Manager Solutions Engineering

Tenet3

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profile Job Location:

Dayton, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Who We Are

Tenet3 is a digital knowledge management company based in Dayton Ohio. We have deep roots in cybersecurity system trustworthiness and software/hardware assurance. We develop software products involving advanced machine learning and property graph representations to enhance human cognition. Tenet3 is a recognized leader in creating novel solutions for managing knowledge about complex systems. Our capabilities put data in context so that teams can generate meaningful insights. We leverage our knowledge management platform MeTRA and sophisticated AI/ML tooling to rapidly build digital knowledge graphs using open data standards that make them accessible and usable across the lifecycle. Tenet3 is growing by applying our knowledge management platform to systems assurance cybersecurity and engineering change analyses.

Why Work Here

At Tenet3 our employees contributions are highly visible valued and rewarded. Be part of a team that supports both your personal and professional growth. Our team thrives in a collaborative growth-oriented environment where were continuously pushing the boundaries of whats possible. If youre looking to work in a place that combines cutting-edge technology with a strong sense of culture and team spirit and amazing benefits then we are the place for you!

The Role

We are seeking a Supervisor within our Solutions team who possesses a blend of deep technical MBSE expertise and disciplined programmatic leadership. You will lead a team of Solutions Engineers ensuring that technical execution not only meets high engineering standards but also aligns with contractual requirements budget constraints and delivery schedules.

In this role you will bridge the gap between high-level program strategy and technical execution. You will be responsible for overseeing the development of robust scalable models ensuring technical traceability and driving the adoption of automation (Python) within our engineering workflows. The ideal candidate is a technical leader with a deep background in systems thinking and the ability to manage complex programs within the GovCon and commercial framework.

Essential Responsibilities

  • Serve as the final technical reviewer for all MBSE artifacts ensuring adherence to MeTRA standards and internal modeling benchmarks
  • Lead the design of component-level solutions and ensure that abstract requirements are successfully translated into executable traceable designs
  • Oversee the integration of Python-based automation within the MBSE lifecycle to streamline data analysis and model validation
  • Ensure all technical outputs align with client mission objectives and contractual milestones
  • Manage team capacity and the allocation of engineers across various sessions and retrospectives
  • Act as the primary technical point of contact for clients translating complex modeling data into clear actionable stories for non-technical leadership
  • Directly supervise and coach early-career Solutions Engineers providing guidance on technical tools and professional technical communication
  • Conduct regular 1-on-1s perform evaluations and foster a culture of continuous learning and feedback

Required Skills & Qualifications

  • Security Clearance: Eligibility to obtain and maintain a DoD Top Secret security clearance.
  • Systems Expertise: 10 years in Systems Engineering or Solutions Architecture preferably with MBSE tools and the SysML language.
  • Management Experience: 5 years of experience in a supervisory or lead role specifically managing technical individual contributors.
  • Programmatic Experience: 3 years of experience in a lead or management role with a proven track record of managing technical delivery against contract milestones.
  • Automation Literacy: Ability to oversee and validate Python-based automation workflows. You should be able to review code logic and ensure scripts align with programmatic data requirements.
  • Systems Thinking: Demonstrated ability to view problems through a holistic lens to understand how individual components affect the total system performance.

Education

Bachelors degree in computer science electrical engineering mechanical engineering civil engineering mathematics physics or a related technical field. Masters Degree and PMP certification are both highly desirable.

Benefits

At Tenet3 we offer a comprehensive benefits package designed to support both your personal and professional well-being:

  • Generous Paid Time Off: Including PTO sick days and floating holidays to help you recharge.
  • Comprehensive Health Coverage: 100% paid medical vision and dental insurance for you and your family.
  • Retirement Plan: 401(k) with company match
  • Educational Support: Reimbursement for higher education conferences and self-study programs to support your continued learning.
  • Disability & Life Insurance: Short-term and long-term disability along with life insurance.
  • Flexible Work Hours: Flex time to accommodate your work-life balance.


Tenet3 provides equal employment opportunities to all employees and applicants for employment. Equal employment opportunity applies to all terms and conditions of employment including hiring placement promotion termination layoff recall transfer leave of absence compensation and training.


Required Experience:

Manager

Who We AreTenet3 is a digital knowledge management company based in Dayton Ohio. We have deep roots in cybersecurity system trustworthiness and software/hardware assurance. We develop software products involving advanced machine learning and property graph representations to enhance human cognition....
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Key Skills

  • Organizational Management
  • Presentation Skills
  • Agile
  • SAFe
  • AWS
  • Solution Architecture
  • Conflict Management
  • Data Management
  • Scrum
  • Team Management
  • Pre-sales
  • Management Consulting

About Company

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Tenet3 provides zero-day vulnerability detections, microelectronic chip inspections, and quantitative cyber risk assessments via model-based system engineering.

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