Top Tech Jobs & Startup Jobs

Develop predictive and prescriptive models using structured and unstructured data, with a focus on NLP and GenAI. Responsibilities include exploring datasets, building visualizations, generating business insights, automating data workflows, developing interactive applications, and collaborating with stakeholders across marketing, sales, finance, and supply chain.

Supports financial statement audits by reviewing financial documents, analyzing data and trends, documenting audit procedures and findings, evaluating internal controls, and applying GAAP, GAAS, and audit methodologies. Collaborates with audit teams, conducts research, assesses risks, and develops foundational knowledge of financial reporting, compliance, and client service.

Leads GitLab’s National Security Group regional sales team, driving new and expansion revenue across U.S. federal agencies. Responsibilities include hiring and coaching Account Executives, forecasting, pipeline management, complex deal strategy, executive negotiations, federal procurement, FedRAMP-related selling, partner engagement, and account expansion. The role collaborates with Customer Success, Product, Marketing, Renewals, distributors, and systems integrators while traveling as needed for customer and team engagements.

Provides operational and client support for hedge fund and investment accounting customers. Manages inquiries, reporting, account setup, compliance, reconciliations, and investment data validation. Builds client relationships, resolves complex issues, prioritizes workflow using quality metrics, and collaborates on long-term projects. Supports training and oversight of junior staff while applying knowledge of financial statements, investment accounting, fixed income, equities, and internal reconciliation tools.

Own end-to-end strategy and go-to-market execution for AI products, including positioning, messaging, customer engagement programs, product launches, sales enablement, performance analysis, and growth initiatives. The role requires translating complex AI capabilities into compelling buyer value, coordinating across Product, Sales, and Customer Success, building technical systems, and influencing leadership decisions.

Lead development of Atlassian’s Digital Success OS by defining data foundations, telemetry pipelines, AI-agent signals, journey orchestration, and digital-to-human handoffs. Partner with data engineering, analytics, data science, AI, RevOps, and customer success teams to operationalize customer plays, predictive models, experimentation, measurement, and feedback loops. Own cross-functional decisions, architecture principles, dependencies, and change control while improving adoption, engagement, churn-risk detection, agent effectiveness, and customer outcomes at scale.

Own the vision, roadmap, packaging, pricing, quality metrics, and launch of Bits Release, an agentic software release validation product. Partner with customers, engineering, design, finance, marketing, advocacy, and sales to build trusted developer experiences, evaluate AI agent reliability, support production validation, and take the product from preview to general availability.

Originates primarily home equity loans and lines of credit, with some first mortgage lending. Converts internal referrals and member inquiries into funded loans, manages applications and pipelines, coordinates with lending teams, ensures regulatory compliance, resolves closing issues, and provides high-touch member guidance. Participates in seminars, webinars, and community events to promote lending services and generate business.

Own the design, development, deployment, and maintenance of backend services, APIs, databases, integrations, and cloud infrastructure. Build secure REST and GraphQL APIs, optimize relational data systems, modernize service architecture, maintain CI/CD and testing, and implement privacy and security controls. Collaborate with frontend, QA, and product teams, review code, document systems, and mentor developers.

Own aerothermal environment definition for a reusable Earth-return vehicle across its flight envelope. Run high-enthalpy CFD, engineering heating methods, and custom solver extensions; integrate CFD, test data, and uncertainty margins into databases supporting TPS, structures, and trajectory design. Validate methods through analytical, wind tunnel, arc-jet, and flight data, automate environment delivery, and manage computing resources.