Top Tech Jobs & Startup Jobs

Lead analytics and reporting for Center Store sourcing: build tools and dashboards, support negotiation prep and RFPs, identify savings and growth opportunities, manage project timelines, train associates, and partner cross-functionally to drive financial results and process improvements.

Lead and manage a team delivering end-user device solutions across corporate and retail users. Oversee device management tools, hands-on troubleshooting, vendor liaison, incident escalation, ITIL best practices, staff development, and strategic improvements to ensure secure, available, and customer-centered end user technology services.

Lead Center Store sourcing analytics by building reporting tools and financial insights to support negotiations, RFPs, and commercial planning. Manage project timelines, synthesize data into negotiation fact packs, identify savings and growth opportunities, train colleagues, and drive process improvements using DSS, PowerBI, Circana, and Office tools.

Lead IT-focused internal audit activities including ITGC/SOX assessments, technology risk reviews, ERM facilitation, data-driven continuous monitoring, AI governance/audit, remediation oversight, and coaching the audit team while partnering with IT and InfoSec to deliver business-relevant risk insights.

Lead social operations for the Americas by translating global priorities into market execution, building operating rhythms, knowledge-sharing systems, content distribution architecture, performance reporting dashboards, and onboarding frameworks. Drive cross-regional alignment, remove blockers, and convert data into actionable insights to accelerate social performance and creative direction.

Manage mid-tier influencer relationships and run end-to-end campaigns across TikTok, Instagram, and YouTube. Own contracting/compliance, coordinate paid amplification, track KPIs, produce performance reports, and scout new talent. Collaborate with Senior Influencer, Brand, Paid Media, and Legal teams to ensure branded, compliant, and high-performing creator content.

Create and maintain technical knowledge articles, troubleshooting guides, runbooks, decision trees, and training materials to improve support case resolution. Partner with SMEs, analyze case trends, capture repeatable troubleshooting workflows, maintain content quality, and prioritize a backlog of enablement requests to enhance Support efficiency and escalation accuracy.

Develop and ship cloud-native full-stack features using Java/Spring Boot backend and React frontends. Design, test, deploy, and maintain secure, scalable services (PostgreSQL, Kafka, AWS, Kubernetes). Own features from design through production, participate in code reviews, troubleshoot production issues, improve CI/CD and observability, and collaborate with product and cross-functional teams. Use AI-assisted tools responsibly to increase engineering productivity.

Lead strategy, roadmap, and delivery of a shared IAM platform for reusable identity and access services. Conduct discovery, define use cases, partner with engineering/security/devops, drive standards (OIDC, SAML, SCIM), measure adoption and SLOs, and support go-to-market and cross-functional enablement.

Design, build, and maintain scalable self-service data and ML platform tools and workflows. Mentor junior engineers, collaborate with cross-functional teams, implement monitoring/alerts, drive infrastructure improvements, integrate new technologies, and produce technical documentation to support reliable, scalable data products and pipelines.

Manage a portfolio of 800+ arbitration matters end-to-end: draft and review pleadings, briefs, discovery, evidentiary submissions, settlement agreements, and assist with courtroom litigation, subpoenas, AI/automation workflows, and general legal/account servicing. Communicate with customers and senior leadership and collaborate with cross-functional teams.

Senior ML engineer building and deploying deep learning models (transformers, foundation models, transfer learning) for oncology real-world data. Responsibilities include research and development of predictive models (digital twins, endpoint prediction, trial optimization), extending models across data sources, supporting client engagements, and partnering with product and engineering to productionize reproducible, maintainable solutions while communicating results to technical and non-technical stakeholders.

Lead development, validation, and deployment of production test systems for PCBA, subassemblies, and system-level aerospace electronics. Develop test strategies, scripts, fixtures, and test racks; validate repeatability and reliability; support contract manufacturers, troubleshoot yield issues, drive root cause analysis, and maintain compliance, documentation, and production readiness.

Lead full-stack development of the signup-to-activation experience, inventing and shipping 0-to-1 AI-driven onboarding features across web, messaging channels, and third-party AI assistants. Collaborate with product, design, and data, mentor engineers, scope rapidly, and measure/iterate to improve activation metrics.

Lead paid social and emerging channel strategy and execution, managing multi-million dollar budgets and full-funnel campaigns. Design and run experiments, own creative testing and AI-powered workflows, partner cross-functionally on landing pages and launches, and measure paid acquisition impact on pipeline and revenue.

Manage end-to-end onboarding for Gusto 401(k) plans (new setups and conversions). Serve as primary contact for sponsors/admins, drive tasks to activation and first contribution, coordinate cross-functionally, ensure data accuracy and compliance, monitor performance metrics, and use AI tools to improve workflows.

Serve as the CRO's second-in-command to align Sales, Marketing, Customer Success, and CX. Own the revenue tech stack, data governance, forecasting, reporting, lead lifecycle, and cross-functional initiatives to drive pipeline integrity, forecasting accuracy, and scalable GTM execution.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.