Jobs at Cognitiv

Build and operate Cognitiv’s core backend platform for real-time bidding and campaign execution. Own features end to end from design through deployment, write reliable and well-tested production code, improve observability and service reliability, participate in on-call and post-mortems, and contribute to system design. Collaborate across teams, facilitate planning, mentor junior team members, and help evolve high-scale campaign management systems.

Design, deliver, and operate scalable .NET Core backend services and APIs for an AI-driven advertising platform. Lead technical design, improve reliability and observability, conduct post-mortems, review code, mentor engineers, document architecture, and collaborate with Product and Engineering leadership. The role focuses on distributed systems, high-throughput workloads, partner integrations, performance, security, and platform growth.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.

Design and maintain low-latency, high-throughput feature pipelines (batch, streaming, point-in-time), optimize large-scale deep learning training pipelines, integrate embeddings/LLMs for real-time serving, and establish monitoring, testing, and CI/CD standards. Partner with modeling, data science, and infrastructure teams to improve serving latency, training throughput, reliability, and scalability of ad-serving systems.

Design, build, and own backend services and APIs in .NET Core on AWS to power ContextGPT integrations. Drive partner and data-center integrations, resolve scaling challenges, improve performance and reliability, and take end-to-end ownership from design through production operations while collaborating with internal teams and external partners.

Lead research-to-product work on LLM and embedding-driven AdTech features: generate product ideas, prototype with LLMs and embeddings, advance context/persona/embedding models, and take validated concepts end-to-end into production while partnering across research, engineering, product, and marketing.

Drive applied research and development of deep learning and LLM-based solutions for recommendation systems and real-time bidding. Prototype, train, fine-tune, and deploy production-grade ML models, optimize scalability and performance, and collaborate with engineering, product, and platform teams to deliver large-scale AdTech ML systems.

Build AI-enabled automation, reporting, and forecasting for Finance. Automate recurring processes, develop real-time decision-support reporting, lead budgeting and three-year financial modeling, manage cash flow and liquidity, and partner cross-functionally to deliver actionable insights to leadership.