Technical Product Manager (AI/ Agentic systems)

Posted 8 Days Ago
Burlington, MA, USA
In-Office
119K-179K Annually
Mid level
On-Demand • Security • Software
The Role
Own and scale AI- and agent-enabled features for an application security platform. Shape agent-based workflows, LLM integrations, and AI-assisted triage; partner with engineering to build production-ready features; support PMs with AI best practices, prompting, and evaluation; prototype rapidly and validate with customers to accelerate delivery and drive measurable developer productivity and risk reduction.
Summary Generated by Built In

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 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
Pay Range
$119,100$178,700 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.

Skills Required

  • 3-7+ years in Product Management, Technical PM, or related role
  • Strong understanding of AI / LLM systems, including prompting and evaluation concepts
  • Experience with agentic workflows (multi-step reasoning, tool use, orchestration)
  • Proven ability to work closely with engineering on technical product design
  • Familiarity with CI/CD, Git workflows, APIs, and developer tooling
  • Ability to decompose ambiguous problems into structured product requirements
  • Experience with application security (SAST, SCA, DAST, ASPM)
  • Experience in developer tools / DevOps ecosystems
  • Hands-on experience with AI prototyping tools (e.g., LangChain, Semantic Kernel)
  • Experience running experiments or evaluating AI systems
  • Background as an engineer, data scientist, or highly technical PM

Black Duck Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Black Duck and has not been reviewed or approved by Black Duck.

  • Healthcare Strength Medical, dental, and vision coverage provide multiple plan choices with transparent costs, with carrier updates noted for 2026. Vision via VSP and dental plan options offer defined tiers and network access.
  • Retirement Support Retirement programs include a 401(k) with company matching alongside an employee stock purchase plan with a discount and lookback. These features support longer‑term savings and wealth building.
  • Leave & Time Off Breadth Exempt employees use a manager‑approved, no‑cap time‑off model, while non‑exempt employees accrue flexible time off alongside sick time. Paid leaves include parental and family care leave, with additional protections under applicable leave laws.

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The Company
HQ: Burlington, MA
275 Employees
Year Founded: 2002

What We Do

Organizations worldwide use Black Duck Software’s industry-leading products to secure and manage open source software, eliminating the pain related to security vulnerabilities, compliance and operational risk. Black Duck is headquartered in Burlington, MA, and has offices in San Jose, London, Frankfurt, Hong Kong, Tokyo, Vancouver, Seoul & Beijing

Why Work With Us

We pride ourselves on cultivating an environment of collaboration, creativity, and fun! We know where you work can influence how you work, which is why our collaborative office space focuses on community and continuous learning. Our work-hard, play-hard attitude even got us named a Top Place to Work in Massachusetts by The Boston Globe!

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