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<h3>Job Description</h3>
Job Description
Job Title: AI Engineer Location: Boston MA 02115 Duration: 12-month contract Shift: 1st&nbsp;Shift M-F
*MUST BE LOCAL, CANNOT PROVIDE ANY VISA SPONSORSHIP OR C2C*
<ul>
<li>Must be W-2 employee NO C2C</li>
<li>Hybrid 3 days onsite</li>
</ul>
Overview: The implementation of AI systems across the University presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment. To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise-grade AI systems and their supporting data pipelines university-wide. These specialized positions will enable automation of routine functions across the institution and power the wide and expanding array of AI-based institutional initiatives, while creating a stronger foundation for future AI adoption throughout the global campus network. The specialized knowledge required—spanning data pipeline engineering, machine learning implementation, and AI system operations—is distinct from traditional IT roles. By establishing these positions now, the university will strengthen its position at the forefront of AI adoption in higher education, enhancing student experiences, accelerating research capabilities, and improving administrative efficiency across all university functions. These roles represent both a strategic investment in the university's future and a fiscally responsible approach to institutional advancement through technological innovation. Qualifications:
<ul>
<li>AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices.</li>
<li>Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices.</li>
<li>Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices.</li>
<li>Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production.</li>
<li>Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications.</li>
<li>Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services.</li>
<li>Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards.</li>
<li>System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences.</li>
<li>Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments.</li>
<li>Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks.</li>
<li>Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications.</li>
<li>AI Ethics and Governance: Understanding of ethical considerations in AI development, including bias mitigation, fairness, transparency, and compliance with relevant regulations.</li>
<li>Problem-Solving: Exceptional problem-solving skills to troubleshoot complex AI system issues and optimize performance in real-world applications.</li>
<li>Project Management: Ability to manage AI development projects, prioritize tasks, and deliver solutions on schedule and within scope.</li>
<li>Cross-functional Collaboration: Demonstrated ability to work effectively with diverse stakeholders, translating business requirements into technical specifications and explaining technical concepts to non-technical audiences.</li>
<li>Communication Skills: Excellent verbal and written communication skills to document systems, present findings, and collaboration with cross-functional teams.</li>
<li>Experience with AI system implementation in higher education or similar complex organizational settings preferred</li>
</ul>
REQUIREMENTS:
<ul>
<li>Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred.</li>
<li>5+ years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments.</li>
</ul>
Company DescriptionConnexion Systems &amp; Engineering is a full-service staffing firm, whose mission is to provide "best in class" staffing services to our clients and job seekers alike. We strive to achieve excellence in staffing, job placement and recruiting services, while treating our clients, employees, and candidates with the professionalism and respect they deserve. 
<h3>Company Description</h3>
Connexion Systems &amp; Engineering is a full-service staffing firm, whose mission is to provide "best in class" staffing services to our clients and job seekers alike. We strive to achieve excellence in staffing, job placement and recruiting services, while treating our clients, employees, and candidates with the professionalism and respect they deserve.

AI Engineer (Hybrid)

