1 year ago
Base Salary
$160k - $250k/yr
Responsibilities
- Build and deploy NLP models at scale for classification, ranking, clustering, topic extraction, and summarization.
- Design end-to-end LLM workflows for topic discovery, brief creation, drafting, revision, and publish-ready content generation.
- Develop brand- and channel-aligned prompt and template libraries with retrieval, evidence grounding, and citations.
- Create evaluation frameworks for generated content using LLM evaluations, human review, and red teaming.
- Instrument AEO and SEO content performance and run experiments to improve quality, cost, latency, engagement, and conversion.
- Transform large text datasets into production features and signals for product insights.
- Partner with engineering on event instrumentation, data pipelines, data quality, and observability.
- Collaborate with product, data, and go-to-market teams on success metrics and customer-facing experiments.
Requirements
- Proven experience shipping production machine learning systems at scale, especially with large text data.
- Hands-on experience building LLM content systems involving prompting, templating, retrieval or RAG, guardrails, and evaluations.
- Fluency in SQL and strong Python skills with modern machine learning tooling.
- Strong understanding of machine learning and generation-quality metrics, including offline and online evaluation and monitoring.
- Ability to develop innovative solutions when off-the-shelf approaches do not fit.
- Experience working effectively in cross-functional, high-performance teams and communicating with technical and non-technical partners.
- Comfort with ownership, autonomy, responsibility, and fast-paced early-stage company environments.
- Interest in owning product analytics and shaping usage measurement and product decisions.
Benefits
- Onsite work in the New York City or San Francisco office.
- Equity and a full range of benefits and perks.
- Competitive total compensation package.
Categories
About Profound
Profound builds a SaaS marketing intelligence platform that helps enterprise brands measure and improve how they appear in AI-driven discovery across tools like ChatGPT and Perplexity. The product delivers real-time visibility analytics, competitive intelligence, and optimization insights for search-like AI channels. The company is privately held, headquartered in New York, and is Series C–funded.