Applied Industrial Technologies

11 months ago

Engineering Manager - Data Intelligence

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Engineering Manager leading a Data Intelligence team focused on building data quality systems, labeling workflows, and data mining infrastructure to accelerate autonomy development. Drive adoption of foundation models, scale data pipelines, and align roadmap with model training, evaluation, and deployment milestones.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Grow and manage a team of engineers to deliver high-quality, well-labeled data and identify critical edge cases for autonomy
•Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
•Lead the integration of foundation models to automate labeling, quality assurance, and data discovery
•Evolve the data engine architecture to scale high-fidelity labels and accelerate ML iteration cycles
•Set team goals and roadmap in alignment with training, evaluation, and deployment requirements

Pay and Benefits

Salary: USD 204,000 - 343,000 annually

Perks:Health InsuranceDentalVision401kLearning StipendWellness Stipend

Key Requirements

•3+ years of engineering management experience
•Experience building data quality systems, labeling pipelines, or annotation platforms at scale
•Familiarity with modern ML infrastructure and data-centric AI approaches
•Understanding of how foundation models can be applied to automate data workflows
•Solid track record of building and deploying products

Experience:3+ yearsAutonomyMachine learningData engineering

Skills:LeadershipMentoringCommunicationCollaborationPeople management

Tech Stack:LLMsVLMsMultimodal modelsAnnotation pipelinesFoundation modelsData quality systems

Company Brief

Applied Industrial Technologies

Applied Industrial Technologies is a distributor of industrial products and services, supplying bearings, power transmission, fluid power, safety products, and engineered solutions to maintenance, repair and operations customers and OEMs.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn

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Applied Industrial Technologies

11 months ago

Engineering Manager - Data Intelligence

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Grow and manage a team of engineers to deliver high-quality, well-labeled data and identify critical edge cases for autonomy
•Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
•Lead the integration of foundation models to automate labeling, quality assurance, and data discovery
•Evolve the data engine architecture to scale high-fidelity labels and accelerate ML iteration cycles
•Set team goals and roadmap in alignment with training, evaluation, and deployment requirements

Pay and Benefits

Salary: USD 204,000 - 343,000 annually

Perks:Health InsuranceDentalVision401kLearning StipendWellness Stipend

Key Requirements

•3+ years of engineering management experience
•Experience building data quality systems, labeling pipelines, or annotation platforms at scale
•Familiarity with modern ML infrastructure and data-centric AI approaches
•Understanding of how foundation models can be applied to automate data workflows
•Solid track record of building and deploying products

Experience:3+ yearsAutonomyMachine learningData engineering

Skills:LeadershipMentoringCommunicationCollaborationPeople management

Tech Stack:LLMsVLMsMultimodal modelsAnnotation pipelinesFoundation modelsData quality systems

Company Brief

Applied Industrial Technologies

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn