Top Tech Jobs & Startup Jobs

Marketing, creative, communications, and eCommerce co-op roles supporting brand campaigns, product launches, social content, creative production, packaging, digital commerce, marketplaces, analytics, and communications. Responsibilities vary by team and include developing assets, monitoring campaign performance, managing digital shelf content, supporting promotional programs, coordinating agencies and projects, and presenting results. Candidates must be current or recent students prepared to work full-time in an onsite-hybrid environment.

Supports business operations and corporate functions across sales analytics, strategic planning, supply chain, finance, People & Culture, communications, and legal. Responsibilities may include building dashboards and reports, analyzing sales and market data, improving processes, managing inventory and forecasts, supporting financial close and costing, coordinating recruiting and communications, and conducting regulatory research. Interns present recommendations, collaborate cross-functionally, and own meaningful projects in a global consumer products environment.

Interns support product development, industrial and CMF design, UX/UI, consumer insights, culinary testing, and customer experience initiatives. Responsibilities may include research, concept sketches, CAD, renderings, prototypes, usability testing, competitive analysis, recipe development, consumer journey mapping, and synthesizing findings into product recommendations. Interns collaborate with engineering, marketing, product management, suppliers, and design leaders while contributing to product launches and presenting project outcomes.

Lead the strategy, roadmap, development, commercialization, and optimization of TransUnion’s messaging solutions portfolio, including SMS, MMS, RCS, and emerging channels. Own the full product lifecycle, develop pricing and go-to-market strategies, partner with Engineering, Sales, Marketing, and customers, and serve as the messaging subject matter expert. Drive product adoption, market expansion, customer engagement, and business growth while representing the company through industry presentations and thought leadership.

Leads the vision, roadmap, governance, and operating model for TransUnion’s TruIQ Analytics Platform. Partners with Engineering, Architecture, Data Science, Solutions, and Commercial teams to develop scalable SaaS capabilities incorporating analytics, AI, ML, decisioning, and data services. Defines requirements, success metrics, adoption strategies, and platform standards while supporting global rollout across multiple solution domains and geographies.

Develop predictive risk management and business intelligence solutions for financial services clients. Lead descriptive, predictive, and prescriptive analytics using large datasets and statistical techniques. Program in R, Python, and SQL, present insights to executives and customers, support proposals and product adoption, and mentor junior colleagues. The role is hybrid and requires approximately 10% to 20% travel.

Provides customer support for an online gambling platform through live chat, telephone, and email. Investigates and resolves inquiries and complaints, escalates issues, explains policies and licensing requirements, and promotes responsible gambling. The role requires strong communication, multitasking, problem-solving, attention to detail, technology proficiency, and an ability to work evenings, weekends, and holidays. Includes an eight-week training program and opportunities for advancement.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Owns go-to-market readiness for product launches, pricing and packaging changes, migrations, deprecations, and route-to-market changes. Translates product decisions into commercial and operational requirements, coordinates cross-functional teams, validates end-to-end customer and seller workflows, manages launch risks, and improves readiness processes through reusable frameworks and automation.

Lead the vision, strategy, and roadmap for automated inbound planning products across 13 fulfillment centers. Partner with engineering, data science, supply chain, transportation, inventory, and operations teams to convert complex planning challenges into scalable technical solutions. Manage requirements, dependencies, launches, KPIs, and continuous improvement while influencing senior leaders and aligning cross-functional priorities.

Analyze category performance, customer behavior, market trends, financial metrics, assortment, inventory, pricing, and vendor performance. Support category strategy, forecasting, budgeting, product launches, vendor onboarding, promotions, and e-commerce execution. Prepare reports and data-driven recommendations while coordinating with Category Managers and cross-functional teams to improve sales, profitability, product availability, and customer experience.

Creates social-first photo, video, motion, and static content for paid and organic channels. Independently handles ideation, shooting, producing, designing, editing, copywriting, and versioning for platforms including TikTok, Meta, and YouTube Shorts. Partners with creative and marketing teams, monitors trends and performance insights, uses AI tools, manages multiple assignments, and supports larger productions when needed.

Own Legal Operations, cross-functional business processes, business systems, tooling, vendor management, reporting, and workflow automation. Build scalable operating mechanisms, improve information flow, coordinate strategic initiatives, and support executive planning in a fast-growing SaaS company. The role requires strong project management, systems implementation, process design, AI workflow experience, and comfort solving ambiguous problems without a predefined playbook.

Lead and grow an enterprise sales team selling AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. Responsibilities include recruiting, coaching, forecasting, quota attainment, pipeline management, strategic deal support, onboarding, performance improvement, and leadership reporting. The role partners with Marketing, Product, and Customer Success to shape demand generation and messaging while driving consultative sales methodology across the team.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Build and operate scalable platform services and APIs that improve engineering workflows. Develop Kubernetes operators, automate self-service capabilities, provision cloud infrastructure with Terraform, and manage reliable workloads using AWS, Docker, Kubernetes, Helm, and ArgoCD. Lead technical initiatives, apply secure software engineering practices, support production systems, and participate in an on-call rotation while collaborating across engineering teams.

Design and integrate complex compute subsystems and SoCs, including PCIe, DDR, HBM, UCIe, and Ethernet IP. Develop micro-architecture specifications and RTL, perform design checks, debug issues, and collaborate with verification, performance, backend implementation, and project management teams. Support floor planning, timing closure, design methodologies, and team development while guiding other engineers.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.