line provides Kubernetes networking, security, and observability across major clouds and distributions, using a high-performance eBPF data plane plus Ingress and Egress Gateways to manage traffic and policy enforcement for both containers and traditional workloads. The company differentiates itself with deep open-source roots from Project Calico and by selling enterprise-grade features in Calico Enterprise and Calico Cloud, including full-stack observability and CNAPP-style security. Its goal is to help organizations securely connect, monitor, and protect cloud-native apps across multi-cloud and multi-cluster environments with scalable, policy-driven operations.

Company size
51-200
Company stage
Series B
Total funding
$53M
Headquarters
San Jose, CA
Founded
2016

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