Machinify

3 months ago

Staff AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Technical Data Product Manager leading the data product roadmap across legacy systems and modern platform migrations. Partners with data engineering, data science, and platform teams to deliver data products and capabilities for healthcare payments, leveraging SQL, lakehouse architectures, real-time processing, and AI-powered automation to accelerate value delivery.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define and track the data product roadmap and OKRs, translating business priorities into data product requirements and coordinating with technical leadership to sequence initiatives.
•Drive cross-functional delivery across data engineering, data science, platform engineering, and product teams from requirements through production.
•Unblock dependencies, bottlenecks, and blockers to accelerate team velocity and deliver measurable value.
•Translate complex technical architectures into business outcomes and ensure downstream product teams can consume data platform capabilities through clear interfaces and documentation.
•Partner with VP Data Engineering, CTO, and architecture leads to evaluate lakehouse adoption, real-time processing capabilities, and AI-powered automation to modernize data infrastructure.

Pay and Benefits

Salary: USD 180,000 - 260,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityRsusRemote WorkPaid Leave

Key Requirements

•10+ years of total professional experience.
•5+ years in product management roles.
•Prior hands-on experience as data engineer, data scientist, or analytics engineer (required).
•Proven track record shipping data products or platforms used by internal/external teams.
•Experience driving execution in matrixed organizations without direct authority.

Experience:10+ yearsHealthcareHealthcare paymentsData platforms

Skills:CommunicationLeadershipProblem-solvingStakeholder managementInfluencing

Languages:English

Tech Stack:SQLPythonAWSS3SparkRDSDMSGlueAirflowDBTSnowflakeDatabricksKafkaFivetranDelta LakeIcebergLakehouseLLMAI

Company Brief

Machinify

Provides AI-driven predictive maintenance and asset-monitoring solutions for manufacturing and industrial operations, using IoT sensor data and machine learning to reduce downtime, optimize performance, and extend equipment life.

Industry: Industrial Automation

Website

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Machinify

3 months ago

Staff AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define and track the data product roadmap and OKRs, translating business priorities into data product requirements and coordinating with technical leadership to sequence initiatives.
•Drive cross-functional delivery across data engineering, data science, platform engineering, and product teams from requirements through production.
•Unblock dependencies, bottlenecks, and blockers to accelerate team velocity and deliver measurable value.
•Translate complex technical architectures into business outcomes and ensure downstream product teams can consume data platform capabilities through clear interfaces and documentation.
•Partner with VP Data Engineering, CTO, and architecture leads to evaluate lakehouse adoption, real-time processing capabilities, and AI-powered automation to modernize data infrastructure.

Pay and Benefits

Salary: USD 180,000 - 260,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityRsusRemote WorkPaid Leave

Key Requirements

•10+ years of total professional experience.
•5+ years in product management roles.
•Prior hands-on experience as data engineer, data scientist, or analytics engineer (required).
•Proven track record shipping data products or platforms used by internal/external teams.
•Experience driving execution in matrixed organizations without direct authority.

Experience:10+ yearsHealthcareHealthcare paymentsData platforms

Skills:CommunicationLeadershipProblem-solvingStakeholder managementInfluencing

Languages:English

Tech Stack:SQLPythonAWSS3SparkRDSDMSGlueAirflowDBTSnowflakeDatabricksKafkaFivetranDelta LakeIcebergLakehouseLLMAI

Company Brief

Machinify

Industry: Industrial Automation

Website