Salesforce

2 months ago

Forward Deployed Engineering Lead - Data Science & Integration

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior forward-deployed engineer leading data science pipelines, integration architectures, and AI/ML deployments on-site with government customers. Hands-on coding, enterprise integration (MuleSoft, Regrello), and collaboration with mission owners to deliver scalable data solutions in defense, intelligence, and aerospace contexts.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Serve as forward-deployed technical lead on high-profile customer engagements—designing, building, and deploying tailored data science and integration solutions for defense, intelligence, and aerospace missions on-site.
•Architect and implement enterprise integration solutions using MuleSoft Anypoint Platform or equivalent iPaaS tooling across REST, SOAP, and event-driven patterns within secure environments.
•Design and deploy workflow automation solutions leveraging Regrello or equivalent orchestration tooling to model complex operational processes and surface data-driven insights.
•Lead integration of AI/ML models, custom data pipelines, and automation flows enabling predictive maintenance and mission-critical logistics decisions.
•Work with customer IT and security teams to accelerate Authority to Operate (ATO) and production go-lives per DoD IL5/IL6 and applicable regulatory frameworks.

Travel: Extensive travel

Pay and Benefits

Salary: USD 172,500 - 260,100 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveParential LeaveLearning Budget

Key Requirements

•8+ years of hands-on, end-to-end delivery experience in customer-facing or field-deployed settings.

Experience:8+ yearsDefenseGovernmentDoDICAerospace

Skills:CommunicationLeadershipProblem-solvingCustomer-facingMentoring

Certifications:MuleSoft CertifiedDatabricks CertifiedAWS/GCP/Azure Data or ML Engineer Certifications

Languages:English

Tech Stack:PythonJavaSQLMuleSoftMuleSoft Anypoint PlatformRegrelloLangChainLlamaIndexAPIsMLOpsSnowflakeDatabricksBigQueryRedshiftDockerKubernetesApache AirflowTemporalBo̧omiApigee

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:TS/SCIClearance required

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Salesforce

2 months ago

Forward Deployed Engineering Lead - Data Science & Integration

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Serve as forward-deployed technical lead on high-profile customer engagements—designing, building, and deploying tailored data science and integration solutions for defense, intelligence, and aerospace missions on-site.
•Architect and implement enterprise integration solutions using MuleSoft Anypoint Platform or equivalent iPaaS tooling across REST, SOAP, and event-driven patterns within secure environments.
•Design and deploy workflow automation solutions leveraging Regrello or equivalent orchestration tooling to model complex operational processes and surface data-driven insights.
•Lead integration of AI/ML models, custom data pipelines, and automation flows enabling predictive maintenance and mission-critical logistics decisions.
•Work with customer IT and security teams to accelerate Authority to Operate (ATO) and production go-lives per DoD IL5/IL6 and applicable regulatory frameworks.

Travel: Extensive travel

Pay and Benefits

Salary: USD 172,500 - 260,100 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveParential LeaveLearning Budget

Key Requirements

•8+ years of hands-on, end-to-end delivery experience in customer-facing or field-deployed settings.

Experience:8+ yearsDefenseGovernmentDoDICAerospace

Skills:CommunicationLeadershipProblem-solvingCustomer-facingMentoring

Certifications:MuleSoft CertifiedDatabricks CertifiedAWS/GCP/Azure Data or ML Engineer Certifications

Languages:English

Tech Stack:PythonJavaSQLMuleSoftMuleSoft Anypoint PlatformRegrelloLangChainLlamaIndexAPIsMLOpsSnowflakeDatabricksBigQueryRedshiftDockerKubernetesApache AirflowTemporalBo̧omiApigee

Eligibility

Nationality:US National

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:TS/SCIClearance required

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor