Highspot

1 month ago

Principal Software Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead and design production-scale, agentic AI systems that orchestrate multi-step workflows across enterprise content, including documents, CRM data, and analytics. Own the AI platform architecture, establish patterns and guardrails for safe, independent shipping by multiple teams, and build robust evaluation/observability pipelines for non-deterministic AI. Drive model strategy, cost efficiency, and raise AI engineering standards across the org.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•Design and build agentic AI systems that orchestrate multi-step workflows across heterogeneous enterprise content – documents, CRM data, analytics, and more – to deliver contextual, actionable answers for sales teams.
•Own the AI platform architecture – define the patterns, abstractions, and guardrails that enable multiple engineering teams to ship AI-powered features safely and independently.
•Build evaluation and observability infrastructure for non-deterministic systems – including automated regression testing, LLM-as-judge pipelines, and production quality monitoring – so the team can ship AI features with confidence.
•Drive model strategy and cost efficiency – evaluate and route across model providers, optimize context windows, and make principled latency/quality/cost tradeoffs at enterprise scale.
•Raise the AI engineering bar across the organization – coach engineers on applied AI best practices, build shared tooling, and cultivate a culture where AI fluency is widespread.

Pay and Benefits

Salary: 188,696 - 258,391 annually

Perks:Health InsuranceDentalVision401kPaid LeaveParental LeaveCommuting BenefitsWellness Stipend

Key Requirements

•8+ years of professional software engineering experience, with significant time spent on distributed, data-intensive production systems.
•Strong programming skills in Python, Java, TypeScript, or equivalent. You're comfortable across the stack.
•Experience developing and operating cloud services at enterprise scale (AWS, Azure, or GCP).
•A track record of full product lifecycle ownership – from technical design through iterative shipping to production operation.
•Experience mentoring engineers and building collaborative, high-performing teams.

Experience:8+ yearsEnterprise softwareAIGenerative AIDistributed systems

Skills:LeadershipMentoringCommunicationCross-functional collaborationProblem-solving

Tech Stack:PythonJavaTypeScriptAWSAzureGCPLLMsRetrievalRankingObservabilityMonitoringCloudKubernetesDistributed systemsProduction systems

Company Brief

Highspot

Provides a sales enablement platform that helps revenue teams find, present, and track content, train sellers, and measure engagement to improve sales execution and buyer engagement across the customer lifecycle.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Seattle, United States

Founded: 2012

Website LinkedIn

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Highspot

1 month ago

Principal Software Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•Design and build agentic AI systems that orchestrate multi-step workflows across heterogeneous enterprise content – documents, CRM data, analytics, and more – to deliver contextual, actionable answers for sales teams.
•Own the AI platform architecture – define the patterns, abstractions, and guardrails that enable multiple engineering teams to ship AI-powered features safely and independently.
•Build evaluation and observability infrastructure for non-deterministic systems – including automated regression testing, LLM-as-judge pipelines, and production quality monitoring – so the team can ship AI features with confidence.
•Drive model strategy and cost efficiency – evaluate and route across model providers, optimize context windows, and make principled latency/quality/cost tradeoffs at enterprise scale.
•Raise the AI engineering bar across the organization – coach engineers on applied AI best practices, build shared tooling, and cultivate a culture where AI fluency is widespread.

Pay and Benefits

Salary: 188,696 - 258,391 annually

Perks:Health InsuranceDentalVision401kPaid LeaveParental LeaveCommuting BenefitsWellness Stipend

Key Requirements

•8+ years of professional software engineering experience, with significant time spent on distributed, data-intensive production systems.
•Strong programming skills in Python, Java, TypeScript, or equivalent. You're comfortable across the stack.
•Experience developing and operating cloud services at enterprise scale (AWS, Azure, or GCP).
•A track record of full product lifecycle ownership – from technical design through iterative shipping to production operation.
•Experience mentoring engineers and building collaborative, high-performing teams.

Experience:8+ yearsEnterprise softwareAIGenerative AIDistributed systems

Skills:LeadershipMentoringCommunicationCross-functional collaborationProblem-solving

Tech Stack:PythonJavaTypeScriptAWSAzureGCPLLMsRetrievalRankingObservabilityMonitoringCloudKubernetesDistributed systemsProduction systems

Company Brief

Highspot

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Seattle, United States

Founded: 2012

Website LinkedIn