OuterSignal

AI Engineer

• Build and improve production AI/data pipelines that run across LLMs, APIs, databases, and workflow systems like Temporal, Postgres, ClickHouse, and Kubernetes.
• Design evals and build Jupyter notebooks that help us measure model behavior, data quality, extraction accuracy, and end-to-end customer impact.
• Build observability into AI workflows so we can understand cost, latency, reliability, and quality.
• Experiment with new models, retrieval strategies, structured-output techniques, prompt/program architectures, and model-routing approaches.
• Integrate with fast-changing research and AI APIs, understand their behavior deeply, and build robust abstractions around them.
• Help define the foundation for future inference serving, fine-tuning, dataset generation, and model evaluation infrastructure.

Research Engineer, Applied AI Engineering

Executive Assistant

• Manage the CEO's calendar, travel, and communications — with the judgment to protect time for what matters most and the discretion to handle sensitive information.
• Support the broader executive team on scheduling, logistics, and operational coordination across functions.
• Plan and execute company-wide events and off-sites — from leadership retreats to all-hands — owning the details end to end so the team can show up and focus.
• Prepare materials for internal and external meetings, including agendas, briefing documents, and follow-up summaries.
• Manage vendors, expenses, and administrative workflows that keep the leadership team running efficiently.
• Serve as a reliable point of contact for internal and external stakeholders on behalf of the CEO's office.
• Identify gaps in how the executive team operates and build the processes to close them.

Executive Assistant – CEO

Customer Success Manager

• Own end-to-end onboarding - Lead new brand implementations from kickoff through full activation, ensuring seamless integration and training
• Write onboarding and success playbooks - Build and constantly refine the library of use cases and playbooks that brands can employ to win with OuterSignal
• Develop custom playbooks - Work with each brand to map OuterSignal's insights to their specific use cases
• Train and enable brand teams - Conduct working sessions with founders, marketing, and retention teams so they actually implement winning strategies using OuterSignal data
• Monitor brand health and adoption - Proactively track usage patterns and intervene when brands are underutilizing or struggling
• Resolve customer issues - Serve as first point of contact for questions, troubleshooting, and support escalations
• Drive value realization - Ensure brands see measurable ROI by helping them connect OuterSignal insights to real business outcomes
• Feed product insights internally - Act as voice of the customer, surfacing feature requests and friction points to the team

Research Engineer, Applied AI Engineering

Executive Assistant – CEO

Senior Customer Success Manager