<h3>Job Description</h3>
Job Description
About NYNE 
NYNE Mechanical, a division of NECI, is a team of talented problem solvers who can see beyond the immediate effect of a breakdown to the root cause. Our entrepreneurial culture encourages and rewards those who can think like our clients and make recommendations to improve their uptime performance.
Here’s What You’ll Get 
<ul>
<li>Highly competitive Medical, Dental, and Vision Insurance</li>
<li>Flexible Spending or Health Savings Accounts</li>
<li>Accrued Vacation Time</li>
<li>10 Paid Holidays</li>
<li>12 Paid Weeks Maternity Leave</li>
<li>Pet Insurance</li>
<li>Retirement Savings: 401(k) and Employee Stock Ownership Plan</li>
<li>Employee Referral Bonus</li>
<li>Professional Development Reimbursement</li>
<li>Company Paid STD, LTD, and Life Insurance</li>
</ul>
Are you mechanically inclined, detail-oriented, and ready to roll up your sleeves in a fast-paced field service environment? Do you thrive on solving problems with your hands, your head, and high-end equipment? Join our growing team as a Field Service Technician—where your work has real impact, and your skills are valued and developed.
In this hands-on role, you’ll be responsible for inspecting, diagnosing, repairing, and testing safety valves, actuators, and other automated valve systems both in the field and in our shop. You’ll make critical safety and quality decisions on the job while ensuring real-time documentation and customer satisfaction.
What You’ll Be Doing
Field &amp; Shop Valve Service
<ul>
<li>Perform teardown, repairs, assembly, calibration, and diagnostics of safety pressure relief valves (PRVs), isolation valves, and actuators.</li>
<li>Ensure all service work meets ASME Code, NBIC, and customer-specific safety and quality requirements.</li>
<li>Execute field jobs including rigging, scaffolding, welding, machining, and electrical support as needed.</li>
<li>Maintain shop tools, equipment, trucks, and trailers in top condition.</li>
</ul>
Technical Evaluation &amp; Repair
<ul>
<li>Conduct pre-tests, disassembly, sandblasting, and cleaning; document evaluations using photos and videos.</li>
<li>Determine root cause of valve failures and recommend repair strategies—parts, machining, welding, or replacement.</li>
<li>Execute repair work using manuals, drawings, and specifications, documenting each step clearly.</li>
<li>Perform final inspections, packaging, and shipping of all finished products.</li>
</ul>
Inventory &amp; Tooling
<ul>
<li>Identify and track needed parts, tools, and consumables for daily and field operations.</li>
<li>Assist with inventory management including cycle counts and shelf stocking.</li>
<li>Recommend upgrades to improve safety and efficiency in service operations.</li>
</ul>
Documentation
<ul>
<li>Complete real-time digital documentation in the shop and field: work orders, inspection reports, quality and test data, time tracking, and customer reports.</li>
<li>Ensure customer asset tagging and digital records are accurately managed.</li>
<li>Participate in pre-job safety checklists and compliance reporting.</li>
</ul>
What You Bring
<ul>
<li>Associate degree in a mechanical discipline or equivalent hands-on experience.</li>
<li>Ability and willingness to travel extensively thoughout New England.</li>
<li>Strong mechanical aptitude and curiosity to learn more.</li>
<li>Ability to work flexible hours including overtime, weekends, and travel on short notice.</li>
<li>Comfortable operating heavy equipment like forklifts and cranes (or willing to learn).</li>
<li>Familiarity with rigging and safely handling awkward, heavy products.</li>
<li>Strong communication skills—both written and verbal.</li>
<li>Tech-savvy with Microsoft 365 and quick to pick up new software.</li>
<li>Physically fit to handle standing, kneeling, lifting up to 50 lbs, and working in tight or elevated spaces.</li>
</ul>
Why Join Us?
<ul>
<li>Diverse Hands-On Work – No two days are the same.</li>
<li>Growth Opportunity – We invest in your training and development.</li>
<li>Team-Oriented Culture – You’ll be surrounded by skilled professionals who support each other.</li>
<li>Safety First – We put people before processes—every time.</li>
</ul>
This position has a starting pay rate of $20-$35/hr. 
Must be currently authorized to work in the United States. 
Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of NECI. NECI will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established.
Please Note: NECI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

Field Service Technician

<h3>Job Description</h3>
Job Description
DEKA Research &amp; Development, located in Manchester, NH, is seeking an Engineering Project Manager. In this role, you will drive new product development teams to deliver highly innovative products and solutions in autonomous robots, medical devices, or other devices that improve the lives of others. You will lead by example and have ownership of managing highly complex, technical projects encompassing a diverse group of engineering talent. As the lead for the project, you will interface&nbsp;with world-class corporate partners to understand high-level project goals, translate them into technical requirements, and lead a team to invent, design, develop and transition products to manufacturing.&nbsp; How you will make an impact as an Engineering Project Manager at DEKA:
<ul>
<li>Lead a cross-functional technical team through V&amp;V, clinical trials and commercialization</li>
<li>Translate high-level project goals into system requirements;&nbsp;working with both internal and external project stakeholders</li>
<li>Provide both high-level technical and people leadership to project teams</li>
<li>Drive delivery of aggressive goals while managing project schedule, cost, and resources effectively</li>
<li>Interface with customers and manage relationships to ensure crisp communication and alignment of objectives</li>
<li>Drive day-to-day project activity to achieve results including removing roadblocks to solving technical and other project challenges, managing resource conflicts, upholding high-performance standards, and meeting commitments</li>
<li>Create comprehensive project plans</li>
<li>Work closely with upper management to drive project schedules and resolve roadblocks across all DEKA projects</li>
</ul>
To be successful in this role, you will need the following skills and experience:
<ul>
<li>Bachelor’s Degree in an engineering discipline with a minimum of 5 years leading medical device product development teams solving challenging technical projects</li>
<li>Experience with taking Class III&nbsp;medical devices through clinical trials</li>
<li>Experience with electromechanical products with embedded software</li>
<li>Direct experience leading projects from initial concept through design and release</li>
<li>Must have experience successfully managing schedule, budget, and project resources</li>
<li>Exceptional project management and communication skills (both written and verbal)</li>
<li>High energy, drive, commitment, self-initiative, and perseverance are required with a demonstrated track record</li>
</ul>
About DEKA:
One hour from the beach, Boston, and the mountains, the historic Amoskeag Millyard once housed the largest textile mills in the world. It is now home to DEKA Research and Development, where we are taking the same innovation and cutting-edge technology into the modern age.
Behind DEKA’s brick walls sits a team of professionals who strive to make a difference every day through thoughtful engineering, design, and manufacturing. Here at DEKA, some of the most innovative and life-changing products of our time are created, and new ideas are always welcome and explored.
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y7UlbpFp4r

