Lead Product Manager

Doma; New York (NY); Presencial; USD 140.000 - 200.000; Jornada completa

Descripción de la vacante

Doma in New York seeks a Lead Product Manager to guide the refinance title decisioning platform and drive growth through automation and AI-driven improvements. You will own the strategy, roadmap, and cross-functional execution with engineering, data science, operations, sales, and marketing to deliver measurable outcomes.

Translate strategy into concrete requirements, manage multiple workstreams, and monitor performance with dashboards.

Formación

• 6+ years of relevant product management experience leading cross-functional initiatives for B2B, platform, data, or AI/ML-enabled products.
• Ability to drive alignment across diverse stakeholders and leadership.
• Prior focus on enterprise workflow automation or AI products that meet business goals.
• Business acumen with data-driven and judgment-driven decision-making for high-ROI roadmaps.
• Nice to have domain knowledge in title/escrow or regulated financial services.
• Outstanding written and verbal communication, including translating tech requirements for leadership.
• Creative thinker, able to identify differentiated, user-delightful solutions.
• Strong execution, with ability to provide engineering/context for goals and acceptance criteria.
• Autonomy to work in ambiguity and turn it into clarity.
• Fluency with APIs, data pipelines, and ML lifecycle evaluation.

Responsabilidades

• Own day-to-day product execution and the roadmap for the refinance title decisioning platform.
• Define the customer, value, and measurable results before designing solutions.
• Translate strategy into clear requirements, user stories, and acceptance criteria.
• Prioritize roadmaps across teams and trade-offs against OKRs and capacity.
• Partner with engineering, data science, and platform teams throughout the lifecycle.
• Use analytics and feedback to improve automation and AI capabilities.
• Define and track product and operational metrics against OKRs.
• Create dashboards and reporting to improve transparency and accountability.
• Serve as product point of contact for internal teams and external partners.
• Contribute to continuous improvement of products, systems, and processes.

Conocimientos

Cross-functional collaboration

Impact-focused product delivery

Data-driven decision making

Strategic roadmapping

Stakeholder management

Communication skills

Creativity and design thinking

Autonomy

Technical fluency

Descripción del empleo

• Doma is seeking a Lead Product Manager as we build the technology that makes real estate closings faster, smarter, and more certain
• This individual will be tasked with growing Doma’s revenue and operating leverage by building customer experience and automation solutions to reduce the friction of several steps in the closing process
• As a Lead Product Manager, you will help drive strategy across several growth focused metrics, feature development and prioritization of the product roadmap, and alignment across engineering, data science, operations, sales, and marketing and other partners
• You will focus on a durable capability area (intelligent title search) as well as discrete business outcomes related to that area (continued development of the refinance model linked to company OKRs)
• In this role you will play a key role in problem-solving across functions, and in shaping the vision, values, and culture of Doma’s Product Team
• Product Execution & Delivery:
• Own day to day product execution and the roadmap for our only-of-its kind refinance title decisioning platform
• Start with the outcome: define the customer, the value, and the measurable result for each initiative before designing the solution
• Translate product strategy into clear requirements, user stories, and acceptance criteria
• Manage and prioritize roadmap deliverables and milestones across multiple workstreams and teams, making clear trade-offs against company OKRs and capacity
• Partner closely with engineering, data science, and platform through the entire life cycle to deliver scalable, high-quality solutions
• Use domain expertise, reporting and analytics, and customer feedback to improve how our automation and AI capabilities perform
• Metrics, Monitoring & Product Health:
• Define and track key product and operational metrics, and own the results against company OKRs
• Own the health of your capability area, including accuracy, cost, service levels, and reuse across products
• Monitor trends and proactively identify risks, anomalies, or performance issues
• Partner with engineering and operations to investigate issues and drive resolution
• Create dashboards and reporting that improve transparency and accountability
• Partner & Stakeholder Management:
• Act as the product point of contact for internal teams and external partners
• Bring a point of view to roadmap reviews and leadership: come with a recommendation, communicate what matters, and use debate to sharpen the thinking
• Partner with business development teams in support of new customer onboarding and implementation, as well as monitor the ongoing detection of pain points and opportunities that can be addressed by our products
• Make sure dependencies are well understood and documented
• Workflow & Continuous Improvement:
• Collaborate across functions to identify pain points and opportunities for automation, efficiency, and error reduction
• Establish feedback loops to continuously improve our products, systems, and processes

Benefits

• We fully support the career development of our team and provide access to development opportunities at all levels
• We offer multiple coverage options so you can find the right fit for your health care, vision, dental, 401K, life insurance, and AD&D plans
• We offer generous paid time off and family leave, as well as flexible working options for many roles

• Experience: 6+ years of relevant product management experience, including leading cross-functional initiatives for B2B, platform, data, or AI/ML-enabled products
• Collaboration: Ability to drive successful alignment across different internal and external stakeholders and leadership
• Impact: A prior focus on delivering impactful enterprise workflow, automation, and/or machine-learning or AI products that positively benefit key customer and business goals
• Strategy: Business acumen and a strong data-driven and judgment-driven decision-making skillset. The ability to convert this into a high-ROI roadmap and to make and explain trade-offs between competing priorities
• Domain (Extra Credit): Experience in title, escrow, mortgage, real estate, or another regulated financial-services workflow, or a demonstrated ability to learn a complex, regulated domain quickly
• Communication: Outstanding written and verbal communication skills with an emphasis on communicating technical requirements and solutions to internal and external audiences, including bringing clear recommendations to senior leaders
• Creativity and Design Thinking: Fearlessly innovative in undeveloped space, with independent identification of differentiated, powerful, and user delightful solutions
• Execution: Strong executional abilities to help engineering, data science and others have the necessary context, understanding of goals, and clarity of acceptance criteria. Being able to identify risks proactively and problem-solve to mitigate them
• Autonomy: The ability to work autonomously and constantly being able to convert ambiguity into clarity
• Technical Fluency: Comfort with APIs, data pipelines, and the machine-learning lifecycle (training data, evaluation, monitoring, and retraining), and the ability to evaluate data quality, accuracy, and cost with engineering and data science partners