Lead Product Manager
New
D
Doma Technology LLCReal estate technology
Remote USAFull-TimeLead
Salary$148,680 — $214,800 USD
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Job Details
- Experience
- 6+ years of relevant product management experience
- Required Skills
- Artificial IntelligenceMachine LearningProduct ManagementCross-functional Team LeadershipProduct AnalyticsRESTful APIs
Requirements
- Have 6+ years of relevant product management experience.
- Have led cross-functional initiatives for B2B, platform, data, or AI/ML-enabled products.
- Bring experience delivering enterprise workflow, automation, machine-learning, or AI products.
- Use business acumen, data, and judgment to prioritize a high-ROI roadmap and explain trade-offs.
- Translate product goals into clear context, requirements, and acceptance criteria for engineering, data science, and other partners.
- Identify risks proactively and solve problems to mitigate them.
- Be comfortable with APIs, data pipelines, and the machine-learning lifecycle, including training data, evaluation, monitoring, and retraining.
- Evaluate data quality, accuracy, and cost with engineering and data science partners.
- Align internal and external stakeholders and leadership, and communicate technical requirements and recommendations clearly.
- Work autonomously and turn ambiguity into clarity.
- Experience in title, escrow, mortgage, real estate, or regulated financial-services workflows is extra credit.
Responsibilities
- Own day-to-day product execution and the roadmap for the refinance title decisioning platform.
- Define customer outcomes and measurable results for initiatives before designing solutions.
- Translate product strategy into requirements, user stories, and acceptance criteria.
- Prioritize roadmap deliverables and milestones across workstreams and teams against company OKRs and capacity.
- Partner with engineering, data science, and platform teams throughout the product lifecycle to deliver scalable solutions.
- Define and track product and operational metrics, and own results against company OKRs.
- Monitor product health, trends, risks, anomalies, and performance issues; partner with engineering and operations to resolve issues.
- Create dashboards and reporting to improve transparency and accountability.
- Coordinate with internal teams and external partners on roadmaps, onboarding, implementation, dependencies, and product opportunities.
- Collaborate across functions to identify opportunities for automation, efficiency, error reduction, and continuous improvement.
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