Highspot-posted 2 months ago
$166,000 - $248,850/Yr
Full-time • Senior
Seattle, WA
1,001-5,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work - it's about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

  • Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements.
  • Lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability.
  • Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings.
  • Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings.
  • Mentor and collaborate with junior team members to improve their technical skills.
  • Partner cross-functionally across all of Highspot's feature engineering crews, as well as with QA/DevOps/Site-Reliability.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience in developing and deploying machine learning models and systems.
  • Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.).
  • In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing.
  • Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases.
  • Strong problem-solving skills and ability to analyze complex data sets.
  • Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders.
  • An entrepreneurial spirit: you're agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals.
  • Comfortable with modern open source technologies and tools.
  • Passion to learn new technologies and infrastructure.
  • Comprehensive medical, dental, vision, disability, and life benefits.
  • Health Savings Account (HSA) with employer contribution.
  • 401(k) Matching with immediate vesting on employer match.
  • Flexible PTO.
  • 8 paid holidays and 5 paid days for Annual Holiday Week.
  • Quarterly Recharge Fridays (paid days off for mental health recharge).
  • 18 weeks paid parental leave.
  • Access to Coaches and Therapists through Modern Health.
  • 2 volunteer days per year.
  • Commuting benefits.
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