Principal Search & Recommendation Engineer at Highspot

Seattle, Washington, United States

Apply Now

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

Key technologies and capabilities for this role

Machine LearningGenerative AIInformation RetrievalSemantic SearchRecommendation SystemsPersonalized RankingSearch RelevanceData PipelinesExperimentation Frameworks

Questions & Answers

Common questions about this position

What is the salary for this Principal Search & Recommendation Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this role?

Candidates need 8+ years building and scaling search or recommendation systems, deep expertise in information retrieval, ranking algorithms, collaborative filtering, and/or neural search techniques, strong programming skills in Python, Java, or Scala, and experience with ML and IR frameworks such as Elasticsearch, FAISS, TensorFlow, or PyTorch.

What is the company culture like at Highspot?

Highspot focuses on creating equitable workspaces where everyone feels a deep sense of belonging, is empowered to be an agent of change, and can transform themselves, their workplace, and their world. They promote a culture of learning and innovation through mentoring and technical excellence.

What makes a strong candidate for this position?

A strong candidate has proven leadership in cross-functional environments with mentoring experience, familiarity with LLMs, embeddings, vector search, and MLOps on cloud infrastructure like AWS or GCP, plus nice-to-haves like published IR/ML work or experimentation expertise.

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