Sr. Principal Software Engineer - Applied AI at Highspot

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Sales Enablement, AIIndustries

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle; technical designs, fast shipping, iterative implementation, and successful product launches
Experience and passion for mentoring and encouraging collaborative teams
Experience in cultivating a strong engineering culture in an agile environment

Responsibilities

Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Grow, coach, build and scale talent on the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives
Apply Generative AI to deliver Agentic capabilities in Highspot, growing and scaling the AI expertise on the team, setting the direction for Generative AI work, coordinating across multiple engineering teams, and coaching team members
Work with machine learning experts, data scientists, the leadership team, and product managers to drive the team's technical direction with planned AI engineering investments, to prioritize high-impact business outcomes and to deliver on new opportunities
Be the leader for Generative AI and Agentic solutions on the team, solving hard technical problems to achieve business outcomes

Skills

Key technologies and capabilities for this role

Generative AIAgentic AIContext EngineeringMachine LearningAI EngineeringSoftware Engineering

Questions & Answers

Common questions about this position

What experience is required for this Principal Software Engineer role?

Candidates need 2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems, plus 8+ years as a professional software developer.

What is the salary or compensation for this 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 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.

What makes a strong candidate for this Applied AI engineer position?

A strong candidate has experience shipping Agentic AI into distributed, data-intensive production systems, a great understanding of Generative AI best practices, and the ability to lead, coach, and scale AI talent while driving technical direction.

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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