Highspot

Sr. Director Engineering, Search and AI

Seattle, Washington, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates must have at least 8 years of experience as a professional software developer and 4 years as an engineering manager. A minimum of 2 years of experience in machine learning-related areas is required, along with a strong understanding of machine learning design patterns and best practices. Experience in deploying machine learning models into distributed, data-intensive production systems is essential.

Responsibilities

The Senior Director of Engineering will coordinate with the data science team and product and engineering leadership to identify the needs of machine learning work. They will build and scale the machine learning team, lead the production of ML models with a focus on scalability and reliability, and continuously improve existing ML models. The director will also build data pipelines for model training, create a labeling system for supervised training, contribute to product ideation, and communicate complex concepts effectively to various audiences.

Skills

Machine Learning
ML
Software Development
Engineering Management
Machine Learning Design Patterns
Distributed Systems
Data Intensive Systems

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.

Key Metrics

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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