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The Discovery team sits at the core of Harmonic’s product and data engine. We make it possible to search, research, analyze, compare, and evaluate across the entire universe of startups. We source and ingest data from first-, second- and third-party sources, including hundreds of fragmented and unstructured sources, and turn them into structured insights and searchable indices. Recently, we built the industry leading agentic layer for startup search and research, that’s unlocking new paradigms for VCs to make sense of this vast amount of data on startups and automate critical tasks in their sourcing and diligence workflows.
Job Responsibility:
Architect the core intelligence behind Scout
Own the end to end architecture of our sourcing engine from data ingestion, ranking, personalization, and model orchestration
Define scalable frameworks for retrieval, reranking, and LLM driven evaluation to ensure we deliver highly personalized and high quality results
Create architectural patterns that integrate Scout seamlessly with our existing products to power repeatable sourcing workflows
Lead agentic experimentation and evaluation
Drive technical discovery for emerging technologies (e.g. memory systems, schema, prompt libraries, embedding models, and agentic frameworks)
Improve and extend our evaluation pipelines to test new models and determine lifts in specific parts of our product
Build systems that allow fast iteration without compromising quality or reliability
Shape AI native product experiences
Partner with product and design to define patterns that make LLM powered sourcing intuitive and fast
Translate ambiguous product goals into scalable technical designs that unblock new workflows for our users
Establish best practices for building AI-first UX patterns (agentic flows, async interactions, structured outputs)
Provide architectural leadership across engineering
Mentor and guide engineers on the team raising the bar for system design, documentation, and technical decision making
Drive clarity in cross team architecture with Flow, Data, and Infra ensuring Sourcing evolves as a cohesive, maintainable system
Set long term technical direction for how we build AI powered sourcing systems
Requirements:
7-8+ YoE building distributed systems or large scale backend architecture
Designed and scaled search, recommendation, or ranking systems that balance precision, recall, and performance
Led or heavily contributed to ML or LLM integrations in production
A track record of technical leadership mentoring others, introducing frameworks, and influencing technical direction
Strong experience with data-intensive systems, asynchronous processing, or event-driven architectures
What we offer:
Top of the line health, dental and vision insurance, with 100% premium covered