Engineering Project Manager

<h3>Job Description</h3>
Date Posted:
2025-05-02
Country:
United States of America
Location:
MA802: Marlborough, MA Building 1 1001 Boston Post Road Building 1, Marlborough, MA, 01752 USA
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements: 
Security Clearance: 
DoD Clearance: Secret
Raytheon Company, Managed by Collins Aerospace
Collins Aerospace, an RTX company, is looking for a Principal RF Electrical Engineer. The Hardware Engineering Center (HWEC) is an engineering organization that focuses on product producibility and mission assurance. &nbsp;It is a vital link in the integrated product development process that allows RTX / Collins to introduce reliable new products faster, better, and more economically.
The RF / Microwave Section is located in Marlborough, MA and is part of the Collins Protected Communications Systems business unit. This Section designs and tests RF and Microwave electronic hardware such as frequency references, fixed and agile frequency synthesizers, upcoverters/exciters, downconverters/receivers, low noise amplifiers, and solid state power amplifiers for satellite communication and RADAR systems. Efforts include developing circuits using microstrip/stripline and performing circuit simulations and validation of design models using the Keysight Advance Design System (ADS) and Computer Simulation Technology (CST) at frequencies up to 50 GHz. Our designs satisfy rigorous requirements of Navy, Army, and Air Force programs. The Section also performs technical &amp; cost trade studies, and product selection for commercially available components. All designs incorporate Design for Six Sigma (DFSS) and Design for Manufacturing &amp; Assembly (DFMA) techniques including a high level of simulation and prototyping necessary to validate the simulations and to develop statistical margins.
What You Will Do &nbsp; &nbsp; • Provide recommendations and solutions to a variety of technical problems of appropriate scope and complexity &nbsp; &nbsp; • Work independently or in small groups &nbsp; &nbsp; • Perform design tasks using RF simulation tools &nbsp; &nbsp; • Accept a requirement specification then develop, simulate, document, support, debug, and test various types of RF/Microwave circuit level / board level designs up to 50 GHz with first pass success &nbsp; &nbsp; • Occasional domestic and international travel may be required
Qualifications You Must Have&nbsp; &nbsp; &nbsp; • Emphasis on RF &amp; Microwave design &nbsp; &nbsp; • Extensive experience in simulating microwave circuits (including component &amp; PWB parasitics) &nbsp; &nbsp; • Must be able to design, simulate, and test RF circuits up to 50 GHz using simulation tools; RF circuits include filters, amplifiers, phase locked loops, mixers, etc. &nbsp; &nbsp; • Extensive experience using RF/Microwave test equipment such as a Network Analyzer with calibrations kits, Spectrum Analyzer, Signal Generator, RF Power Meter, Oscilloscope &nbsp; &nbsp; • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience &nbsp; &nbsp; • The ability to obtain and maintain a U.S. government issued security clearance is required&nbsp; &nbsp; &nbsp; • U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
What We Offer &nbsp; &nbsp; • Medical, dental, and vision insurance &nbsp; &nbsp; &nbsp; • Three weeks of vacation for newly hired employees &nbsp; &nbsp; &nbsp; • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option &nbsp; &nbsp; &nbsp; • Tuition reimbursement program&nbsp; &nbsp; &nbsp; • Student Loan Repayment Program &nbsp; &nbsp; &nbsp; • Life insurance and disability coverage &nbsp; &nbsp; &nbsp; • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection&nbsp; &nbsp; &nbsp; • Birth, adoption, parental leave benefits&nbsp; &nbsp; &nbsp; • Ovia Health, fertility, and family planning &nbsp; &nbsp; &nbsp; • Adoption Assistance         &nbsp;&nbsp; &nbsp; &nbsp; • Autism Benefit &nbsp; &nbsp; &nbsp; • Employee Assistance Plan, including up to 10 free counseling sessions &nbsp; &nbsp; &nbsp; • Healthy You Incentives, wellness rewards program&nbsp; &nbsp; &nbsp; • Doctor on Demand, virtual doctor visits &nbsp; &nbsp; &nbsp; • Bright Horizons, child and elder care services&nbsp; &nbsp; &nbsp; • Teladoc Medical Experts, second opinion program &nbsp; &nbsp; • This position is eligible for relocation assistance  &nbsp; &nbsp; • And more! &nbsp;
Learn More &amp; Apply Now!&nbsp;
Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions — whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you’ll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today.&nbsp;
*Please ensure the role type (defined below) is appropriate for your needs before applying to this role.&nbsp; ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. &nbsp;
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. &nbsp; &nbsp; Apply now and be part of the team that’s redefining aerospace, every day. &nbsp;
Employee Referral Eligible &nbsp;
The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms

