Staff Research Engineer β RRI Harness
Own and evolve a Python multi-agent runtime for long-running AI research, improve agent behavior through experiments, and build evaluation, resilience, and observability systems for production deployments.
Own and evolve a Python multi-agent runtime for long-running AI research, improve agent behavior through experiments, and build evaluation, resilience, and observability systems for production deployments.
Lead applied research on recursive self-improvement, setting the agenda and building experiments that help an autonomous research engine improve its methods and deliver measurable gains in production.
Own Sequenβs technology partner lifecycle, building relationships and joint go-to-market motions with cloud and data platforms to generate measurable pipeline and revenue.
Own the full lifecycle of Global System Integrator partnerships, building joint go-to-market and delivery plans that activate partners and generate measurable pipeline and revenue.
Build defensible ROI analyses and financial value models that connect ranking performance to customer revenue, margin, and cost-to-serve outcomes, while helping enterprise buyers justify investment.
Lead and scale a regional enterprise sales team, owning hiring, coaching, quota delivery, forecasting, and strategic pursuits while shaping the sales playbook and go-to-market approach.
Build and optimize Sequenβs AI-powered go-to-market engine by automating prospect outreach, developing target audiences, and measuring multi-channel programs that generate qualified pipeline.
Build and lead Sequenβs Field Engineering organization, developing its team, technical pre-sales playbook, and operating model while driving strategic enterprise evaluations and shaping go-to-market.
Lead technical sales for enterprise customers, partnering with Account Executives to demonstrate ranking technology, run proof-of-value evaluations, and secure technical wins through complex sales cycles.
Build and operate the production ML platform, enabling low-latency model serving, reliable evaluation and deployment, and scalable infrastructure for internal research teams.
Design and optimize Rust-based model-serving infrastructure and real-time performance systems, delivering reliable, low-latency APIs and scalable backend services for ranking and recommendation workloads.
Design and deploy production ranking, recommendation, embedding, and retrieval systems for enterprise customers, owning the ML lifecycle from data pipelines and model serving to monitoring, experimentation, and customer outcomes.
Own full-cycle enterprise sales and account expansion across Fortune 500 retailers, marketplaces, and travel companies, leading complex technical evaluations and building ROI cases for AI ranking solutions.
Leads Sequenβs marketing function and company-wide strategy, building enterprise positioning, demand generation, ABM, content, and marketing operations to grow pipeline and revenue for its AI platform.
Build and scale high-throughput distributed backend systems, set platform architecture and technical direction, and partner with product, ML engineering, and research teams to launch capabilities for enterprise-scale AI ranking.
Own customer deployments of Sequen AI, guiding enterprise teams from API integration and experimentation to reliable production use while translating customer needs into product improvements and long-term success.
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