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Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

A growing consulting firm is seeking an Industrial Hygienist to perform a variety of field studies, such as airborne chemical monitoring, noise monitoring, mold assessments, and asbestos surveys, for their clients in the Jackson, MS region.

The role:

• Manage and deliver on the existing industrial hygiene projects and asbestos services in the region.
• Prepare proposals for and lead industrial hygiene assessments, asbestos, lead-based paint, and other hazardous materials surveys for various clients.
• Conduct and lead IH sampling, IH exposure assessments, document site activities, results analysis, and make written recommendations.
• Work collaboratively within the department to provide support for other technical areas.

The candidate:

• Bachelor's degree in Environmental Engineering, Industrial Hygiene, or related discipline.
• Demonstrated technical experience in Industrial Hygiene.
• Understanding of EPA, OSHA, and other IH-related regulations.
• Independent and self-driven, able to juggle competing priorities and thrive in a fast-paced environment.
• Strong communication skills, written and verbal.

ML Realty Partners (MLRP) is a long term industrial real estate investor in the Central United States. The company provides clients with an exceptional experience at its properties. A collaborative team of accountable professionals, ML Realty Partners has a platform that will continue to strive to exceed team members’ expectations, both in growth opportunities and in recognition of performance.

We are actively seeking a full-time Executive Administrative Assistant to provide support to our leasing, asset management, acquisition teams and other internal team members as needed. 

We offer a hybrid work environment – (2) days working from home and (3) days in the office until further notice. 

Responsibilities include:

• Provide administrative support to Leasing and Acquisitions teams including expense reports and travel
• Work closely with Office Manager to maintain inventory of office supplies, coding invoices for payment, subscription renewals and special projects as requested
• Coordinate internal and external resources to expedite workflow; including but not limited to compiling monthly and quarterly reports, copying, filing, scanning and calendar management
• Prepare and administer contractual documentation to ensure timely completion of successful development and leasing projects
• Maintain contact database and prepare reports as needed
• Accurately maintain electronic filing system

Requirements:

• Previous experience in a professional office environment a must
• Exceptional communication (both verbal and written), organizational, time management and customer service skills with strong attention to detail
• Team player capable of supporting and interacting with all levels of management
• Aptitude for learning new software and systems
• Demonstrate ability to exercise good business judgment when responding to the needs of clients, both internally and externally
• Intermediate to advanced skills in Microsoft Office - Outlook, Word, Excel, and PowerPoint
• Ability to exercise initiative, work independently and proactively follow-up
• Previous experience in development/industrial real estate a plus

Benefits and Requirements:

• For this role, benefits include medical, dental, vision, life and AD&D insurance, 401k match, disability benefits, wellness and education benefits, vacation, holidays, and more.
• Completion of a satisfactory background check is required before employment agreement can be made
• Hiring Salary Range of: $65K/yr - $75K/yr. Salary and bonus compensation package to be determined by the candidate’s education, experience, knowledge, skills, and abilities.
• ML Realty Partners is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Please email cover letter and resume to:

No phone calls, please.

Job description

• Community Manager

Department: Management Job Status: Full Time

FLSA Status: Exempt Reports To: Director of Operations

Work Schedule: Varies based on location Amount of Travel Required: 10-25%

Positions Supervised: Service Manager, Assistant Community Manager, Leasing Consultant

POSITION SUMMARY

The Community Manager is fully accountable for all property operations. Leadership ability is a must, as the Community Manager is the leader of the site team. The purpose of the Community Manager is to effectively manage and coordinate activities and available resources in order to accomplish property, owner, and company objectives. These objectives will include maximizing occupancy and income levels, increasing property values, and minimizing property operational expenses while maintaining a quality product.

FINANCIAL RESPONSIBILITY

Innovative: Demonstrates efficiency and creativity; looks for better, faster and more efficient ways of doing things; handles challenges/obstacles with a positive outlook.

Performance: Exhibits a well-organized and timely approach to achieve desired results; aligns resources to meet the needs of the department; and takes corrective action when necessary.

Fiscal Safety: Concerned for the financial well-being of the company by compliance to safety procedure; awareness of liability concerns.

FUN

Passion: Enjoys the work that they do and demonstrates a pleasant demeanor on the job and shows desire for success.

Entrepreneurial Spirit: Exhibits behavior that is consistent with the Vision, Mission and Values of the Company; makes working environment enjoyable for self and others.

JOB SPECIFIC COMPETENCIES

Associate Relations:

• Manages all on-site employees, including giving timely, constructive feedback and positive encouragement.
• Motivate the office and maintenance staff and give consistent verbal and written feedback. Has the ability to document performance feedback (including corrective actions) and effectively manages employee performance on a regular interval.
• Train and develop subordinates (provide on-the-job training and ensure assigned company training is complete).
• Recruit, hire, train, motivate and supervise all on-site staff in order to achieve operational goals assigned to the property. This will include team building, training, and performance management.
• Plan and carry out the successive steps of regular duties and handles problems and deviations in the work assignment in accordance with objectives, policies, previous training, or company practices.
• Abides my state and federal work regulations including wage and hour laws. Does not participate in or allow discriminatory, harassing or retaliatory actions
• Has read and understands the MLPG New Hire Onboarding Process and is effectively able to execute the process and communicate it to candidates
• Coordinates directly with HR regarding termination decisions and does not make termination recommendations unless the proper documentation is in place.