Principal RF Electrical Engineer (ONSITE)

<h3>Job Description</h3>
Date Posted:
2025-05-02
Country:
United States of America
Location:
MA802: Marlborough, MA Building 1 1001 Boston Post Road Building 1, Marlborough, MA, 01752 USA
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements: 
Security Clearance: 
DoD Clearance: Secret
Raytheon Company, Managed by Collins Aerospace
Collins Aerospace, an RTX company, is looking for a Senior RF Electrical Engineer. The Hardware Engineering Center (HWEC) is an engineering organization that focuses on product producibility and mission assurance. &nbsp;It is a vital link in the integrated product development process that allows RTX / Collins to introduce reliable new products faster, better, and more economically.
The RF / Microwave Section is located in Marlborough, MA and is part of the Collins Protected Communications Systems business unit. This Section designs and tests RF and Microwave electronic hardware such as frequency references, fixed and agile frequency synthesizers, upcoverters/exciters, downconverters/receivers, low noise amplifiers, and solid state power amplifiers for satellite communication and RADAR systems. Efforts include developing circuits using microstrip/stripline and performing circuit simulations and validation of design models using the Keysight Advance Design System (ADS) and Computer Simulation Technology (CST) at frequencies up to 50 GHz. Our designs satisfy rigorous requirements of Navy, Army, and Air Force programs. The Section also performs technical &amp; cost trade studies, and product selection for commercially available components. All designs incorporate Design for Six Sigma (DFSS) and Design for Manufacturing &amp; Assembly (DFMA) techniques including a high level of simulation and prototyping necessary to validate the simulations and to develop statistical margins.
What You Will Do &nbsp; &nbsp; • Provide recommendations and solutions to a variety of technical problems of appropriate scope and complexity &nbsp; &nbsp; • Work independently or in small groups &nbsp; &nbsp; • Perform design tasks using RF simulation tools &nbsp; &nbsp; • Accept a requirement specification then develop, simulate, document, support, debug, and test various types of RF/Microwave circuit level / board level designs up to 50 GHz with first pass success &nbsp; &nbsp; • Occasional domestic and international travel may be required
Qualifications You Must Have&nbsp; &nbsp; &nbsp; • Experience in simulating microwave circuits (including component &amp; PWB parasitics) &nbsp; &nbsp; • Must be able to design, simulate, and test RF circuits up to 50 GHz using simulation tools; RF circuits include filters, amplifiers, phase locked loops, mixers, etc. &nbsp; &nbsp; • Experience using RF/Microwave test equipment such as a Network Analyzer with calibrations kits, Spectrum Analyzer, Signal Generator, RF Power Meter, Oscilloscope &nbsp; &nbsp; • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience &nbsp; &nbsp; • The ability to obtain and maintain a U.S. government issued security clearance is required&nbsp; &nbsp; &nbsp; • U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
What We Offer &nbsp; &nbsp; • Medical, dental, and vision insurance &nbsp; &nbsp; &nbsp; • Three weeks of vacation for newly hired employees &nbsp; &nbsp; &nbsp; • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option &nbsp; &nbsp; &nbsp; • Tuition reimbursement program&nbsp; &nbsp; &nbsp; • Student Loan Repayment Program &nbsp; &nbsp; &nbsp; • Life insurance and disability coverage &nbsp; &nbsp; &nbsp; • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection&nbsp; &nbsp; &nbsp; • Birth, adoption, parental leave benefits&nbsp; &nbsp; &nbsp; • Ovia Health, fertility, and family planning &nbsp; &nbsp; &nbsp; • Adoption Assistance         &nbsp;&nbsp; &nbsp; &nbsp; • Autism Benefit &nbsp; &nbsp; &nbsp; • Employee Assistance Plan, including up to 10 free counseling sessions &nbsp; &nbsp; &nbsp; • Healthy You Incentives, wellness rewards program&nbsp; &nbsp; &nbsp; • Doctor on Demand, virtual doctor visits &nbsp; &nbsp; &nbsp; • Bright Horizons, child and elder care services&nbsp; &nbsp; &nbsp; • Teladoc Medical Experts, second opinion program &nbsp; &nbsp; • This position is eligible for relocation assistance  &nbsp; &nbsp; • And more! &nbsp;
Learn More &amp; Apply Now!&nbsp;
Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions — whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you’ll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today.&nbsp;
*Please ensure the role type (defined below) is appropriate for your needs before applying to this role.&nbsp; ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. &nbsp;
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again. &nbsp; &nbsp; Apply now and be part of the team that’s redefining aerospace, every day. &nbsp;
Employee Referral Eligible
The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms

