Top Tech Jobs & Startup Jobs

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Build and operate production AI platform capabilities, including agentic and multi-agent systems, evaluation and monitoring frameworks, fine-tuning workflows, inference optimization, safety controls, APIs, and rollback mechanisms. Partner with data and infrastructure teams to deliver reliable, scalable AI services while balancing latency, cost, GPU utilization, and operational risk. Senior engineers also mentor teammates, review designs, and raise engineering standards.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Build and own full-stack software and AI-powered product features across frontend, backend, agentic infrastructure, and deployment layers. Develop React and TypeScript applications, maintain Bun and Elysia backend architecture, expand LangChain-based tooling, and collaborate with founders, ML specialists, domain experts, and customers. Translate complex real-world problems into trustworthy product solutions while independently delivering features and major improvements in a fast-paced, zero-to-one startup environment.

Designs and owns production machine learning systems for game development and live operations. Responsibilities include querying large-scale data warehouses, exploratory analysis, statistical testing, feature engineering, experimentation, model deployment in cloud environments, and collaboration with engineering and product teams. The role also involves mentoring junior data scientists, communicating insights to technical and non-technical stakeholders, and promoting data-driven decision-making.

Build and maintain revenue operations data pipelines, dbt models, integrations, and GTM systems across Salesforce, Marketo, warehouses, and analytics platforms. Diagnose synchronization and schema issues, ensure data integrity, translate ambiguous business needs into data solutions, test end-to-end workflows, and collaborate with Sales, Marketing, Customer Success, Finance, and Engineering. The role also involves experimentation with AI tools, technical documentation, and managing multiple projects independently.

Own supply strategy and operations for a multi-tier delivery service provider network. Build and manage DSP relationships, negotiate contracts and SLAs, source and onboard partners, establish performance scorecards, and improve delivery KPIs. Analyze operational data, lead cross-functional issue resolution, and create scalable playbooks for onboarding, incidents, and capacity surges.

Advocate for open-source cloud networking and AI infrastructure projects through technical content, conferences, workshops, community engagement, and customer collaboration. The role advises prospects and users, develops best practices, gathers ecosystem feedback, and partners with product and engineering teams on roadmap decisions. It requires software engineering experience, deep knowledge of Kubernetes, service mesh, cloud networking, and agentic AI, plus an established technical presence across open-source communities and social platforms.

Own the post-sale customer lifecycle for enterprise software customers by driving adoption, value realization, retention, and growth. Build executive relationships, develop customer success plans, coordinate cross-functional resources, resolve complex issues, communicate product value, and support renewals through metrics gathering, pricing, quoting, negotiation, and closure.