
201 - 500 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
People. ai is a company that revolutionizes revenue strategies using artificial intelligence (AI). They offer a comprehensive solution, SalesAI, which integrates generative AI to automate tasks, assess account health, and provide coaching recommendations. Their platform enhances customer relationship management (CRM) through automated data capture and analysis, making sales processes more efficient. People. ai serves industries such as high tech, life sciences, and telecommunications, aiming to optimize go-to-market (GTM) strategies and improve revenue outcomes for sales, revenue operations, enablement, and marketing teams.
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201 - 500 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
People. ai is a company that revolutionizes revenue strategies using artificial intelligence (AI). They offer a comprehensive solution, SalesAI, which integrates generative AI to automate tasks, assess account health, and provide coaching recommendations. Their platform enhances customer relationship management (CRM) through automated data capture and analysis, making sales processes more efficient. People. ai serves industries such as high tech, life sciences, and telecommunications, aiming to optimize go-to-market (GTM) strategies and improve revenue outcomes for sales, revenue operations, enablement, and marketing teams.
• Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics. • Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows. • Develop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives. • Scale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs. • Collaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions. • Follow and promote software development best practices, delivering clean, maintainable, and well-monitored code. • Build internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner. • Ensure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.
• 5+ years of professional experience building backend systems in an enterprise environment • 2+ years of experience programming in Python or Scala • Experience with distributed systems and service-oriented architecture (SOA) • Experience with large-scale data processing frameworks (Spark, Hive, Hadoop, MapReduce, or similar) • Experience with stream processing technologies such as Kafka, Apache Samza, or Apache Storm • Experience with Elasticsearch is a plus • Experience with LLMs or NLP is a plus • Familiarity with analytical databases and ETL pipeline design • Strong analytical and problem-solving skills with a track record of delivering elegant, practical solutions • Experience taking ownership in an unfamiliar or legacy codebase and incrementally improving it • Strong inclination toward automation and reducing manual operational toil
• Work with a cross-functional team of engineers and product managers to deliver high-quality software • Flexible work arrangements • Professional development opportunities
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