Top Tech Jobs & Startup Jobs

Manage and grow an established book of business across the United States through strategic account planning, consultative selling, enterprise sales cycles, and executive relationship management. Identify expansion opportunities across ICIS solutions, lead RFPs and negotiations, and collaborate with Sales Specialists, Marketing, Product, and Client Success. Apply industry and market insights to deliver customer outcomes and revenue growth.

Leads UK and Ireland strategy for Customer Data Management, using customer, market, regulatory, competitive and commercial insights to define priorities. Shapes propositions, positioning, packaging and business cases; translates customer needs into product, data, technology and operational requirements; leads cross-functional initiatives; measures customer value; and supports Sales, Pre-Sales and Marketing with value propositions and market narratives.

Supports software quality assurance by executing testing tasks, improving QA processes, maintaining release accuracy, diagnosing system issues with dumps and traces, selecting testing tools, and collaborating with developers, product owners, analysts, and test teams. The role also provides quality feedback, escalates issues, and supports technical workflows using programming languages, data manipulation, visualization tools, and enterprise AI technologies. Night-shift work is required.

Build and operate reliable, scalable platforms and services across AWS environments. Responsibilities include infrastructure automation with Terraform, CI/CD development, observability, incident response, disaster recovery testing, AI service deployment, security, infrastructure documentation, and developer enablement. The role partners with engineering teams to improve availability, performance, recovery, and operational self-service.

Supports faculty and Customer Success Managers by responding to inquiries, coordinating meetings, documenting interactions, executing customer journeys, monitoring product usage, identifying churn and upsell opportunities, maintaining product documentation, and assisting with reports, presentations, training materials, and internal product questions.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Data Factory, Databricks, PySpark, Spark SQL, HPCC, and ECL. Ingests and transforms structured and semi-structured data from diverse sources, develops data models and optimized workloads, and collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics and operational needs.

Provide technical consulting for digital identity, device intelligence, behavioral biometrics, and fraud detection solutions. Lead enterprise client onboarding, solution design, API and mobile SDK integrations, policy configuration, troubleshooting, testing, and go-live support. Translate business requirements into fraud rules and integration plans, configure decisioning logic, conduct technical workshops, and collaborate with engineering, product, pre-sales, fraud strategy, and client stakeholders.

Commission and manage legal webinar content from planning through delivery, coordinating subject matter experts, authors, law firms, internal teams, and vendors. Build stakeholder relationships, support speaker contracting, analyze market intelligence and customer feedback, and contribute to strategic content planning. The role also supports AI adoption, emerging technology initiatives, and broader webinar product and content projects while managing multiple priorities independently.

Performs entry-level accounting analysis, including ledger activities, reconciliations, transaction processing, reporting, budgeting and forecasting support, and statutory account work. Extracts and analyzes data, prepares reports, follows financial and regulatory procedures, and supports process improvements. Requires strong procedural, organizational, documentation, communication, and spreadsheet skills, along with the ability to learn enterprise AI tools and work effectively under deadlines.

Analyze and improve Salesforce Service Cloud and Experience Cloud processes, gather requirements, create user stories and acceptance criteria, and support agile delivery. Identify and evaluate AI and automation opportunities using Agentforce, Einstein, chatbots, and generative AI. Facilitate workshops, document processes, assess technical and business solutions, collaborate with development and QA teams, and advise senior stakeholders on responsible AI adoption.