Associate Director of Product Management

Blend360 • Columbia, MD

63d

About The Position

We’re looking for an Associate Director of Product Management to own outcomes from problem discovery through delivery and iteration. You’ll partner with design, engineering, data, and ops to build internal agentic based products.

Requirements

• 3–7+ years in product management (or equivalent founder/PMM/consulting/eng background).
• Very familiar with technical concepts and trade-offs; you can go deep without losing the big picture.
• Proven track record shipping products end-to-end under tight timelines.
• Strong product sense, structured problem solving, and analytical rigor.
• Excellent written and verbal communication; ability to align diverse stakeholders.
• Experience with agile methods and experimentation (feature flags, A/B testing).

Nice To Haves

• Exposure to LLMs/ML systems, retrieval/RAG, evaluation frameworks, prompts/guardrails, and data pipelines.
• Understanding of privacy, security, compliance, and model risk management.
• Familiarity with metrics like hallucination rate, task success rate, latency, and cost per action.
• Domain experience in process engineering, bpo, and managed services.
• Experience in B2B2C or platform/ecosystem products.
• Background in design, engineering, data, or operations.

Responsibilities

• Write crisp specs: articulate requirements, acceptance criteria, and success metrics; ensure shared understanding across teams especially detail required for engineers developing agentic solutions so the focus on process and workflow and intended outcome is key.
• Drive discovery: run customer interviews, analyze data, map jobs-to-be-done, and validate problem-solution fit.
• Prioritize ruthlessly: create and maintain a clear backlog; use impact/effort, ROI, and risk to make trade-offs.
• Ship iteratively: lead agile rituals, remove blockers, and deliver high-quality increments on predictable cadences.
• Communicate clearly: craft narratives, demos, and updates for executives and stakeholders.
• Measure outcomes: instrument analytics, define KPIs/OKRs, and run experiments to improve activation, retention, and revenue.
• Partner cross-functionally: collaborate with design on UX, with engineering on architecture & feasibility, and with GTM on launches.
• Understand the product area: read the vision, strategy, and roadmap aligned to company goals and customer needs, ask questions and ingrain yourself of what its intended to do.
• Define data and model requirements, evaluation criteria, and guardrails for AI features.
• Partner with ML/AI engineers on experimentation, offline/online evals, and human-in-the-loop workflows.
• Balance accuracy, latency, cost, and safety; manage model/version lifecycle and tests.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees