Top Tech Jobs & Startup Jobs

Lead global DSP operations to optimize partner performance, scalability, and supply competitiveness. Build operational frameworks, KPIs, and cross-functional programs; manage a distributed team; drive platform integrations, traffic shaping, identity and exchange optimization to support revenue growth and operational excellence.

Serve as subject-matter expert for omni-channel marketing of life insurance products: develop content, sales collateral, campaign strategy and launches; collaborate with creative, media, sales, product specialists and compliance; manage content inventory and tagging across print, video, social, and web; support sales enablement and stakeholder alignment to drive engagement and revenue.

Early-career rotational analyst role in Corporate Strategy/Development. Break down complex business problems, conduct industry and competitive research, analyze datasets, build financial models and valuations, evaluate financial statements and macro trends, support executive meetings, and develop presentation and client‑facing skills while rotating across strategy-related projects.

Perform daily reconciliations, prepare and enter journal entries, support month/quarter/year-end close, assist with audits, maintain ledger accounts, improve reporting processes, and collaborate cross-functionally on ad-hoc financial analysis and projects.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Perform data analysis and test & evaluation of machine learning algorithms; develop algorithms for physical and autonomous systems; transition algorithms to software and embedded systems; work with stakeholders to present results and solutions; research new ML and data-analysis methods; handle large, multidimensional datasets and data pipelines.

Design, develop, test, and deploy mission-planning algorithms and simulations. Process and analyze raw data, validate performance with dynamic-system simulations, document results, and present findings. Collaborate with cross-functional teams to integrate fieldable algorithmic solutions into software.

Manage and mentor a global team of data engineers and data scientists, align technical delivery with business goals, allocate resources, improve delivery processes, drive automation and technical evangelism, and collaborate with sales and account teams to support growth.

Build and support production-grade frontend and backend systems, collaborate with sales and support for EU expansion, provide pre/post-sales technical support, interface with customers to gather feedback, implement and refine in-house LLM and real-time interview systems, and deploy scalable, reliable services and real-time data infrastructure.

Lead and manage a global AWS Platform Services team to deliver secure, reliable, scalable AWS solutions. Oversee platform operations, governance, security, automation, cost optimization, and incident response. Partner with cross-functional stakeholders, mentor team members, drive process improvements, and make technical decisions to align cloud solutions with enterprise standards and business priorities.

Lead customer adoption strategy for autonomous solutions, owning backlog, deployment wave planning, customer selection, go-to-market and deployment readiness. Coordinate cross-functional teams to define acceptance criteria, onboarding, training, milestones, and success metrics to ensure timely delivery and business value realization for autonomous implementations.

Develop and maintain Python data pipelines and CI/CD deployments to build business data objects. Implement source-to-target mappings, unit and integration tests, resolve complex technical issues, and uphold software quality and best practices within the team.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Embed with agency teams to turn underused data (call transcripts, CRM activity, financials) into structured, actionable insights. Build repeatable pipelines and analytics products, push trusted metrics into the semantic layer, partner with Analytics Engineering and Data Science, and track insight-to-action outcomes tied to client accounts.

Lead a full-stack Reconciliation team owning transaction-matching pipelines across mobile and backend systems. Drive reliability, observability, and accuracy for post-claim flows, coach and grow engineers, contribute hands-on in high-leverage technical areas, partner cross-functionally, and scale systems and processes to improve transaction success and user trust.

Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models on GCP (Vertex AI), mentor junior data scientists and ML engineers, establish workflows/standards and CI/CD, collaborate with US and UK data teams and product stakeholders, and implement real-time/event-driven solutions (Kafka).