Babel Street, Inc.
Senior Director, Product Management Reston, VA, United States
Babel Street, Inc., Reston, Virginia, United States, 22090
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.
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.
Domain Focus
Product Roadmap & AI‑Native Architecture : Define an AI-native product roadmap that guides platform architecture, data unification efforts, and engineering investment. Shape a forward-looking product vision that integrates LLMs, agents, multimodal models, retrieval systems, and advanced evaluation frameworks.
Product Architecture, Experience & Requirements : Design modern, intuitive, AI-first user experiences and define technically credible, deeply detailed requirements that enable Engineering to deliver with speed and predictability.
Product Analytics, Instrumentation & Outcomes : 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.
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.
This role will be based in our Reston, VA or Somerville, MA office.
Key Responsibilities
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.
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.
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.
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
Health Benefits: Coverage of 85‑100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances for employee and family
Retirement Plans: Traditional and Roth 401(K) with competitive match
Unlimited Flexible Leave: Trust employees to manage their own time and balance personal and work life
Holidays: 12 paid Federal Holidays
Tuition Reimbursement: Program for continuing education
Equal Opportunity Employer 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. Babel Street will not discriminate against applicants for inquiring about or discussing or disclosing their pay; Pay Transparency and Non-Discrimination are observed.
In addition, Babel Street provides 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, more information about accommodations can be provided.
Range for this position based on qualifications and experience: $190,000 - $230,000 USD.
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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.
Domain Focus
Product Roadmap & AI‑Native Architecture : Define an AI-native product roadmap that guides platform architecture, data unification efforts, and engineering investment. Shape a forward-looking product vision that integrates LLMs, agents, multimodal models, retrieval systems, and advanced evaluation frameworks.
Product Architecture, Experience & Requirements : Design modern, intuitive, AI-first user experiences and define technically credible, deeply detailed requirements that enable Engineering to deliver with speed and predictability.
Product Analytics, Instrumentation & Outcomes : 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.
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.
This role will be based in our Reston, VA or Somerville, MA office.
Key Responsibilities
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.
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.
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.
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
Health Benefits: Coverage of 85‑100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances for employee and family
Retirement Plans: Traditional and Roth 401(K) with competitive match
Unlimited Flexible Leave: Trust employees to manage their own time and balance personal and work life
Holidays: 12 paid Federal Holidays
Tuition Reimbursement: Program for continuing education
Equal Opportunity Employer 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. Babel Street will not discriminate against applicants for inquiring about or discussing or disclosing their pay; Pay Transparency and Non-Discrimination are observed.
In addition, Babel Street provides 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, more information about accommodations can be provided.
Range for this position based on qualifications and experience: $190,000 - $230,000 USD.
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