Senior RF Electrical Engineer (ONSITE)

<h3>Job Description</h3>
Job Title: Head of R and D Platform Engineering
Location: Cambridge, MA, Morristown, NJ
About the Job
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our [Team Name] as [Job Title] and you can help make it happen
 At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&amp;D Data &amp; AI Products and Platforms Team as Head of R&amp;D Platform Engineering and you can help make it happen.&nbsp;
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&amp;D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.&nbsp;
 &nbsp;
The R&amp;D Data &amp; AI Products and Platforms Team is a key team within R&amp;D Digital, focused on developing and delivering Data and AI products for R&amp;D use cases. This team plays a critical role in pursuing broader democratization of data across R&amp;D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.&nbsp;
As the Head of R&amp;D Platform Engineering, you will be a leader on a dynamic team committed to driving strategic and operational digital priorities and initiatives in R&amp;D. You will work with data architects and engineers within an agile environment to drive and oversee the design, development, deployment and maintenance of scalable, efficient, and innovative platforms that enable teams to drive solutions and accelerate Data/AI Product development. This will include platforms that enable foundational scientific data management and compute processing capabilities at Sanofi are driven through Scientific Information processing Services (SIPS) and Scientific Workflow Engineering Lab (SWEL).&nbsp;&nbsp;
 &nbsp;
Our vision for digital, data analytics and AI &nbsp;
Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: &nbsp;
<ul>
<li>
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.&nbsp;
</li>
</ul>
<ul>
<li>
Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.&nbsp;
</li>
</ul>
<ul>
<li>
World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets.&nbsp;
</li>
</ul>
 &nbsp;
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?&nbsp;
 &nbsp;
 Main Responsibilities:&nbsp;
Platform Development and Delivery:&nbsp;
<ul>
<li>
Define and execute the vision and strategy for R&amp;D platform engineering, aligning with broader R&amp;D business objectives and data strategy needs&nbsp;
</li>
</ul>
<ul>
<li>
Act as liaison between technical teams and R&amp;D business stakeholders to ensure alignment and prioritization of platform initiatives&nbsp;
</li>
</ul>
<ul>
<li>
Define, develop, and maintain product development roadmaps for the development of data platforms, including SIPS and SWEL&nbsp;
</li>
</ul>
<ul>
<li>
Lead teams of engineers and architects through the design, implementation, and optimization of SIPS and SWEL platforms to support scalable and secure R&amp;D operations and accelerate the delivery of R&amp;D data and AI products&nbsp;
</li>
</ul>
<ul>
<li>
Oversee the architecture, deployment, and maintenance of system integration and software lifecycle platforms&nbsp;
</li>
</ul>
<ul>
<li>
Lead and participate in technical, design, and product discussions related to the data platform; and communicate complex technical ideas to non-technical stakeholders&nbsp;
</li>
</ul>
Technical Data Management:&nbsp;
<ul>
<li>
Oversee and directly manage team responsible for technical data management activities&nbsp;
</li>
</ul>
<ul>
<li>
Work with this team to manage data management needs from the business and provide platform level technical solutions where required&nbsp;
</li>
</ul>
Innovation &amp; Team Management:&nbsp;
<ul>
<li>
Collaborate with technical and non-technical teams to maximize the value of the data stack and ensure platforms meet analytical and modeling requirements&nbsp;
</li>
</ul>
<ul>
<li>
Ensure execution across the platform team is predictable, reliable, and sustainable, implementing best practices in engineering processes&nbsp;
</li>
</ul>
<ul>
<li>
Manage project timelines and priorities to ensure timely delivery of platform engineering outputs&nbsp;
</li>
</ul>
 &nbsp;
About You&nbsp;
Key Functional Requirements &amp; Qualifications:&nbsp;
<ul>
<li>
Master’s in computer science, engineering, or a related field; 8-10 years of experience in platform engineering, DevOps, or software development and 6+ years in management and leadership roles&nbsp;
</li>
</ul>
<ul>
<li>
Proven track record leading successful platform projects across design, development, scaling, and maintenance&nbsp;
</li>
</ul>
<ul>
<li>
Understanding of R&amp;D business and data environment strongly preferred&nbsp;
</li>
</ul>
<ul>
<li>
Strong communication between technical and non-technical stakeholders and collaborators&nbsp;
</li>
</ul>
<ul>
<li>
Demonstrated team leadership, mentorship, and management skill &nbsp;
</li>
</ul>
Key Technical Requirements &amp; Qualifications:&nbsp;
<ul>
<li>
Expertise building large-scale data platforms with supporting data lakes&nbsp;
</li>
</ul>
<ul>
<li>
Experience with data security, compliance, and regulatory requirements&nbsp;
</li>
</ul>
<ul>
<li>
Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica)&nbsp;
</li>
</ul>
<ul>
<li>
Expert experience with engineering tools and in programming languages such as Python, R, Java&nbsp;
</li>
</ul>
<ul>
<li>
Proven expertise in system integration, data streaming, data platform services, and software engineering lifecycle management&nbsp;
</li>
</ul>
<ul>
<li>
Deep understanding and proven track record managing large-scale platform deployments in a complex R&amp;D environment&nbsp;
</li>
</ul>
Why Choose Us?
<ul>
<li>
Bring the miracles of science to life alongside a supportive, future-focused team.
</li>
<li>
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
</li>
<li>
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
</li>
<li>
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
</li>
</ul>
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
#GD-SA ​ #LI-SA #LI-Onsite &nbsp;#vhd&nbsp;
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Head of R and D Platform Engineering

