Senior Software Engineer

Company: Highspot

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Product

Business Model: B2B

Funding Stage: Series D+

Industry: Business/Productivity Software

Job Description

About Highspot

Highspot is a leading AI-powered sales enablement platform trusted by global enterprises like DocuSign, Siemens, and FedEx etc... We unify content management, sales playbooks, training, coaching, and buyer engagement into a single intelligent system—helping go-to-market teams drive consistent execution and measurable revenue growth. With over $645M in funding from top investors including Tiger Global, ICONIQ, B Capital, and Salesforce Ventures, Highspot is redefining how sales teams perform at scale.

About The Role

As a Sr. Software Engineer in Search, you will leverage the latest innovation in search / AI technology to improve search relevancy, ranking and recommendations. You will collaborate with key stakeholders (including other product teams and customer-facing teams) to analyze search-related issues and requirements to architect and develop efficient and scalable solutions. You will review, analyze, maintain, and optimize existing search implementations. You will be working with a mix of traditional keyword search techniques, hybrid techniques leveraging embeddings, and other uses of AI technology to optimize results for users. You will rigorously measure and drive the quality of the results. Were looking for highly motivated individuals who work well in a team-oriented, iterative, and fast-paced environment.

Responsibilities

• Develop highly-available distributed services, including improving existing systems.
• Experiment with different techniques to improve search quality, relevance and experiences.
• Help design and develop new search features and functionality.
• Partner cross-functionally with UX and Product Management to create end-to-end experience that customers love
• Write maintainable and testable code
• Contribute to internal and external technical documentation
• Solve problems relating to mission critical services and build automation to prevent problem recurrence
  
  

• 6+ years of relevant professional experience, not including internships/co-ops
• Strong understanding of enterprise search and search architecture.
• Solid experience with search and related technologies such as Solr, ElasticSearch, Lucene.
• Demonstrable experience with schema design, relevancy tuning, boosting and optimization.
• Experience working with cloud services, preferably AWS, Azure.
• Experience with search ranking and machine learning is a big plus