Technical Product Manager - AI / Agentic Systems (Polaris) Role Overview: We are looking for a Technical Product Manager (TPM) to help scale and operationalize AI- and agent-enabled capabilities within Polaris, our flagship application security platform. This individual will serve as a force multiplier for the broader PM team-bringing strong technical depth in AI/agentic systems, while supporting senior PMs in shaping, validating, and shipping differentiated capabilities. The goal is to elevate our AI maturity across the team and accelerate delivery of high-impact, AI-native workflows. Key Responsibilities: 1) Drive AI / Agentic Product Capabilities • Shape and prioritize AI-native features, including: • Agent-based workflows (multi-agent orchestration, task decomposition) • AI-assisted triage, remediation, and developer guidance • LLM-powered analysis, summarization, and reasoning • Partner with engineering to translate emerging AI concepts into production-ready product features • Evaluate build vs. buy decisions across models, tools, and platforms 2) Act as the AI "Center of Gravity" for the PM Team • Support other Polaris PMs in: • Framing AI opportunities in their domains (SAST, SCA, Dynamic, ASPM) • Converting customer problems into AI-enabled workflows • Define repeatable patterns and best practices for AI features across the platform • Help establish internal standards for: • Prompting strategies • Evaluation frameworks • Agent design patterns 3) Bridge Product, Engineering, and Applied AI • Work deeply with R&D on: • LLM integrations, APIs, and performance characteristics • Agent orchestration and workflow design • Data pipelines and context enrichment (code, repos, findings) • Ensure AI features align with real developer workflows (IDE, CI/CD, PR flows) 4) Accelerate Prototyping and Customer Validation • Rapidly prototype concepts (with engineers or independently via AI tools) • Partner with design, sales, and customers to: • Validate workflows early • Iterate quickly using real-world feedback • Shorten cycle time from idea 12 prototype 12 validated feature 5) Contribute to AI Strategy and Positioning • Help define how Polaris differentiates in an AI-first AppSec market • Inform roadmap decisions based on: • Customer demand • Competitive movements • Emerging AI capabilities • Support GTM teams with clear articulation of AI-driven value Required Qualifications: • 3-7+ years in Product Management, Technical PM, or related role • Strong understanding of AI / LLM systems, including: • Prompting and evaluation concepts • Agentic workflows (multi-step reasoning, tool use, orchestration) • Proven ability to work closely with engineering on technical product design • Familiarity with modern software development practices: • CI/CD, Git workflows, APIs, developer tooling • Ability to decompose ambiguous problems into structured product requirements Preferred (Nice to Have) • Experience with: • Application Security (SAST, SCA, DAST, ASPM) • Developer tools / DevOps ecosystems • Hands-on experience with: • AI prototyping tools (e.g., LangChain, Semantic Kernel, etc.) • Running experiments or evaluating AI systems • Background as an engineer, data scientist, or highly technical PM What Success Looks Like (6-12 Months) • AI capabilities are: • More consistent, reusable, and scalable across Polaris • PM team operates with: • Stronger shared understanding of AI opportunities and constraints • New features demonstrate: • Measurable improvements in developer productivity or risk reduction • Polaris establishes a clear point of view on: • Agentic AppSec workflows vs. traditional scanning approaches Why This Role Matters for Polaris • Polaris is evolving toward AI-first AppSec, including: • Multi-agent analysis workflows • AI-assisted triage Pay Range $119,100-$178,700 USD