<h3>Job Description</h3>
Job Description
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring an Engineering Manager ...
This role is an opportunity for a technologist with a passion for Linux and Cloud technologies to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
The BootStack team designs, builds, and operates modern distributed systems on private infrastructure for customers. From Kubernetes to OpenStack and everything in-between, you'll be working with the latest technology in a fast-paced engineering environment. As a Cloud Engineering Manager for the BootStack team, you will be responsible for managing the engineers that oversee day-to-day Managed Service of customer environments, including customer service management, managed services operations and consistent product improvement engineering. Collaboration with customers, product engineering, and operations is critical to success.
Location: This is a globally remote role.
The role entails
<ul>
<li>Manage a growing engineering team to optimise the quality and velocity of both development and operations</li>
<li>Identify and measure team health indicators</li>
<li>Implement disciplined engineering and operations processes</li>
<li>Represent the BootStack team with respect to stakeholders, customers, and external teams</li>
<li>Ensure proper team focus on priorities, milestones, and deliverables</li>
<li>Work to meet service level agreements with customer deployments around the globe</li>
<li>Deliver quality managed services in a consistent, timely manner</li>
</ul>
What we are looking for in you
<ul>
<li>Bachelors (or equivalent) education in a technology field</li>
<li>Proven track record of professional experience of either software delivery using Python, Go, C, C++, Java, or similar and/or managing operations teams</li>
<li>Proven experience with OpenStack</li>
<li>Demonstrated strong commitment to testing methodologies and maintainable code quality</li>
<li>Experience with Linux system administration, Ubuntu/Debian a plus</li>
<li>Strong communication and cooperation skills</li>
<li>Experience with agile software development methodologies</li>
<li>Experience working in and managing distributed teams</li>
<li>Technical aptitude for understanding complex distributed systems</li>
<li>Experience with cloud topologies and technologies</li>
<li>Travel to team and company events and customer meetings, roughly 20% or less</li>
</ul>
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
<ul>
<li>Distributed work environment with twice-yearly team sprints in person</li>
<li>Personal learning and development budget of USD 2,000 per year</li>
<li>Annual compensation review</li>
<li>Recognition rewards</li>
<li>Annual holiday leave</li>
<li>Maternity and paternity leave</li>
<li>Team Member Assistance Program &amp; Wellness Platform</li>
<li>Opportunity to travel to new locations to meet colleagues</li>
<li>Priority Pass and travel upgrades for long-haul company events</li>
</ul>
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#LI-remote

