Top Tech Jobs & Startup Jobs

Designs and owns dimensional data models, production pipelines, data-quality systems, metrics definitions, dashboards, and operational reporting for large-scale robotics and wearable-data operations. The role automates recurring workflows, ensures data correctness and freshness, manages backfills, and partners with operational and technical stakeholders to deliver trusted reporting and analysis.

Analyze customer experience and support data using SQL, Python or R, statistical modeling, predictive analytics, machine learning, NLP, and Generative AI. Develop segmentation models, KPI scorecards, and customer satisfaction insights; connect customer metrics to business outcomes and ROI; and communicate recommendations to stakeholders. The role requires 8+ years of analytics experience and supports Reality Labs customer-centric initiatives.

Manage weekly executive approval processes for a data center site selection team, including intake, quality checks, stakeholder sign-offs, tracking, and reporting. Lead business-side implementation and testing of a portfolio management platform, including requirements, UAT, feedback triage, data migration, and adoption. Maintain dashboards, workflows, documentation, leadership communications, and operating reviews while identifying automation and process improvement opportunities.

Lead finance transformation programs across Accounting, FP&A, and Treasury. Manage complex workstreams, requirements, schedules, risks, dependencies, stakeholder coordination, and technology-enabled business solutions. Develop project plans, status reports, contingency plans, and decision-support materials while resolving issues and adapting to shifting priorities. Apply finance and accounting analysis to support decisions and delivery. The role also contributes to consulting practice activities, thought leadership, client materials, and digital transformation initiatives.

Supports technology finance through budgeting, forecasting, FP&A, variance analysis, financial modeling, reporting, and governance. Reviews CapEx and OpEx spending, project budgets, resource utilization, and financial performance. Prepares dashboards and executive presentations, identifies risks and opportunities, and partners with stakeholders to improve financial processes, controls, and reporting accuracy.

Supports high-volume partner incentive and investment deals from contract execution through supplier onboarding and payout. Reviews contracts, maintains account and incentive records, coordinates procurement activities, validates and submits payout requests, tracks approvals and payments, reconciles amounts, and resolves exceptions. Maintains dashboards, reports, trackers, exception logs, and procedures while collaborating with Finance and Deal Operations. The role also contributes to internal consulting practice activities and requires strong spreadsheet, documentation, and transactional finance skills.

Leads strategy and execution for large-scale data engineering and analytics programs. Coordinates engineering, data science, product, and business stakeholders; manages roadmaps, dependencies, milestones, risks, reporting, and delivery. Ensures data definitions, transformations, models, and downstream analytics remain accurate and fit for purpose while navigating complex, ambiguous initiatives involving multiple teams and partners.

Own demand forecasting and performance analysis for consumer hardware and accessory products. Build sell-through and sell-in forecasts, analyze actuals versus goals, identify performance drivers, improve forecast accuracy, and present actionable recommendations. Partner with sales, marketing, analytics, category management, and channel operations teams to support production, inventory, and product launch decisions.

Manages multiple AI research compliance programs, coordinating engineering, research, privacy, and review stakeholders. Responsibilities include drafting requirements, tracking milestones, resolving blockers, reporting project status, mitigating risks, cataloging and annotating AI research assets, analyzing data, and optimizing workflows. The role also contributes to internal consulting practice activities and requires strong communication, stakeholder management, and independent problem-solving in ambiguous environments.

Build and manage complex ETL and data pipelines, data warehouses, monitoring, and alerting systems for a legal-focused infrastructure team. Lead cross-functional data engineering initiatives from planning through delivery, optimize large-scale data processing, identify reliability issues, and communicate with technical and non-technical stakeholders. The role also involves supporting consulting practice activities, documentation, thought leadership, and client-facing deliverables.