
51 - 200 employees
Founded 2013
📣 Marketing
📱 Media
☁️ SaaS
💰 $1.2M Venture Round - Sightly on 2015-12
Marketing • Media • SaaS
Sightly is an AI-native advertising and media technology company that provides contextual and cultural intelligence to optimize digital media campaigns. Its Brand Mentality platform turns brand DNA into a real-time decision engine for marketing activation across YouTube, TikTok, Connected TV, and the open web. Sightly offers managed-service and self-service media solutions, decision-intelligence data products, and direct data deals, and is a Google Premier Partner and a TikTok Marketing Partner with integrations for video-level targeting, brand suitability controls, trend monitoring, and content-level audience targeting.
🔥 1 hour ago
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51 - 200 employees
Founded 2013
📣 Marketing
📱 Media
☁️ SaaS
💰 $1.2M Venture Round - Sightly on 2015-12
Marketing • Media • SaaS
Sightly is an AI-native advertising and media technology company that provides contextual and cultural intelligence to optimize digital media campaigns. Its Brand Mentality platform turns brand DNA into a real-time decision engine for marketing activation across YouTube, TikTok, Connected TV, and the open web. Sightly offers managed-service and self-service media solutions, decision-intelligence data products, and direct data deals, and is a Google Premier Partner and a TikTok Marketing Partner with integrations for video-level targeting, brand suitability controls, trend monitoring, and content-level audience targeting.
• Help clients understand how to use Sightly’s MCP in their AI workflows • Translate client needs into clear MCP use cases and agent workflows • Support demos, pilots, onboarding, and technical discovery • Work with Product and Engineering to define new MCP tools and improvements • Troubleshoot tool call issues, integration problems, and unexpected agent behavior • Create documentation, examples, and best practices for clients • Act as the bridge between client technical teams and Sightly’s internal teams
• Strong understanding of MCP and how it differs from a traditional API • Hands-on experience with Claude, OpenAI, or similar LLM platforms • Familiarity with AI agents, tool calling, prompts, context windows, and structured outputs • Ability to understand tool schemas, parameters, logs, and common integration issues • Comfortable reading Python or backend code well enough to trace issues • Strong communication skills with both technical and non-technical audiences • Ability to turn vague client requests into clear workflows and implementation steps
• Flexible work arrangements • Professional development opportunities
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