Product Manager, Integrations

Doma Technology LLC

14h•$132,100 - $188,900•Remote

About The Position

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. Doma is cutting thousands of dollars in home loan costs to borrowers nationwide using AI agents, and you can be part of it! We’re looking for a Product Manager to support our core platform in the Title & Escrow space, with a focus on Data Services and External Integrations. This role sits within our product organization and partners closely with Engineering, Data Science, Operations, and external technical and business partners. You’ll work alongside senior Product leaders to drive execution across two critical areas: Data & Data Services: Doma’s proprietary AI technologies and additional data retrieval and extraction services that streamline a modern real estate transaction by integrating disparate systems, reducing manual processing and ensuring data accuracy. External Integrations: Client-facing integrations that enable bidirectional file processing with ease, scalability across loan origination systems and title production systems, and adaptability to meet client needs. In addition to delivery, this role plays a key part in monitoring product performance, ensuring system reliability, and managing third-party partner ecosystems. This is a high-impact, mid-level role designed for someone who thrives in execution, enjoys solving complex workflow problems, and wants to grow into broader product ownership over time.

Requirements

3–6 years of experience in Product Management or Product Ownership
Strong execution skills with attention to detail and follow-through
Experience working with product metrics, monitoring, or system performance
Comfort working with technical systems, APIs, and data flows
Experience working with customers, external vendors, and technical partners
Strong communication skills with both technical and non-technical stakeholders
Ability to manage multiple product areas simultaneously without losing focus or quality
Analytical mindset with the ability to use data to inform decisions

Nice To Haves

Experience in fintech, proptech, mortgage/title/escrow workflows, or regulated industries
Familiarity with API-based integrations and data exchange patterns
Experience working with workflow automation or operational systems
Exposure to tools like Jira, Confluence, Postman, or similar

Responsibilities

Own day-to-day product execution and roadmap across Data Services and Integrations initiatives, including Doma’s Public API
Translate product strategy into detailed requirements, user stories, and acceptance criteria
Manage and prioritize the product backlog across multiple workstreams
Partner closely with engineering to deliver scalable, high-quality solutions
Support integration efforts with external partners, ensuring reliable and scalable data exchange
Bridge subject matter experts and AI systems, synthesizing domain feedback to improve how AI agents process real estate documents
Define and track key product and operational metrics across data services and integrations
Establish visibility into system performance, throughput, latency, and failure points
Monitor trends and proactively identify degradations, anomalies, or risks
Partner with engineering and operations to investigate issues and drive resolution
Create dashboards, reporting, and alerts to improve transparency and accountability
Act as the product point of contact for third-party data providers, middleware platforms, and technical partners
Support our Sales team by facilitating new customer onboarding and integrations
Monitor partner performance, SLAs, and data quality
Own issue escalation and resolution with external vendors
Collaborate on integration improvements, reliability, and scalability
Ensure partner dependencies are well understood and documented
Collaborate cross-functionally to identify pain points and opportunities for automation, efficiency, and error reduction
Establish feedback mechanisms to continuously improve systems and processes