The Lifecycle Marketing Manager will develop and optimize multi-channel customer communications across the user lifecycle, including onboarding, engagement, and retention. They will manage end-to-end campaign execution, from strategy and creative briefing to data-driven analysis and A/B testing.
The Machine Learning Engineer Co-op will develop, deploy, and optimize machine learning and generative AI models to enhance customer experiences and internal workflows. They will also build intelligent AI agents and maintain MLOps pipelines to streamline model evaluation and deployment.
The Data Science Co-op will develop and fine-tune AI models for document understanding, including OCR and handwriting recognition, to extract insights from historical records. They will also collaborate with engineering teams to deploy these models in cloud environments to support product development and customer success.
You will maintain high site availability by managing incident triage, mitigation, and complex technical problem resolution. Additionally, you will develop in-house tooling and automation while leveraging AI agentic workflows to improve operational efficiency.
The Lead Product Designer will spearhead the strategy for the 'Share' pillar, creating intuitive and emotionally resonant experiences that help users connect through family history. They will lead design initiatives from start to finish while collaborating with cross-functional teams to ensure cohesive and high-quality product delivery.
The Applied AI Science Co-op will research and implement methods to improve embedding quality, personalized ranking systems, and customer behavior models. They will collaborate with scientists and engineers to deploy scalable machine learning solutions for content discovery and user insights.
The engineer will develop AI-powered code transformation tools to migrate application instrumentation to OpenTelemetry standards. They will also contribute to observability operations, including log PII detection, cost optimization, and infrastructure monitoring.
Develop and manage a pipeline of strategic partnerships to drive commercial growth and expand into new audience segments. Collaborate with cross-functional teams to ensure strategic alignment and execute partnership initiatives with excellence.
The co-op will partner with international product and marketing teams to define UX/UI strategies and lead product experiments for priority growth markets. They will create wireframes, prototypes, and high-fidelity designs while leveraging user research and market data to optimize the international user experience.
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.
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.
