Software Engineer - Revenue Stories

5 days ago

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People.ai

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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.

SaaS • CRM • Enterprise • Sales • Marketing

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

📋 Description

People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai’s unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. They have a comprehensive list of top Fortune 500 companies that rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own. As a Software Engineer on the Revenue Stories team, you will enhance and maintain scalable LLM inference pipelines that transform communications into actionable deal assessments and insights. You will build new AI-driven capabilities, improve monitoring and debugging efficiency, and optimize pipeline scalability. Collaboration with cross-functional teams to align solutions with business needs is essential.

🎯 Requirements

3+ years professional experience developing distributed systems in a cloud environment (AWS preferred). Strong experience analyzing large structured and unstructured datasets. Proficiency with Spark or equivalent big data processing engines (Hive, Hadoop, MapReduce, Storm, Samza). Experience using Large Language Models (LLMs), familiarity with prompting techniques (chain-of-thought, RAG), and knowledge of common market models. Understanding of LLM limitations and strategies to mitigate them. Proven problem-solving abilities, with practical and elegant coding solutions. Passionate about engineering excellence—advocates for high-quality, reliable, and maintainable software. Experience improving existing codebases, automation, and tooling for operational efficiency. Bachelor’s Degree in Computer Science, Computer Engineering, or closely related discipline. Nice to Have: Familiarity with Elasticsearch and Kafka. Experience with fine-tuning or advanced inference techniques for LLMs.