Top Senior Level Jobs

Designs AI-native enterprise UX for complex supply chain workflows. Responsibilities include user research, problem framing, information architecture, wireframes, prototypes, interaction models, high-fidelity UI, AI-assisted design workflows, usability validation, design systems, and close collaboration with product, engineering, architecture, and AI teams. The role establishes trusted, explainable, user-controlled AI experiences while influencing product direction and implementation quality.

Drive revenue growth within existing enterprise accounts by selling Skillsoft’s SaaS content and platform solutions to senior executives. Build strategic customer relationships, expand whitespace, manage complex sales cycles, develop pipeline, deliver tailored executive presentations, negotiate effectively, and collaborate with sales, customer success, marketing, and support teams. The role requires strong quota performance, pipeline management, and the ability to navigate complex organizations.

Support banking and payments transformation programs for financial institution clients. Facilitate discussions, analyze performance, develop recommendations, forecast improvements, collaborate with business and technology teams, and produce insights and deliverables for decision-making. The role requires financial services or management consulting experience, banking and payments knowledge, strong analytical and communication skills, and proficiency in Excel and PowerPoint.

Own global full-cycle recruiting with a primary focus on enterprise sales and GTM hiring. Build proactive talent pipelines, partner with senior leaders, define candidate profiles, manage hiring through Greenhouse, improve interview processes, deliver strong candidate experiences, and use recruiting metrics to optimize outcomes. The role is hybrid in Boston, requiring three office days per week.

Own external communications for LTX, including core messaging, positioning, media relations, executive speaking opportunities, product and corporate announcements, thought leadership, and executive social presence. The role partners cross-functionally with marketing, technical, sales, product, and executive teams while managing reporter and partner requests and supporting AI model launches.

Senior Product Engineer responsible for designing and building OOTD’s booking and operations platform, scalable media asset infrastructure, fashion personalization data pipeline, mobile and web experiences, and payment infrastructure. The role requires full-stack technical depth, strong product curiosity, collaboration with users and internal teams, and informed use of AI software development tools. The position is based in the NYC office and involves helping launch and scale the platform.

Serve as the strategic finance partner to the Product organization, evaluating new product lines, building business cases, unit economics models, pricing frameworks, forecasts, and scenario analyses. Advise product and executive leadership on investment allocation, market opportunities, and financial performance. Establish dashboards, reporting, and scalable Product Finance processes while presenting clear financial narratives to senior stakeholders.

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.

Leads a team of data scientists and business intelligence engineers responsible for demand forecasting, customer-agent routing, budgeting projections, and core business KPIs. Designs scalable analytical assets in Snowflake and Tableau, embeds AI into analytics workflows, partners with Product, Engineering, and Finance, and advises senior leaders on strategic investments, tradeoffs, revenue, and profitability.

Investigate suspicious activity, review fraud alerts, verify transactions with customers, process and resolve fraud claims, document case details, and escalate confirmed fraud. The role requires adherence to banking regulations, internal policies, quality standards, and claim-resolution timelines while using multiple technology platforms and emerging agentic AI tools. It is a hybrid position requiring four days in the Irving, Texas office and one day working from home.