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 teambringing 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:
37 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 (612 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
Job Location:
Monthly Salary:
Posted on:
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