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 → prototype → 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
