Principal Search & Recommendation Engineer at Highspot

Seattle, Washington, United States

Highspot Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Sales EnablementIndustries

Requirements

  • 8+ years of experience building and scaling search or recommendation systems in production environments
  • Deep expertise in information retrieval, ranking algorithms, collaborative filtering, and/or neural search techniques
  • Strong programming skills in Python, Java, or Scala; experience with ML and IR frameworks such as Elasticsearch, FAISS, TensorFlow, or PyTorch
  • Familiarity with LLMs, embeddings, and modern vector search infrastructure
  • Proven leadership in cross-functional environments with a track record of mentoring and guiding technical teams
  • Strong grasp of MLOps practices and experience with cloud-native ML infrastructure (e.g., AWS, GCP)

Responsibilities

  • Lead the end-to-end development of modern search and recommendation systems, from architecture to production deployment
  • Drive technical strategy and innovation in search relevance, personalized ranking, semantic search, and ML-powered retrieval/grounding
  • Collaborate with product, design, and data teams to define and deliver intelligent user experiences
  • Influence platform-level decisions on data pipelines, experimentation frameworks, and performance optimization
  • Mentor engineers, foster technical excellence, and promote a culture of learning and innovation

Skills

Machine Learning
Generative AI
Information Retrieval
Semantic Search
Recommendation Systems
Personalized Ranking
Search Relevance
Data Pipelines
Experimentation Frameworks

Highspot

AI-powered sales enablement platform

About Highspot

Highspot provides a sales enablement platform that helps sales teams improve their productivity and efficiency. Its main product, Highspot Copilot, is an AI-powered digital assistant that delivers the right content to sales representatives at the right time, enhancing their ability to engage and convert potential buyers. The platform supports sales teams by managing sales content, preparing reps for different selling scenarios, and facilitating personalized interactions through digital sales rooms. Highspot also includes features for onboarding and training sales reps, ensuring they are well-prepared for real-world situations. Unlike many competitors, Highspot focuses on driving measurable outcomes such as increased win rates and reduced ramp time for sales reps. The goal of Highspot is to empower sales teams to close deals more effectively and generate higher revenue.

Seattle, WashingtonHeadquarters
2012Year Founded
$625.1MTotal Funding
SERIES_FCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Medical, dental, vision, disability, & life benefits
Group Retirement Savings Plan (RRSP)
Matching employer contributions (DPSP) with immediate vesting
3 Weeks of Paid Vacation
Generous Holiday Schedule
Quarterly Recharge Fridays
Flexible work schedules
Professional development opportunities
Discounted ClassPass membership
Access to coaches & therapists
2 Volunteer days per year

Risks

Highspot faces competition from larger rivals like Salesforce and Oracle.
Recent layoffs may impact Highspot's operational efficiency and innovation.
Reliance on AI technologies exposes Highspot to data privacy and ethics concerns.

Differentiation

Highspot offers a unified sales enablement platform with AI-driven features.
The platform integrates content management, training, and engagement intelligence for sales teams.
Highspot Copilot enhances sales productivity with AI-powered digital assistance.

Upsides

Highspot is recognized as a leader in the Forrester Wave report Q3 2024.
The partnership with Krisp enhances voice productivity in remote sales environments.
Highspot's Meeting Intelligence improves real-world coaching for better sales outcomes.

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