#### If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma Technology.
#### **About Us
Doma Technology LLC offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction.
#### **Our Values
- •Obsessively Entrepreneurial - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way.
- •People First - We communicate with honesty and respect to our customers, colleagues, and partners.
- •Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives.
- •Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices.
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.
What You'll Do: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
Desired Skills & Experience:
- •Experience: 6+ years of relevant product management experience, including leading cross-functional initiatives for B2B, platform, data, or AI/ML-enabled products
- •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.
- •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.
- •**Technical Fluen