Highspot is hiring a

Principal Software Engineer, AI and Machine Learning

Seattle, United States
Full-Time
About Highspot
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.

About The Role
Highspot’s Science team is chartered with Inventing the Future by developing and using emerging technology, including artificial intelligence, to deliver maximum customer value. As a Principal Engineer you will work end-to-end to identify technical risks and opportunities, deeply understand the problem space, and then invent, prototype, build, and ship working solutions. The ideal candidate will be both strong in identifying and understanding the business case around using an emerging technology. As well as developing a high quality proof of concept that can be quickly tech transferred to engineering teams and shipped to customers. Some of the technologies we use include large language models (both hosted and internal), PyTorch, Kubernetes, Kafka, Cassandra, LangChain, Python, C++ and TypeScript.

What You'll Do

  • Develop new product features and functionality
  • Explore emerging technologies and their application to Highspot customers
  • Build, train and deploy machine learning models
  • Work with large language models - both training, prompting, and defining algorithms to use them
  • Develop REST/gRPC APIs and web services
  • Develop highly available distributed services
  • Create architecture and design documents
  • Partner cross-functionally with engineering, UX and product management to create the best software possible
  • Write maintainable and testable code

Your Background

  • 7+ years of experience and proficiency in delivering large-scale, highly distributed systems that are designed to be resilient, and easily consumable from a wide array of frontend devices
  • Embraces the entrepreneurial spirit, priding yourself on getting things done with a high level of quality
  • Able to learn new technologies quickly and then put them into practice with high quality
  • Resilient in the face of uncertainty and excited by the unknown
  • Comfortable with modern open source technologies and tools
  • Background in artificial intelligence and machine learning a plus but not a requirement
  • B.S./M.S. in Computer Science or equivalent industry experience

Base salary range: $222,609 - $333,913 annually. Employees may also be eligible for bonuses, stock options, and other forms of compensation.

The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.

Highspot also offers the following employee benefits for this position:
-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
-Professional development opportunities through LinkedIn Learning
-Access to Coaches and Therapists through Modern Health
-2 volunteer days per year
-Commuting benefits


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Equal Opportunity Statement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.

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