Senior Director, Product Management

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.  The actionable insights we deliver safeguard lives and protect critical assets around the world.  Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www.babelstreet.com. 

Role Summary

The Senior Director, Product Management will lead the development and execution of Babel Street’s next-generation, AI-native product ecosystem spanning risk intelligence, identity, OSINT, and data. This is a high-impact leadership role for a product builder with a proven track record of creating category-defining products, operating with urgency, and driving rapid iteration at scale. Reporting directly to the President and Chief AI Officer, this leader sits at the intersection of engineering, data, AI/ML, and customer operations—responsible for defining product vision, translating real-world intelligence workflows into scalable solution offerings, and driving execution across the full product lifecycle.

This role spans three integrated domains:

• Product Roadmap & AI-Native Architecture: You will define an AI-native product roadmap that guides platform architecture, data unification efforts, and engineering investment. This includes shaping a forward-looking product vision that integrates LLMs, agents, multimodal models, retrieval systems, and advanced evaluation frameworks. Your roadmap direction will directly inform engineering pathways, platform modernization priorities, and cloud-to-edge enablement.
• Product Architecture, Experience & Requirements: You will design modern, intuitive, AI-first user experiences and define technically credible, deeply detailed requirements that enable Engineering to deliver with speed and predictability. You will partner with Engineering and AI/ML teams to shape the AI architecture and LLMOps infrastructure required for agentic and generative AI product capabilities. You will ensure product designs support cloud-native and future edge-deployable solutions, addressing mobile device constraints, offline workflows, and real-world mission environments. Your work will bring clarity and structure to complex problems while ensuring usability, performance, and scalability.
• Product Analytics, Instrumentation & Outcomes: You will define—and work with Engineering to operationalize—a robust product instrumentation plan spanning behavioral telemetry, user intent mapping, AI evaluation metrics, churn indicators, and value realization. You will develop a data-driven operating rhythm that connects user behavior to design decisions, roadmap prioritization, and customer outcomes. This includes shaping the analytics and telemetry required to monitor feature performance and cost efficiency. You will ensure every product is measurable, explainable, and continuously improving.

Across all domains, you will build and lead a high-performing product organization defined by ownership, urgency, clarity, and close partnership with Sales to ensure the voice of the customer is embedded in product roadmap and execution. You will work in lockstep with Engineering to operate as a unified, outcome-driven system. You will define product roadmaps that prioritize platform investments, enterprise-grade data roadmap, breakthrough AI capabilities, and edge deployment readiness. You will bring measurable impact through disciplined execution, prioritization clarity, technical depth, and a relentless focus on building mission-grade products at scale.

This role will be based in our Reston, VA or Somerville, MA office.

KEY RESPONSIBILITIES

1. Product Roadmap & AI-Native Architecture

• Define and own the product roadmap for Babel Street’s AI-native product ecosystem, spanning risk intelligence, identity, OSINT, and data-centric workflows.
• Shape a forward-looking product vision that integrates LLMs, agents, multimodal models, retrieval systems, and advanced evaluation pipelines.
• Translate market dynamics, competitive trends, and customer insights into clear product priorities that shape Engineering and AI/ML investments.
• Partner closely with Engineering to guide platform architecture, modularization, shared services, and cloud-native modernization efforts.
• Identify and validate new product categories, revenue opportunities, mission use cases, and differentiating capabilities enabled by emerging AI technologies.

2. Product Architecture, Experience & Requirements

• Design modern, intuitive, AI-first user experiences, defining workflows, interaction patterns, and UX/UI standards that incorporate agentic interactions, structured outputs, and explainability.
• Produce clear, technically credible product requirements (PRDs, specs, workflows, acceptance criteria) that enable Engineering to deliver with speed, predictability, and correctness.
• Partner with Engineering and AI/ML teams to shape AI architecture and LLMOps requirements, including evaluation criteria, prompt engineering, model selection patterns, and agent workflow design.
• Ensure product designs align with cloud-native architecture, microservices/API-first paradigms, and platform extensibility.
• Validate product designs through continuous discovery cycles, prototyping, user testing, simulation environments, and field engagements.

3. Product Analytics, Instrumentation & Outcomes

• Define a comprehensive product instrumentation methodology covering behavioral telemetry, feature usage, user intent, activation, retention, and value realization.
• Partner with Engineering to operationalize telemetry collection, real-time dashboards, product analytics pipelines, and outcome measurement tools.
• Establish a data-driven product operating rhythm that ties user behavior to prioritization, design decisions, and roadmap evolution.
• Define and monitor key product KPIs, including adoption, retention, engagement, activation, satisfaction, churn signals, and revenue contribution.

4. Organizational Leadership & Culture

• Build and mentor a high-performing product organization defined by ownership, urgency, clarity, and deep customer empathy.
• Develop Product Managers through coaching, structured career paths, and intentional skill-building in AI-native product development.
• Establish non-bureaucratic, high-velocity operating rhythms—roadmaps, checkpoints, product reviews, and cross-functional syncs—that enable predictable delivery without ceremony.
• Foster a culture of experimentation, data-driven decisions, transparency, and tight alignment with Engineering, Data, AI/ML, and GTM.
• Champion product excellence across the company, ensuring quality, usability, and mission impact remain central to every product decision.

Qualifications:

• 5+ years of experience in identity, OSINT, data collection, or related risk intelligence fields
• 10 to 15+ years of Product Management experience, including leadership roles
• Demonstrated success building and growing AI-powered or data-intensive products Deep understanding of UX/UI principles and ability to guide modern, intuitive product experiences
• Fluency in modern AI concepts (LLMs, agents, multimodal models) and how to apply them in product
• Experience defining instrumentation, analytics frameworks, and feedback loops to drive product decisions
• Proven ability to lead rapid development with small, empowered teams while avoiding process-heavy environments
• Strong background in conducting detailed assessments and turning insights into action
• Proven experience working within Agile software development environments
• Technical acumen and ability to collaborate with engineering and data science teams
• Prior experience as a Software Engineer or in a technical role is highly preferred
• Exceptional communication, collaboration, and stakeholder management skills
• Passion for solving complex real-world problems with scalable product solutions

Education:

Bachelor’s degree in Information Systems, Human-Computer Interaction, Computer Science, Engineering, Psychology, or a related field; or equivalent practical experience in product management. A Master’s degree (MBA or relevant technical field) is preferred but not required.

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.