Manager, Product Insights

Jobtailor

Virginia (IL)

On-site

USD 150,000 - 210,000

Full time

7 days ago
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Job summary

Jobtailor seeks a Lead Product Insights Engineer to head the hosting, integration, and delivery of platform-based products. You will build and mentor a high-performing team, set strategic tech direction, and design scalable hosting architectures with robust monitoring.

Collaborate across product, platform, AI/analytics, and partner teams to align requirements and remove cross-team roadblocks. Expect hands-on involvement and a focus on reliability, performance, and customer impact.

Qualifications

  • Bachelor’s degree in computer science, engineering, or related technical field, or equivalent practical experience.
  • Minimum eight years of professional experience in software engineering, including complex distributed, autonomous, or mission-critical systems.
  • At least two years leading engineering teams as a people manager or technical lead with formal leadership responsibilities.
  • Minimum two years managing or leading high-performing engineering teams, including hiring, capacity planning, mentoring, and cross-functional collaboration.
  • Experience designing and building scalable production software solutions and architectures.
  • Hands-on experience with AWS EKS, S3, EC2, Aurora/RDS, SQS, SNS, Batch, and related cloud services.
  • Excellent communication skills and ability to bridge technical teams and non-technical business units.
  • Some programs may require U.S. citizenship
  • Preferred: Master’s degree or higher in a relevant technical field
  • Preferred: 10+ years of professional engineering experience, including high-availability or mission-critical software leadership
  • Preferred: 2+ years in the geospatial industry
  • Preferred: MLOps and DataOps knowledge and experience
  • Preferred: Distributed compute experience with Kubernetes and Dask
  • Preferred: Strong Python or Golang proficiency and production software experience in data ETL, microservices, geospatial, data analytics, or cloud deployment
  • Preferred: Knowledge of system safety, fault tolerance, redundancy, and recovery strategies
  • Preferred: Experience partnering with Product, Sales, and Executive leadership to align roadmaps with business goals
  • Preferred: Experience aligning engineering execution with commercial production SLAs and program-specific requirements
  • Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain required U.S. Department of State authorizations for ITAR compliance

Responsibilities

  • Lead the Product Insights engineering team focused on product hosting, partner product integration, and platform-based product delivery.
  • Build, develop, and retain a high-performing engineering team.
  • Set technical strategy and roadmap for the Product Insights team.
  • Design and implement product hosting architectures, including pipeline execution, versioning, reliability, and monitoring.
  • Collaborate with product, platform, AI/analytics, imagery, and partner engineering teams to define requirements and priorities.
  • Identify and remove cross-team roadblocks involving product ingestion, data availability, platform constraints, and partner integration.
  • Maintain technical involvement through code reviews, architectural decisions, and occasional hands-on development.
  • Foster continuous improvement, technical excellence, product reliability, and customer impact.
  • Identify risks, bottlenecks, and opportunities to accelerate product delivery.
  • Support sprint planning, team capacity management, and roadmap development.
  • Perform other responsibilities as assigned

Skills

Leadership
Cross-functional collaboration
Mentoring
Excellent communication
Capacity planning
Team building
Strategic thinking

Education

Bachelor's degree in CS or related field
Master’s degree preferred

Tools

Kubernetes
Dask
Python
Golang
AWS

Job description


  • Lead the Product Insights engineering team focused on product hosting, partner product integration, and platform-based product delivery

  • Build, develop, and retain a high-performing engineering team

  • Set technical strategy and roadmap for the Product Insights team

  • Design and implement product hosting architectures, including pipeline execution, versioning, reliability, and monitoring

  • Collaborate with product, platform, AI/analytics, imagery, and partner engineering teams to define requirements and priorities

  • Identify and remove cross-team roadblocks involving product ingestion, data availability, platform constraints, and partner integration

  • Maintain technical involvement through code reviews, architectural decisions, and occasional hands-on development

  • Foster continuous improvement, technical excellence, product reliability, and customer impact

  • Identify risks, bottlenecks, and opportunities to accelerate product delivery

  • Support sprint planning, team capacity management, and roadmap development

  • Perform other responsibilities as assigned


Requirements


  • Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience

  • Minimum eight years of professional experience in software engineering, including complex distributed, autonomous, or mission-critical systems

  • At least two years leading engineering teams as a people manager or technical lead with formal leadership responsibilities

  • Minimum two years managing or leading high-performing engineering teams, including hiring, capacity planning, mentoring, and cross-functional collaboration

  • Experience designing and building scalable production software solutions and architectures

  • Hands-on experience with AWS EKS, S3, EC2, Aurora/RDS, SQS, SNS, Batch, and related cloud services

  • Excellent communication skills and ability to bridge technical teams and non-technical business units

  • Some programs may require U.S. citizenship

  • Preferred: Master’s degree or higher in a relevant technical field

  • Preferred: 10+ years of professional engineering experience, including high-availability or mission-critical software leadership

  • Preferred: 2+ years in the geospatial industry

  • Preferred: MLOps and DataOps knowledge and experience

  • Preferred: Distributed compute experience with Kubernetes and Dask

  • Preferred: Strong Python or Golang proficiency and production software experience in data ETL, microservices, geospatial, data analytics, or cloud deployment

  • Preferred: Knowledge of system safety, fault tolerance, redundancy, and recovery strategies

  • Preferred: Experience partnering with Product, Sales, and Executive leadership to align roadmaps with business goals

  • Preferred: Experience aligning engineering execution with commercial production SLAs and program-specific requirements

  • Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain required U.S. Department of State authorizations for ITAR compliance


Core Competencies

Demonstrates expertise in leading high-performing engineering teams, designing scalable production software solutions, and implementing product hosting architectures. Proficient in cloud services and capable of bridging technical and non-technical teams to drive product delivery and strategic alignment.


Highest-signal resume keywords


  • Leadership In Engineering Teams

  • AWS Cloud Services

  • Scalable Software Architecture

  • Python Or Golang Proficiency

  • MLOps And DataOps Knowledge


ATS Optimization Keywords

Hard Skills


  • Software Engineering

  • Distributed Systems

  • Product Hosting Architecture

  • Data ETL

  • Microservices

  • Cloud Deployment

  • Kubernetes

  • Dask

  • Technical Strategy

  • Capacity Planning


Soft Skills


  • Excellent Communication

  • Cross-Functional Collaboration

  • Mentoring


Industry Keywords


  • Geospatial Industry

  • High-Availability Systems

  • Mission-Critical Software

  • ITAR Compliance


Tools & Technologies


  • AWS EKS

  • AWS S3

  • AWS EC2

  • AWS Aurora/RDS

  • AWS SQS

  • AWS SNS

  • AWS Batch

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