The Research Manager will lead genealogical research projects, manage client deliverables, and oversee research staff within their assigned pod. They are responsible for maintaining high research standards, meeting billable hour targets, and ensuring effective communication with clients and team members.
Ancestry
10 Remote Job Openings at Ancestry
Lead the product strategy and roadmap for DNA features, integrating genomic and genealogical data with AI solutions to drive user conversion. Collaborate with science, engineering, and design teams to build robust platform services and intuitive user experiences.
Own and optimize end-to-end CRM programs, including campaign planning, automated journeys, and segmentation to improve customer engagement and lifetime value. Partner with cross-functional teams to create connected customer experiences across the full lifecycle from acquisition to re-engagement.
Bridge the gap between design and engineering by creating interactive, code-based prototypes across web and native platforms. Collaborate with cross-functional teams to evolve design systems and ensure high-quality implementation of design intent.
Lead the product strategy and roadmap for genetic genealogy tools by bridging the gap between genomic data and historical records. Partner with engineering and design to build scalable backend APIs and intuitive frontend components for discovery experiences.
Define and evolve core interaction patterns and design principles to ensure consistency across Ancestry's product ecosystem. Identify fragmentation across teams and translate these into scalable design systems and shared solutions.
Develop and maintain high-throughput backend microservices for Ancestry's Family History Trees. Guide AI agents to produce software while ensuring architectural quality and minimal technical debt.
Postdoctoral Fellow - Applied AI - Document Understanding
Ancestry
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Full Time
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a month ago
Ancestry
Lead research in Document Understanding by designing AI-native agentic systems to extract insights from billions of historical records. Implement cutting-edge NLP and CV solutions to transform unstructured genealogical data into structured knowledge graphs.
Develop, deploy, and optimize machine learning and large language models to enhance customer experiences and internal workflows. Build AI agents and MLOps pipelines to streamline model training, evaluation, and scalability.
Design and implement AI-native agentic systems to extract and organize text and image information from historical records. Develop multi-agent workflows for complex reasoning and collaborate with ML Ops to deploy these solutions in cloud environments.
