People.ai

People.ai

People.ai offers a generative AI solution designed to enhance revenue operations and intelligence by automating manual tasks, analyzing account and deal health, and providing prescriptive coaching recommendations to optimize human productivity and driv...

IT Services
251-1K
Founded 2016
$200M raised

Description

  • Take end-to-end ownership of projects from requirements gathering through design, implementation, testing, deployment, monitoring, and maintenance.
  • Build and evolve the live Forecasting product by defining and delivering features grounded in real customer feedback.
  • Collaborate with business teams and customers through discovery and exploration calls to inform product direction and requirements.
  • Collaborate across engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations.
  • Design and build high-performance, low-latency systems and APIs that scale efficiently and improve operational costs using customer insights and data analysis.
  • Follow and promote software design and development best practices across the team.
  • Ensure code quality and reliability through appropriate unit test coverage, integration testing, and load testing.
  • Document design decisions and operational knowledge, and maintain robust alerting, dashboards, and runbooks for production services.
  • Operate autonomously within an independent team and drive features from conception to production shipping.

Requirements

  • 7+ years of professional experience working on backend systems in an enterprise environment.
  • 2+ years of programming experience in Python (2.x/3.x), Scala, or Java.
  • Experience with SOA, microservices, and event-driven architecture.
  • Experience with enterprise-grade stacks for scalable web apps, including messaging brokers, in-memory storage, and key-value databases.
  • Strong knowledge of TDD, unit testing, and automated test paradigms.
  • Experience with SQL and RDBMS solutions.
  • Experience with containerized applications, Docker, and Kubernetes.
  • DevOps mindset with AWS experience as a plus.
  • Experience with LLMs is a plus and experience with large-scale data processing (Spark) is a plus.
  • Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related discipline.

Benefits

  • Remote contract role (Europe).
  • Work at a well-funded, VC-backed startup (backed by Y Combinator and top investors).
  • Company recognition and stability (top 20% of Inc 5000, G2 category leader, Forbes America's Best Startup Employers).
  • Highly independent and autonomous engineering culture that values ownership.
  • Opportunity to directly impact company revenue and work with enterprise customers and large-scale, patented AI datasets.

Interested in this position?

Apply directly on the company website

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