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Technical Product Manager (AI Agentic systems)

Black Duck Software

Job Location:

Burlington, CO - USA

Monthly Salary: $ 119100 - 178700

Posted: 6 June 2026 (30+ days ago)

Application Deadline: 3 September 2026

Vacancies: 1 Vacancy

Job Summary

Black Duck Software Inc. helps organizations build secure high-quality software minimizing risks while maximizing speed and productivity. Black Duck a recognized pioneer in application security provides SAST SCA and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code open source components and application behavior. With a combination of industry-leading tools services and expertise only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

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

Pay Range

$119100 - $178700 USD

Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race color national origin religion sex gender identity or expression age disability sexual orientation veteran or military service status or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.

Required Experience:

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About Company

Black Duck Software

Build high-quality, secure software with application security testing tools and services from Black Duck. We are a Gartner Magic Quadrant Leader in AppSec.

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