TeamSense

πŸ‘₯ 11-50πŸ’° Seed 10 months agoInformation ServicesInformation TechnologySoftwareπŸ’Ό Private Company
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TeamSense empowers organizations to better engage and enable their hourly workforce through app-free digital tools. We've carved a unique niche in the HR tech landscape, focusing on improving communication, streamlining processes, and boosting employee satisfaction for hourly workers across North America and beyond. Our tech stack includes Ruby on Rails, Python, and various cloud technologies like Amazon S3 and Azure, supporting our microservices architecture. We champion a collaborative and fully remote work environment, fostering a culture of innovation and growth. TeamSense is a fast-growing company, having secured seed funding and expanding our product offerings constantly. We pride ourselves on building solutions that are not only robust and scalable but also intuitive and user-friendly. Join us in revolutionizing the way companies connect with their hourly workforce. Our engineering team is building the next generation of our platform, focusing on API standardization, data-driven insights, and the integration of cutting-edge technologies. We embrace declarative programming, prioritize robust testing, and encourage collaboration through knowledge sharing. We also actively invest in exploring and implementing leading-edge technologies like Generative AI to enhance the user experience and broaden our offerings. We're a passionate team of problem-solvers who value continuous learning and a healthy work-life balance. Our benefits package includes comprehensive health insurance, generous PTO, and a remote work budget to ensure our employees have the support they need to succeed both personally and professionally. We are committed to creating a diverse and inclusive workplace where every voice is heard and valued. TeamSense has received recognition for its innovative approach to hourly workforce management and continues to expand its market share. We're seeking talented and passionate individuals to join us on this journey. We offer a competitive salary and benefits package, a fully remote and flexible work environment and opportunities for professional growth within a rapidly scaling company.

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πŸ“ US, Canada, Mexico

🧭 Full-Time

πŸ’Έ 160000.0 USD per year

πŸ” Technology, specifically digital tools for hourly employees

  • Minimum 6 years of experience designing, building, and supporting large-scale systems in production.
  • Deep knowledge of Python, or Go; Rust is a plus.
  • Experience designing and building distributed Public and Private web services and APIs.
  • Strong technical understanding of database architecture and hands-on experience with data modeling.
  • Experience in queues, scheduling, event-driven architecture, and workload distribution.
  • Strong SQL skills and experience with relational, non-relational, and columnar databases (e.g. Postgres/Mongo/Redshift).
  • Experience working with product, sales, customer success/support.

  • Own data modeling, schema, metadata, and implementation of the assigned service.
  • Build a family of first-class APIs that enable integration, workflows, and other key services.
  • Contribute to migration of existing monolith to microservices/serverless functions.
  • Build a high-performance, scalable and secure TeamSense platform.

DockerPythonSQLKubernetesAzureData StructuresGoPostgresServerlessTerraformMicroservices

Posted 15 days ago
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πŸ“ US, Canada, Mexico

πŸ’Έ 180000.0 - 235000.0 USD per year

πŸ” Digital tools for hourly employees

  • Minimum qualifications include 10 years as an engineer, preferably with a platform engineering background.
  • Hands-on industry or academic research experience with LLM/GenAI.
  • Experience in NLP, Knowledge Graphs, Conversational Agents, or Personalization is necessary.
  • Deep knowledge of Python is required, with Rust as a bonus.

  • You'll be part of a small team responsible for TeamSense’s Agentic AI development.
  • Build multi-agent workflows.
  • Own the end-to-end design and implementation of Agents.
  • Train and retrain models; optimize them for performance.
  • Educate and influence Platform & Data engineering to be LLM-aware.

LeadershipPythonSoftware DevelopmentArtificial IntelligenceMachine LearningNLTKNumpyRustMentoringAttention to detailCoaching

Posted 17 days ago
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