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, content briefs, outlines, drafts, revision loops, and publish-ready assets.
- Develop brand- and channel-aligned prompt and template libraries with retrieval for evidence-grounded generation and citations.
- Create evaluation frameworks covering factuality, coverage, tone, safety, and originality, including rubric-based LLM evaluations, human review, and red teaming.
- Instrument content performance across AEO and SEO visibility, engagement, and conversion, and run experiments to improve quality, cost, and latency.
- Transform large text datasets into production features and signals that support 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 experiments tied to customer-facing KPIs.
Requirements
- Proven experience shipping machine learning systems in production at scale, particularly with large text datasets.
- Hands-on experience building LLM content systems using prompting, templating, retrieval or RAG, guardrails, and evaluations.
- Fluency in SQL and strong Python skills with modern machine learning tooling.
- Ability to design offline and online evaluations and monitoring using machine learning and generation quality metrics.
- Ability to develop innovative solutions when off-the-shelf tools do not fit the problem.
- Experience collaborating in cross-functional, high-performance teams.
- Clear communication with technical and non-technical partners.
- Comfort with ownership, autonomy, responsibility, and a fast-paced environment.
- Interest in shaping product analytics, usage measurement, and product decision-making.
Benefits
- On-site work in the NYC or San Francisco office
- Equity and a full range of benefits and perks
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.