Engineering Manager, Managed Services

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a skilled Senior Manager of Machine Learning Engineering with a strong background in ML model productionization. This role oversees ML Engineering efforts to productionize and deploy ML models that predict the cost to manufacture customers' parts and determine the best price to charge for them. This is at the core of our business with substantial opportunity for impact by solving interesting and challenging technical problems.
The ideal candidate will have at least 8+ years of total experience in the industry, including a minimum of 3 years in a leadership role, and experience with pricing algorithms and deep learning. 
This position requires both leadership and hands-on technical expertise, managing a team of engineers while actively contributing to the design, development, and deployment of machine learning models and systems. Our teams are highly collaborative, cross-functional, and rapidly iterating and innovating.
Responsibilities:
<ul>
<li>Lead, mentor, and manage a team of machine learning engineers, providing guidance on best practices in ML Ops, infrastructure, and software engineering.</li>
<li>Lead the productionization of ML models and their deployment to quickly iterate on ML at the core of our business</li>
<li>Be hands-on in the design, development, and deployment of machine learning models and systems, ensuring they meet high standards of performance, scalability, and reliability.</li>
<li>Collaborate with data scientists, product managers, software engineers, and other stakeholders to define project requirements and deliverables.</li>
<li>Develop and maintain ML Ops pipelines, ensuring efficient model training, deployment, and monitoring.</li>
<li>Implement and manage infrastructure for large-scale data processing, model training, and inference.</li>
<li>Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.</li>
<li>Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.</li>
<li>Manage project timelines, resources, and deliverables, ensuring projects are completed on time and within budget.</li>
<li>Foster a culture of innovation, collaboration, and continuous learning within the engineering team.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.</li>
<li>8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.</li>
<li>Minimum of 3 years of experience in a management role, with a proven track record of leading engineering teams to successful project outcomes.</li>
<li>Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment.</li>
<li>Proficiency in software engineering practices, including object-oriented design, code versioning, and testing.</li>
<li>Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.</li>
<li>Strong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.</li>
<li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li>
<li>Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
<li>Experience with pricing algorithms</li>
<li>Experience with neural networks and deep learning</li>
<li>Experience with containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Knowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.</li>
<li>Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).</li>
</ul>
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Senior Manager, ML Engineering

<h3>Job Description</h3>
Job Description
The Engineering Manager is responsible for leading and managing the engineering function with a strong focus on automation, final assembly, process improvement, and safety. This role drives innovation, efficiency, and reliability through advanced technology, cost reduction initiatives, and waste elimination. The Engineering Manager oversees capital projects, supports maintenance, and leads a high-performing engineering team to meet current and future operational needs.
 
Key Responsibilities:
<ul>
<li>Lead and manage engineering projects from concept through implementation, ensuring alignment with production and business objectives.</li>
<li>Write and justify capital expenditure (CAPEX) requests, including detailed ROI analysis and technical specifications.</li>
<li>Plan and execute factory acceptance tests (FAT) for new equipment to validate functionality and performance before deployment.</li>
<li>Oversee the implementation, commissioning, and optimization of automation and final assembly systems.</li>
<li>Drive continuous process improvement initiatives to enhance efficiency, reduce costs, and eliminate waste.</li>
<li>Provide direct engineering support for troubleshooting production equipment, collaborating closely with maintenance and operations teams to resolve technical issues and restore performance.</li>
<li>Partner with maintenance and operations to increase equipment uptime, reliability, and long-term performance.</li>
<li>Manage and develop the engineering team, providing leadership, coaching, and performance feedback.</li>
<li>Stay abreast of emerging technologies and proactively introduce solutions that improve productivity, safety, and competitiveness.</li>
<li>Lead cross-functional teams to address technical challenges and execute improvement projects.</li>
<li>Ensure compliance with all safety regulations and internal EHS policies in all engineering activities.</li>
<li>Collaborate with procurement, vendors, and contractors to deliver cost-effective and technically sound solutions.</li>
<li>Develop and maintain engineering documentation, standards, and best practices.</li>
<li>Monitor and report on KPIs such as project timelines, cost savings, equipment efficiency, and process improvements.</li>
</ul>
 
Qualifications:
<ul>
<li>Bachelor's degree in mechanical, Electrical, Industrial, or Manufacturing Engineering (Master’s preferred).</li>
<li>7+ years of engineering experience in a manufacturing setting, with at least 3 years in a leadership role.</li>
<li>Strong experience with automation systems, robotics, PLC/HMI programming, and final assembly processes.</li>
<li>Proven track record of writing and managing capital projects, including justifications and execution.</li>
<li>Hands-on experience conducting FATs and integrating new equipment into production environments.</li>
<li>Deep understanding of lean manufacturing, Six Sigma, TPM, and continuous improvement methodologies.</li>
<li>Demonstrated success in cost and waste reduction through process innovation and optimization.</li>
<li>Proficient in modern engineering tools and technologies, with a forward-thinking mindset toward Industry 4.0.</li>
<li>Excellent leadership, communication, and project management skills.</li>
<li>Working knowledge of OSHA regulations and safety standards in manufacturing environments.</li>
</ul>
 
Work Environment:
<ul>
<li>Dynamic, fast-paced manufacturing facility with both office and production floor responsibilities.</li>
<li>Occasional travel required for equipment validation, training, or vendor site visits</li>
</ul>

