
Lead Product Manager
Posted 23 hours ago

Posted 23 hours ago
This is a fully remote position, open to applicants in United States.
• Take ownership of daily product execution and the roadmap for Doma’s refinance title decisioning platform.
• Identify customers, value propositions, and measurable outcomes for various initiatives.
• Convert product strategy into detailed requirements, user stories, and acceptance criteria.
• Manage and prioritize deliverables and milestones on the roadmap across multiple workstreams and teams in alignment with company OKRs and capacity.
• Collaborate with engineering, data science, and platform teams throughout the product lifecycle.
• Leverage domain expertise, reporting, analytics, and customer feedback to enhance automation and AI capabilities.
• Establish and monitor product and operational metrics, taking ownership of results in relation to company OKRs.
• Oversee capability-area health, including accuracy, cost, service levels, and reuse across products.
• Keep an eye on trends and identify risks, anomalies, and performance issues.
• Work alongside engineering and operations teams to investigate issues and facilitate resolution.
• Develop dashboards and reporting to enhance transparency and accountability.
• Serve as the product point of contact for internal teams and external partners.
• Offer recommendations during roadmap reviews and discussions with leadership.
• Assist with customer onboarding and implementation alongside business development teams.
• Document dependencies and create feedback loops to foster continuous improvement in product, system, and processes.
• Influence the vision, values, and culture of Doma’s Product Team.
• Over 6 years of relevant product management experience, including leading cross-functional initiatives for B2B, platform, data, or AI/ML-enabled products.
• Prior focus on delivering impactful enterprise workflow, automation, and/or machine-learning or AI-driven products.
• Strong business acumen combined with data-driven and judgment-based decision-making skills.
• Ability to translate strategy into a high-ROI roadmap and articulate trade-offs between competing priorities.
• Demonstrated creativity and design thinking, with the capability to identify unique and user-friendly solutions.
• Excellent execution skills, proactive risk identification, and adept problem-solving abilities.
• Familiarity with APIs, data pipelines, and the machine-learning lifecycle, including training data, evaluation, monitoring, and retraining.
• Proficient in assessing data quality, accuracy, and cost in collaboration with engineering and data science partners.
• Exceptional written and verbal communication skills, including the ability to convey technical requirements and solutions to both internal and external audiences.
• Capable of driving alignment among internal and external stakeholders and leadership.
• Ability to work independently and transform ambiguity into clarity.
• Experience in title, escrow, mortgage, real estate, or another regulated financial-services workflow, or a proven ability to quickly learn a complex, regulated domain (extra credit).
• Eligibility for bonuses and equity.
• Comprehensive medical, dental, and vision insurance.
• 401(k) plan with company matching program.
• Generous vacation time and Paid Time Off (PTO).
• 12 weeks of Paid Family Bonding Leave (Maternity and Paternity).
• Health Savings Account (HSA).
• Short-Term and Long-Term Disability coverage.
• Supplemental Life and AD&D Insurance.
• Critical Illness, Injury, and Hospital Insurance.
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