Top Tech Jobs & Startup Jobs

Own complex analytical workstreams from problem framing through client delivery, translating large datasets into actionable insights, executive narratives, visualizations, and recommendations. Ensure analytical accuracy, methodological rigor, documentation, and quality assurance. Improve workflows and reusable analytical assets, support feasibility assessments, collaborate with clients and internal teams, and mentor analysts.

Drives strategy, roadmap, discovery, and development for a knowledge platform spanning taxonomy, ontology, analytics, and machine learning-powered products. Translates customer problems and data opportunities into product requirements, quality criteria, and investment decisions. Partners with engineering, data science, taxonomy, analytics, and commercial teams while evaluating AI and knowledge technologies. Uses exploratory analysis and data-quality assessment to guide product decisions and communicate effectively with technical, commercial, and executive stakeholders.

Supports customer-facing data product delivery through backlog management, data contracts, quality monitoring, governance, documentation, launches, incident triage, and cross-functional collaboration. Translates requirements into user stories and acceptance criteria while helping ensure data products are reliable, compliant, and accessible. This early-career role develops technical product management expertise across Engineering, Data, Legal, Security, and go-to-market teams.

Lead execution and delivery of AI data delivery products (initial focus on MCP) by translating strategy into requirements, prioritizing backlogs, partnering with Engineering, Security, Data Science, and GTM teams, and driving adoption while ensuring secure, scalable, and compliant AI integrations.