Lead Forward Deployed Engineering - Data Science & Integration @Salesforce
Software Development
Salary $172,500 - $260..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 1mth ago

[Hiring] Lead Forward Deployed Engineering - Data Science & Integration @Salesforce

1mth ago - Salesforce is hiring a remote Lead Forward Deployed Engineering - Data Science & Integration. 💸 Salary: $172,500 - $260,100 annually 📍Location: USA

Role Description

We believe technology should serve the greater good—powering mission outcomes, stewarding taxpayer resources, and enabling innovation at speed and scale. We are seeking a highly accomplished and senior-level Forward Deployed Engineer (FDE) to join our elite Public Sector team. This is a unique and high-impact position, blending the roles of a hands-on data scientist, integration architect, and strategic partner embedded directly with customers.

In this role, you will be the primary driver for bringing cutting-edge data science pipelines, intelligent automation, and enterprise integration solutions to life for mission-critical work across the U.S. Department of Defense, Intelligence Community (IC), and Aerospace & Allied Nations.

This role demands a seasoned technologist who thrives working forward-deployed at customer sites, building bespoke solutions leveraging enterprise workflow orchestration platforms such as Regrello and API-led connectivity platforms such as MuleSoft, while also designing and delivering advanced AI/ML systems.

You will work directly with mission owners and internal teams—from initial concept through deployment and ongoing optimization—to solve the most complex data and integration challenges in national security environments.

Qualifications

  • 8+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions, ideally in customer-facing or field-deployed settings.
  • Strong background in Computer Science, Data Science, or a related engineering discipline.
  • Expert-level proficiency in one or more programming languages (e.g., Python, Java, SQL).
  • Extensive hands-on experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex).
  • Demonstrated expertise in enterprise integration platforms and API-led connectivity design, with experience in tools such as MuleSoft Anypoint Platform, Dell Boomi, Apigee, Azure API Management, or equivalent; direct MuleSoft experience is a plus.
  • Demonstrated expertise in workflow orchestration and process automation platforms, with experience in tools such as Regrello, Temporal, Prefect, Apache Airflow, or equivalent; direct Regrello experience is a plus.
  • Deep expertise in data modeling, processing, and analytics with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
  • A "get-things-done" attitude with a proven ability to deliver fast and impactfully in ambiguous, customer-site environments.
  • Exceptional communication and presentation skills—able to articulate complex data science and integration concepts to both technical and non-technical mission stakeholders.
  • Proven ability to lead technical engagements, mentor junior FDEs, and own technical delivery end-to-end.
  • Ability to travel 50-75% of the time to customer sites, including classified facilities.
  • Must be a U.S. citizen (U.S. born or naturalized) living on U.S. soil who does not hold dual citizenship.
  • Eligible for and willing to obtain a U.S. Security Clearance.

Requirements

  • Serve as the 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 platforms such as MuleSoft Anypoint Platform or equivalent iPaaS tooling—including API design, development, and management across REST, SOAP, and event-driven integration patterns within secure customer environments.
  • Design and deploy workflow automation solutions—leveraging platforms such as Regrello or equivalent orchestration tooling—to model complex operational processes, coordinate cross-functional teams, and surface data-driven insights at key mission decision points.
  • Lead integration of AI/ML models, custom data pipelines, and automation flows that enable predictive maintenance, personnel planning, 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.
  • Partner with internal product and engineering teams to co-develop integration patterns and data science capabilities informed by frontline customer feedback.
  • Enable customers to adopt modern data platforms and integration middleware for field operations, asset visibility, command center analytics, and secure operational workflows.
  • Mentor junior FDEs and share lessons learned with the broader engineering community to shape playbooks, integration templates, and reusable data science assets for government innovation.
  • Translate mission priorities into actionable data and integration roadmaps aligned with agency strategy, presenting findings and recommendations to senior stakeholders.

Benefits

  • Time off programs
  • Medical, dental, vision, mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Lead Forward Deployed Engineering - Data Science & Integration @Salesforce
Software Development
Salary $172,500 - $260..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 1mth ago
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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