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Product Manager
eNGINE
New York, us
Role Overview eNGINE is hiring two Senior Product Managers to lead the end-to-end implementation of AI and Machine Learning solutions---espe...
$160k – $235k/year Apply Now
Sr Accountant
Houston Methodist
Houston, TX
Qualifications Bachelor’s degree in accounting, finance or related field Three years experienc...
Pay not listed Apply Now
Part Time Sales - Weekly Pay
Vector Marketing
Bushnell, FL
Vector Marketing is actively interviewing candidates for part-time sales representative positions. Our sales representatives are customer ser...
Pay not listed Apply Now
Partner Marketing Manager/Sr/Dir
Cisive
Augusta, ME
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the...
Pay not listed Apply Now
Data Scientist
Deloitte
Columbus, OH
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, ...
Pay not listed Apply Now
Innovation Software Engineer
Huntington
Columbus, OH (+18 others)
Will be responsible for developing and deploying innovation solutions such as building applications, APIs, UI screens, scripts, and workflow ...
Pay not listed Apply Now
Nurse Ambassador (RN)
Kabilah
Boston, Massachusetts
You will champion our technology on the ground in your local area, working directly with nursing teams to bring Kabilah to life as the most ...
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Peer Support Specialist
Crestwood Behavioral Health
us
About this job Title:Peer Support Specialist Job overview Job Duties:Peer Support Specialists are people in a peer-designated role providing...
$21.00 – $21.00/hr Apply Now
Service Coordinator | Mental Health Case Manager
Crestwood Behavioral Health
us
About this job Title:Service Coordinator (Mental Health Case Manager) Job overview Job Duties: The Service Coordinator (Mental Health Case M...
$23.00 – $26.00/hr Apply Now
Java Engineer - Workplace Services Engineering
Charles Schwab
Austin, TX
Position Overview At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, inno...
$111k – $140k/year Apply Now
Product Manager

Role Overview eNGINE is hiring two Senior Product Managers to lead the end-to-end implementation of AI and Machine Learning solutions---especially LLM-driven capabilities---into real busin...

$160k – $235k/year Apply Now

Role Overview
  • eNGINE is hiring two Senior Product Managers to lead the end-to-end implementation of AI and Machine Learning solutions---especially LLM-driven capabilities---into real business workflows.
  • These roles are focused on execution, not theory. You will own the delivery of AI-powered products from initial concept through production deployment, ensuring they are successfully embedded into day-to-day operations and drive measurable impact. This includes working across multiple teams in a pod-based, high-throughput delivery model, where speed, quality, and scalability all matter.
  • We are specifically looking for individuals who have hands-on experience applying AI/LLMs to solve business problems and have successfully brought those solutions into production environments.
Responsibilities
  • End-to-End AI Product Delivery
    • Own the lifecycle of AI/ML products from ideation, design, development, and deployment into production
    • Drive implementation of LLM-powered solutions that enhance internal workflows and user productivity
    • Partner with engineering and data teams to ensure scalable, reliable AI integrations
    • Make tradeoff decisions balancing model performance, cost, latency, and user experience
  • Product Ownership & Execution
    • Manage and prioritize product backlogs across multiple AI initiatives
    • Write clear user stories, acceptance criteria, and product specifications for AI-driven features
    • Ensure continuous delivery of value through iterative releases and rapid feedback loops
    • Assess release readiness and maintain a high bar for quality and usability
  • Agile / Factory-Style Delivery
    • Operate within a structured, pod-based delivery model focused on throughput and execution
    • Lead agile ceremonies including sprint planning, backlog grooming, and retrospectives
    • Track team velocity and identify opportunities to optimize delivery efficiency
    • Coordinate across teams to ensure consistent and predictable release cycles
  • AI / LLM Implementation
    • Translate business needs into practical AI use cases leveraging LLMs and ML models
    • Collaborate on prompt design, model selection, evaluation, and iteration
    • Ensure AI solutions are usable, reliable, and embedded into real workflows
    • Monitor and improve model performance and user outcomes post-deployment
  • Product Strategy & Roadmap
    • Define and manage a near-term roadmap focused on AI enablement across the organization
    • Align product initiatives with business goals and measurable outcomes
    • Clearly communicate priorities, tradeoffs, and progress to stakeholders
  • Customer & Data-Driven Insights
    • Engage with end users to understand how AI can improve their workflows
    • Define and track KPIs related to product adoption, performance, and impact
    • Use data to continuously refine product direction and prioritization
  • Stakeholder Management
    • Act as a central point of coordination across product, engineering, data science, and business teams
    • Provide clear and consistent communication on progress, risks, and delivery outcomes
Qualifications
  • 5 years of Product Management experience in software development environments
  • Proven experience delivering AI/ML products, with strong exposure to LLM-based solutions
  • Demonstrated ability to take products from concept through production deployment
  • Experience implementing technology directly into business workflows or operational environments
  • Strong experience in agile, pod-based, or high-throughput delivery models
  • Ability to manage multiple concurrent initiatives and backlogs
  • Experience writing product requirements, user stories, and specifications
Preferred Experience
  • Hands-on experience with platforms such as OpenAI, Hugging Face, or similar LLM ecosystems
  • Familiarity with prompt engineering, evaluation frameworks, and AI observability
  • Experience with cloud platforms like Amazon Web Services or Microsoft Azure
  • Background in data-driven or analytics-heavy product environments
  • Exposure to CI/CD pipelines and modern DevOps practices
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