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Scowtt Tech Stack

AI agents for lead conversion and sales automation

Technology, Information and Internet Kirkland, WASHINGTON 11–50 employees Founded 2024 Privately Held

Scowtt uses Python + PyTorch + TensorFlow on GCP and AWS to build AI agents that predict purchase intent and automate lead engagement. The tech stack (ML frameworks + serverless + Salesforce/HubSpot integrations) reflects a product that sits between CRM and ad platforms, routing real-time signals back to Google and Meta bidders. Active hiring spans engineering, data, and support across junior-to-staff levels, with onboarding velocity and churn reduction dominating the project roadmap—a sign they're moving from early wins to product-market fit scaled.

What Scowtt Is Building

Challenges

  • Onboarding new customers quickly and cleanly
  • Improving conversion rates
  • Reducing onboarding time
  • Reducing churn risk
  • Expanding usage over time

Active Projects

  • Marketing ai
  • Ai sales agent
  • Next-generation conversion and value prediction models
  • Llm fine-tuning for ai sales agents
  • Continuous training and monitoring systems
  • Onboarding engine
  • Onboarding playbooks
  • Ai agent integration with external tools
  • Scalable aws solutions

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering
3
Support
2
Data
1

Seniority

Junior
2
Mid
2
Senior
1
Staff
1
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About Scowtt

Scowtt is a sales and marketing AI platform founded in 2024 that targets mid-market and enterprise companies seeking to improve lead conversion and ROAS. The product has two core components: a marketing AI layer that scores leads and feeds purchase-intent signals to ad platforms, and an AI sales agent that engages leads 24/7 and routes high-confidence prospects to human reps. The platform integrates with Salesforce, HubSpot, Google Ads, and Meta, pulling CRM and site analytics data to inform real-time bidding and outreach. The company is US-based with 11–50 employees.

HeadquartersKirkland, WASHINGTON
Company Size11–50 employees
Founded2024
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Scowtt use?

Python, PyTorch, TensorFlow, GCP, AWS, BigQuery, Node.js, Next.js, TypeScript, Salesforce, HubSpot, Twilio, AWS Lambda, DynamoDB, and PostgreSQL.

What is Scowtt working on?

Active projects include marketing AI, AI sales agents, conversion and value prediction models, LLM fine-tuning for agents, continuous training systems, and customer onboarding automation.

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