Top Tech Jobs & Startup Jobs

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Supports the legal and regulatory framework for U.S. and international private wealth funds. Responsibilities include developing compliance policies, overseeing fund service providers and AML controls, screening sales intermediaries, testing compliance procedures, monitoring trading restrictions, reviewing marketing materials, preparing regulatory filings, and responding to client questionnaires, RFPs, and RFIs. The role collaborates extensively with legal, compliance, operations, finance, distribution, and client-service teams.

Supports procurement and transportation analytics by collecting, organizing, and analyzing data related to raw materials, purchasing, purchase orders, suppliers, freight, and shipping. Develops dashboards, reports, and performance metrics using Power BI and Excel, identifies trends and improvement opportunities, validates data, and supports reporting accuracy and process improvements.

Partners with university researchers, faculty, staff, and administrators to improve data storage, organization, protection, and lifecycle management. Advises on storage placement, data hygiene, archiving, compression, deletion, and tiering. Curates central cloud and enterprise storage platforms, promotes file organization and lifecycle workflows, and translates storage challenges into efficient processes. Supports planned after-hours maintenance and major incidents while maintaining awareness of grant mandates, privacy, and compliance requirements.

Manage and grow a portfolio of business accounts by building customer relationships, achieving sales and revenue targets, handling inbound and outbound sales activity, identifying opportunities, maintaining account plans, and collaborating with internal teams and partners. The role also involves managing CRM data, meeting performance KPIs, supporting customer satisfaction, presenting to stakeholders, and continuously developing knowledge of Telstra’s ICT products and solutions.

Provides instructional and operational leadership under the Principal, including monitoring instructional programs, analyzing academic and operational data, coaching and developing teachers, supervising staff, supporting student engagement and enrollment, coordinating events and testing, managing facilities and safety, engaging with parents, and supporting special education and school improvement initiatives.

Own a product area from discovery through delivery and iteration. Define product vision, strategy, roadmaps, PRDs, user stories, acceptance criteria, and prioritized backlogs. Conduct customer research and data-informed analysis, collaborate with Engineering, Design, Sales, Marketing, and Customer Success, and support launches and adoption. Lead Product Council planning, present roadmaps, evaluate AI-agent outputs, and use customer and usage insights to improve product outcomes.

Manage, monitor, troubleshoot, and resolve escalated SAP, ERP, and middleware incidents. Execute change management, support disaster recovery, manage tickets within SLA requirements, document solutions, identify automation opportunities, and provide technical guidance to service desk, operations, L3 teams, clients, and junior engineers. The role is remote and includes emergency support responsibilities.

Own the full-cycle sales process for Eulerity’s AI-powered marketing automation platform, targeting mid-market, multi-location, and franchise brands. Responsibilities include prospecting, discovery, product demonstrations, negotiation, closing new business, meeting quotas, forecasting in HubSpot, and collaborating with SDR, Customer Success, Product, and Marketing teams. The role requires mar-tech sales expertise, strong digital marketing knowledge, and experience managing complex, multi-stakeholder SaaS deals.

Design, implement, and deploy production-scale machine learning models to evaluate disputes, chargebacks, and fraud likelihood. Build and manage orchestration layers for multiple models, collaborate with stakeholders to integrate partner/customer data, and improve automated and supervised decision-making for a product-focused ML environment.