Distyl

1 month ago

AI Engineer, Enterprise Lead

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Senior technical leader responsible for the technical success of Distyl’s enterprise AI deployments, owning multi-team engagements, setting architecture and evaluation strategies, developing technical leaders, and delivering durable business value across complex customer environments.

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams
•Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow
•Develop Forward Deployed AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership
•Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery
•Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements

Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
•Multi-team technical leadership across multiple teams, workstreams, accounts, or senior engineers with ability to align teams
•Talent development, coaching Tech Leads, senior ICs, and emerging leaders; building a talent-dense engineering team
•Enterprise technical ownership; ability to reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations
•AI-native working style; daily use of AI tools to write and debug code, explore designs, analyze data, automate repetitive work, and improve leverage

Experience:8+ yearsEnterprise AIAI deploymentsTechnology

Skills:LeadershipCommunicationMentoringArchitectureDebugging

Languages:English

Tech Stack:AIDistributed systemsCloud

Company Brief

Distyl

Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Distyl

1 month ago

AI Engineer, Enterprise Lead

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams
•Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow
•Develop Forward Deployed AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership
•Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery
•Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements

Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
•Multi-team technical leadership across multiple teams, workstreams, accounts, or senior engineers with ability to align teams
•Talent development, coaching Tech Leads, senior ICs, and emerging leaders; building a talent-dense engineering team
•Enterprise technical ownership; ability to reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations
•AI-native working style; daily use of AI tools to write and debug code, explore designs, analyze data, automate repetitive work, and improve leverage

Experience:8+ yearsEnterprise AIAI deploymentsTechnology

Skills:LeadershipCommunicationMentoringArchitectureDebugging

Languages:English

Tech Stack:AIDistributed systemsCloud

Company Brief

Distyl

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2022

Website LinkedIn Glassdoor