New

Senior Director of Product

Full-time

Remote

Deadline

January 8, 2026

About the organization

ndwa-2021-logo-square-e1622778788269

National Domestic Workers Alliance

Organization type

Social Impact Organization

In A Nutshell

Location

Remote Anywhere in USA

Salary

$145,000

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

January 8, 2026

Guide products from concept through launch and ongoing iteration, build the internal product function, and help NDWA understand and respond to emerging technology trends — including AI — shaping the care economy.

Responsibilities

Build a Movement-Centered Product Culture

  • Champion a user-centered, experimental, and worker-driven product approach across NDWA.
  • Shape the long-term product vision for NDWA’s digital initiatives, worker tools, and supporter-facing products.
  • Develop intermediate and long-term plans for experimentation, learning, iteration, and continuous improvement.
  • Apply an intersectional IDEAS lens to product decisions, ensuring that domestic workers — especially immigrant women and women of color — are centered in product research, testing, and experience design.

Technical Leadership & Architecture

  • Own the technical vision and architecture strategy for NDWA’s digital products.
  • Conduct regular code reviews and provide technical mentorship to engineering contractors (and eventually team).
  • Write code regularly to maintain technical credibility and contribute to critical features, and add capacity to the team.
  • Lead technical due diligence when evaluating vendors, contractors, and technical partner,s including technical interviews and code quality assessments.

Lead Product Strategy, Systems & Protocols

  • Own product lifecycle strategy — from discovery and hypothesis setting to development, testing, launch, and iteration.
  • Define and manage the product roadmap, prioritizing the highest-impact opportunities.
  • Create and maintain systems for product planning, agile workflows, documentation, QA, and cross-team communication.
  • Establish NDWA’s standards for experimentation, success metrics, usability, technical quality, and organizational alignment.
  • Ensure seamless coordination across staff, contractors, and development partners.

Product Quality, Governance & Best Practices

  • Ensure NDWA’s products are stable, secure, accessible, and well-structured for scalability.
  • Develop governance practices for product decision-making, risk mitigation, and data/privacy compliance in collaboration with Data and Legal.
  • Oversee reporting, dashboards, and systems that track product performance and user outcomes.
  • Document key systems, processes, and architectural decisions to support institutional knowledge and the long-term sustainability of the product function.
  • Make informed decisions about technical debt, prioritization, and system scalability based on hands-on technical assessment.

Strengthen NDWA’s Product & Technology Stack

  • Oversee design and development of the Membership Center and Ask Aya through final build, testing, launch, and iteration phases.
  • Partner closely with engineering, AI specialists, and external vendors to ensure efficient and high-quality execution.
  • Evaluate and refine NDWA’s product and technology infrastructure, including architecture, integrations, and tech stack choices.
  • Identify areas for innovation — particularly AI — that advance worker power, protections, or access to information.

Team Leadership

  • Manage and develop a growing number of direct reports on the product team as well as the broader cross-functional team that touches the Membership Center and Ask Aya products, with responsibility for coaching, performance, recruitment, and talent development.
  • Establish clear systems for coordination, communication, workflows, and accountability.
  • Collaborate across teams to build shared understanding of product strategy and translate organizational needs into actionable product plans.
  • Lead the handoff and transition planning with current leadership to ensure continuity of knowledge and systems.
  • Mentor engineers of product thinking and while building the technical fluency of the product teams.

Skillset

  • 8+ years of product and engineering experience, including at least 3-5 years in hands-on engineering roles and 3+ years leading product strategy. Must demonstrate progression from engineering to product leadership while maintaining technical fluency.
  • Experience managing cross-functional teams and collaborating with engineering, design, content, organizing, and/or data teams.
  • Strong strategic thinking combined with tactical execution — someone who balances long-term vision with day-to-day decision-making.
  • Excellence in synthesizing insights, prioritizing ruthlessly, and designing experiments rooted in learning goals.
  • Highly organized and operationally rigorous, with systems to prevent things from slipping through the cracks.
  • A “head, heart, hands” leader: data-informed and analytical; empathetic, inclusive, and self-aware; courageous and action-oriented.
  • Skilled relationship builder who practices “power with,” uses FAIR process, and contributes to a leadership culture centered on equity.
  • Ability to communicate clearly with technical and non-technical audiences.
  • Continuous learner with curiosity about emerging technologies (including AI) and their impact on workers.
  • Proven track record of leveraging AI coding assistants and automation tools to increase personal productivity and team velocity over the past 2+ years.
  • Commitment to economic, racial, and gender justice and experience working with diverse staff and worker communities.
  • Proficiency in modern web development (JavaScript/TypeScript, React, Node.js, or similar).
  • Experience with APIs, database design, and system architecture.
  • Demonstrated use of AI coding assistants (Copilor, Cursor, Claude etc).
  • Ability to write technical documentation, review code and debug issues independently.
  • Understanding of cloud infrastructure (AWS), DevOps, and scalability considerations.
  • Product management tools and workflows (agile, roadmapping, experimentation frameworks).
  • Experience working with or managing engineering teams or contractors (preference for an engineering background, but not essential for the right candidate).
  • UX/UI design familiarity — enough to guide design and assess usability.
  • Understanding of data-informed product development and experiment design.
  • Experience with AI tools, ethical considerations, or applied AI product development is a strong plus.
  • Ability to quickly learn technical systems, evaluate architecture choices, and troubleshoot issues in partnership with developers.

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