Technical Product Manager (AI/ Agentic systems) at Black Duck

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