Engineering Manager

<h3>Job Description</h3>
Job Description
As Vice President of Cloud Engineering, you will lead Aptarro’s transformation to a public cloud-native architecture. You will lead a small team of engineers in a player/coach role to advance our cloud architecture and processes. This is a net-new, high-impact leadership role with direct responsibility for guiding our cloud technology strategy, achieving results through a combination of direct engineering and collaboration and consulting with sister teams.
You will be instrumental in:
<ul>
<li>Scaling our RCE platform for SaaS delivery to the mid- and enterprise- markets.</li>
<li>Architecting and initiating cloud-native transformation of ClaimStaker.</li>
<li>Building a Cloud Center of Excellence (CoE) to drive engineering best practices across teams, including establishing best practices for cost tracking, deployment, monitoring, reliability engineering, and security practices.</li>
</ul>
Success in this role will be measured by delivery of scalable cloud architecture standards, transparency and reduction of infrastructure costs, consistency and reliability of deployments, and improved cloud reliability and performance metrics.
Key Responsibilities
<ul>
<li>Leadership &amp; Strategy</li>
</ul>
<ol>
<li>This role is expected to operate as a hands-on leader (“player/coach”), particularly during the build-out phase of the Cloud COE over the next 12-18 months.</li>
<li>Lead a cross-functional cloud engineering team (initially ~2-4 FTE direct reports) + collaborators on sister teams.</li>
<li>Lead the Cloud Center of Excellence in alignment with engineering priorities, including SaaS RCE scalability, ClaimStaker cloud migration, and standardization of public cloud architecture and operations.</li>
<li>Own the execution of Aptarro’s cloud roadmap in partnership with Product, Operations, and IT.</li>
<li>Build and scale a Cloud Center of Excellence to drive innovation, reusability, and cloud-native best practices.</li>
</ol>
<ul>
<li>Engineering Execution</li>
</ul>
<ol>
<li>Guide the modernization of our platforms, including .NET application refactoring, CI/CD optimization, and containerization (Kubernetes).</li>
<li>Oversee development of secure, horizontally-scalable, multi-tenant cloud architectures spanning hyperscalers (currently Azure) and our private cloud infrastructure.</li>
<li>Ensure platform reliability, scalability, and performance meet both enterprise and mid-market customer expectations.</li>
<li>Conduct architectural reviews of RCE and ClaimStaker platforms for cloud-readiness and define modernization priorities.</li>
<li>Collaborate with DevOps and Cloud Ops teams to transition CI/CD pipelines and test environments to the public cloud.</li>
<li>Partner with Finance and Cloud Ops to establish a cost governance framework.</li>
</ol>
<ul>
<li>Infrastructure &amp; Operations</li>
</ul>
<ol>
<li>Influence or own decisions related to cloud infrastructure, data center migration (e.g., TLH to Rackspace), and hybrid cloud design.</li>
<li>Embed cost optimization, availability, cloud security best practices, and operational excellence into platform design and deployment.</li>
<li>Implement cloud reliability metrics and operational KPIs; establish monitoring frameworks and baseline measurements.</li>
<li>Finalize and institutionalize cloud architecture standards and collaborate with application teams on their adoption.</li>
</ol>
<ul>
<li>Culture &amp; Talent Development</li>
</ul>
<ol>
<li>Lead cultural evolution within engineering aligned to Aptarro’s “Arrows Up” initiative.</li>
<li>Mentor, grow, and retain high-performing cloud engineering talent through coaching, empowerment and clear thinking.</li>
<li>Champion cross-functional collaboration with QA, Product, and Security to align release processes and engineering planning with cloud-readiness standards.</li>
</ol>
Required Qualifications
<ul>
<li>10+ years of engineering leadership experience, including direct ownership of cloud infrastructure or platform engineering.</li>
<li>Deep expertise in cloud-native architecture, preferably with Azure and experience refactoring .NET applications and with hybrid cloud architecture.</li>
<li>Proven success leading the migration of on-premise software to scalable cloud platforms.</li>
<li>Experience with CI/CD pipelines, infrastructure-as-code, and DevOps best practices.</li>
<li>Familiarity with hybrid-cloud strategies, Kubernetes, container orchestration, and cost management in the cloud.</li>
<li>Effective stakeholder engagement across Product, Finance, Sales, and Operations.</li>
<li>Ability to lead change in a lightly matrixed organization with a pragmatic, mission-driven style.</li>
<li>Geographically located within 1 hour drive of Burlington, VT; Tallahassee, FL; Austin, TX; or Atlanta, GA (our four staff hubs). This requirement ensures our ability for occasional in-person working sessions.</li>
</ul>
Preferred Qualifications
<ul>
<li>Background in healthcare revenue cycle technology, claims management, or payer-provider integrations.</li>
<li>Experience scaling cloud platforms for SaaS delivery with enterprise and mid-market clients.</li>
<li>Previous leadership in PE-backed or high-growth tech organizations.</li>
</ul>
Compensation &amp; Benefits
<ul>
<li>Target bonus: 15%</li>
<li>Performance Incentive Units (PIUs)</li>
<li>Remote-first work model with periodic travel</li>
<li>High-impact role with visibility across executive leadership and Board</li>
</ul>

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