Top Tech Jobs & Startup Jobs

Partners with Audit & Risk leaders to develop and execute people strategy, workforce planning, talent management, leadership development, organizational design, and change initiatives. Advises associates, managers, and HR partners on employee issues; coaches leaders on performance, organizational effectiveness, and inclusive team development; and collaborates across HR functions to deliver aligned solutions and reporting.

Leads paid search, social, and display marketing acquisition strategy for small-business card products. Develops marketing innovations, designs market tests, evaluates customer data and credit risk, optimizes audience targeting, and creates strategic roadmaps. Partners with marketers, data scientists, technology teams, agencies, and vendors while managing concurrent initiatives. May supervise and develop one to two analysts.

Manage Capital One’s Unified Technology Exception Program for Bank Tech by triaging cyber risks, coordinating exception reviews, securing executive approvals, maintaining data integrity, producing reporting and analytics, and advising stakeholders. The role requires managing time-sensitive communications, facilitating high-risk exception decisions, using AI to improve reporting processes, and building trusted relationships across business and technology teams.

Leads enterprise ontology and data-modeling strategy, governance, integration, standardization, and roadmap development. Manages teams creating semantic models, taxonomies, linked data, and reusable capabilities while partnering with technology, machine learning, and business stakeholders. Advocates W3C standards, supports knowledge organization workshops, establishes modeling guidelines, monitors industry trends, and mentors team members. Requires expertise in metadata, ontologies, linked data tools, graph technologies, SQL or SPARQL, and semantic standards.

Lead data engineering role responsible for designing, developing, testing, implementing, and supporting cloud-based data solutions. The position involves big data, distributed systems, microservices, machine learning collaboration, real-time streaming, data warehousing, NoSQL databases, and full-stack development. The engineer will mentor teammates, review code, perform unit testing, optimize performance, collaborate with product managers, and contribute to Agile delivery and technology innovation.

Leads large-scale technical programs and builds highly scalable products and platforms. Responsibilities include identifying technical risks, guiding technology decisions with senior leadership, developing TPM teams and practices, simplifying complex technical issues, coordinating cross-functional stakeholders, and ensuring execution, accountability, and business impact across complex programs.

Leads and develops multiple software engineering teams, mentors engineers, partners with product managers, improves Agile engineering practices, and oversees scalable, resilient full-stack solutions. Directs AWS deployments, modernizes monolithic applications into microservices, promotes innovation, and drives technical excellence, collaboration, and team velocity across customer-focused banking products.

Designs complex, data-driven learning experiences and curricula for enterprise and leadership audiences. Partners with business leaders, project leads, subject matter experts, designers, consultants, and multimedia teams to create accessible e-learning, workshops, virtual training, and job aids. Independently manages learning solution design and delivery, applies adult learning theory, measures impact, improves L&D processes, mentors colleagues, and introduces emerging technologies and scalable design practices.

Own and optimize outbound channel marketing programs that reactivate dormant B2B merchants and close merchant acceptance gaps. Manage telemarketing, site visit, and mystery shopping vendors; improve scripts and playbooks; oversee SLAs, budgets, P&L, unit economics, testing, and matchback attribution. Coordinate internal partners and ensure marketing activities meet legal, compliance, and brand standards.

Develops and governs enterprise ontologies, semantic models, and data standards. Partners with Finance, Technology, Product, and Machine Learning teams to integrate semantic technologies, harmonize linked data, improve data discoverability, and support product development. Responsibilities include applying W3C standards, managing ontology tools, testing models, advocating data standardization, monitoring industry developments, and overseeing related projects.