Full-Time
Contextual AI
51-200 employees
Develops customized language models for enterprises
No salary listed
Senior
Company Does Not Provide H1B Sponsorship
Mountain View, CA, USA
Upload your resume to see how it matches 6 keywords from the job description.
PDF, DOC, DOCX, up to 4 MB
- 5+ years of experience in product marketing, developer relations, technical marketing, or similar roles in the AI/ML space or a related field
- Strong technical background with a deep understanding of AI/ML technologies
- Proven track record of creating content for developer and technical decision-maker audiences
- Experience managing technical social media channels and building online communities
- Excellent writing skills with the ability to explain complex concepts clearly
- Strong strategic and analytical skills to work effectively in a fast-paced environment
- Bachelor's degree in Computer Science, Engineering, Marketing, Business, or related field, or equivalent experience
- Partner closely with Product, Engineering, and Research teams to understand technical capabilities and translate them into compelling narratives that resonates with our target audience
- Develop and execute content strategies across all channels that clearly communicate the technical and business value propositions of our enterprise AI platform
- Create high-quality written content across various formats (blog posts, whitepapers, case studies, webpages, user guides, and more) that demonstrate our platform’s capabilities and help AI engineers implement our solutions
- Build and manage our developer-focused social media presence, writing posts that drive community growth and engagement with AI engineers and technical decision-makers
- Script and oversee production for product demonstrations, video tutorials, and webinars
- Analyze market trends, competitor offerings, and customer needs in the AI/ML space to inform our marketing strategy
- Create sales assets that support sales enablement and productivity, including pitch decks, solution briefs, reference architectures, ROI calculators, and competitive battlecards
- Measure our marketing performance across various channels, making data-driven recommendations for improvement
- Portfolio of technical content writing samples and social posts preferred
Contextual.ai develops customized language models specifically designed for businesses. Their approach involves pre-training, fine-tuning, and integrating AI components to create reliable systems that enhance workflows and decision-making. The company serves clients in sectors like financial research and customer engineering, providing tailored AI solutions that unlock the potential of artificial intelligence in their operations. A key feature of Contextual.ai is the Kahneman Tversky Optimization (KTO) method, which allows for efficient alignment of large language models with enterprise data, achieving high performance without the need for preference data. Led by a team with experience from top AI institutions, Contextual.ai aims to address real-world challenges through advanced AI solutions while continuously improving and innovating to meet customer needs.
Company Size
51-200
Company Stage
Series A
Total Funding
$100M
Headquarters
San Francisco, California
Founded
2023
Simplify's Take
What believers are saying
- Partnership with Google Cloud enhances AI capabilities and service offerings.
- $80M Series A funding supports expansion of production-grade LLMs.
- GLM model achieves highest factual accuracy, outperforming Google and OpenAI.
What critics are saying
- Over-reliance on Google Cloud may increase operational risks.
- Competition from Microsoft's Orca-Math model challenges market position.
- Rapid AI advancements by competitors may pressure innovation cycles.
What makes Contextual AI unique
- Contextual AI specializes in customized language models for enterprise use.
- Kahneman Tversky Optimization aligns large language models efficiently with enterprise data.
- Leadership includes veterans from top AI institutions like Stanford and Facebook AI Research.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 4%1 year growth
↑ 5%2 year growth
↑ 19%Contextual AI, an enterprise AI leader, has launched the Contextual AI Platform as a Snowflake Native App on the Snowflake Marketplace.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Contextual AI unveiled its grounded language model (GLM) today, claiming it delivers the highest factual accuracy in the industry by outperforming leading AI systems from Google, Anthropic and OpenAI on a key benchmark for truthfulness.The startup, founded by the pioneers of retrieval-augmented generation (RAG) technology, reported that its GLM achieved an 88% factuality score on the FACTS benchmark, compared to 84.6% for Google’s Gemini 2.0 Flash, 79.4% for Anthropic’s Claude 3.5 Sonnet and 78.8% for OpenAI’s GPT-4o.While large language models have transformed enterprise software, factual inaccuracies — often called hallucinations — remain a critical challenge for business adoption. Contextual AI aims to solve this by creating a model specifically optimized for enterprise RAG applications where accuracy is paramount.“We knew that part of the solution would be a technique called RAG — retrieval-augmented generation,” said Douwe Kiela, CEO and cofounder of Contextual AI, in an exclusive interview with VentureBeat. “And we knew that because RAG is originally my idea. What this company is about is really about doing RAG the right way, to kind of the next level of doing RAG.”The company’s focus differs significantly from general-purpose models like ChatGPT or Claude, which are designed to handle everything from creative writing to technical documentation
WEKA partners with Contextual AI to boost data infrastructure for advanced Contextual Language Models.
I consent to receiving email communications and marketing material from Contextual AI
Contextual AI, a Mountain View-based startup, raised $80 million in a Series A funding round led by Greycroft, with participation from Bain Capital Ventures and Lightspeed. The company's valuation is estimated at around $609 million by PitchBook. CEO Douwe Kiela, formerly of Meta, aims to scale the use of retrieval augmented generation (RAG) technology with the new funds.