Resident Relations and Education:

• Communicate clearly to residents and in a consistent manner.
• Respond to resident requests and concerns in a timely, professional manner.
• Read and/or listen to resident requests/complaints in a calm, respectful, and open manner.
• Maintain a complete clean and neat uniform. Personal appearance must be clean and neat at all times, according to MLPG policy.
• Demonstrate customer service skills by treating residents, coworkers, supervisors, and vendors with respect, answering questions in a professional and open manner. Responds sensitively to concerns/complaints and exhibits a sense of urgency.
• Attend and assist in resident activities and functions after hours and weekends, as needed.

Financial:

• Assist in budget preparation, as well as maintain budgeted income and expenses. Project monthly forecasts and understand and explain budget variances.
• Ensure that all rents are collected and posted and processed/deposited on a daily basis.
• Oversee all accounting transactions. Manage cash accounts, process invoices as directed by Supervisor and owner, maintain proper bookkeeping at all times.

Property Evaluations:

• Perform and schedule all evictions and enforce adherence to all lease rules and regulations by all residents.
• Walk all vacant units as well as the property on a regular basis ensuring that it is well maintained. During these inspections all liability and/or deficiencies should be reported to to the Service Manager and Supervisor.
• Responsible for office operations, quality curb appeal, office and model cleanliness.
• Conduct market surveys as required. Create and implement marketing plans for ongoing success and high occupancy of the property.

Payroll:

• Has a working knowledge and a familiarity with Paylocity Payroll System. Seeks help and additional training if necessary.
• Seeks supervisor or ownership’s approval before approving employee overtime.
• Approval of timesheets and overtime by the 10am Monday morning deadline.
• Ensures employees have completed their time card approvals.
• Limits and monitors employee missed punches and disciplines chronic offenders.
• Does not manipulate over time records, monitors overtime proactively but does not remove legitimate employee overtime worked. Does not allow employees to work off the clock.
• Maintains accurate payroll records by promptly returning Associate Status Forms to Payroll.

Reporting:

• Must maintain all records in a complete and organized manner as described throughout the MLPG P&P Operations Manual and in full compliance with outside regulatory boards which may be applicable (EEOC, OSHA, EPA, HUD, etc.)
• Consistently review all leasing performance and paperwork.

Safety:

• Responsible for responding to all emergency situations, preparing all necessary reporting and notifying the Supervisor, Regional Director, VP and COO.

Compliance:

• Assist in managing the client/owner relationship by meeting with owners, conducting property tours, providing updates and information about the property performance, and responding to owner requests as needed.
• Conduct all business in accordance with company policies and procedures, Fair Housing, ADA, Fair Credit Reporting Act, OSHA, EPA and all other Federal, State and Local laws pertaining to Multi-Family Housing.\
• Fully implement and enforce all policies and procedures as outlined in the MLPG Policy and Procedures Manuals. Maintain and keep Policies and Procedures in up to date manner, inform and train staff on any revisions in a timely manner.
• Review and approve all leasing application files; enforce property qualifying criteria in a fair and consistent manner for all leasing applicants.

POSITION QUALIFICATIONS

Education

High School degree required, college preferred.

Experience

One year prior experience in property management or in a related industry.

Other Requirements

Excellent written and verbal communication skills providing for effective communication with residents, employees, peers, vendors, owners, etc. and to assist in efficient operations. Basic understanding of Landlord/Tenant laws and application, familiarity with GAA Lease and Addendums, Fair Housing/ADA regulations and application, OSHA & EPA requirements for property management industry.

SKILLS & ABILITIES

Computer Skills

Computer software experience to include MS Word, MS Excel, Google Suite. Basic typing skills and knowledge of computers. Use of the company’s payroll system is required. Prior HRIS experience a plus.

Certificates & Licenses

Valid driver’s license and current automobile insurance is required. Position requires individuals to furnish their own reliable transportation. CPM®, ARM® designation preferred. Ability to earn future designations as required by Industry standards.

WORK ENVIRONMENT

The work environment involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms and residences or commercial vehicles.

The work area is adequately lighted, heated, and ventilated. On occasion, the incumbent may be exposed to dirty and/or hazardous conditions when inspecting vacated units.

UNDERSTANDING OF JOB ESSENTIALS:

ML Property Group is a harassment free workplace. All candidates must pass a drug screen (with the elimination of THC) and an extensive background check. MLPG is an equal opportunity employer and does not tolerate harassment, discrimination or retaliation.

I understand that all pre-employment screening activities are conducted in compliance with federal and state employment laws. Background checks are completed during the post-offer stage of the employment process in compliance with the Fair Credit Reporting Act requirements.

I also fully understand the content of this job description, have had the opportunity to ask questions regarding this job description, and have had the job duties and responsibilities, requisites, and physical demands and working conditions explained to me. I am capable of performing the essential functions of this job with or without reasonable accommodation. If I need accommodation, I will ask the hiring manager for it.

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Vision insurance

Schedule:

• 8 hour shift

Work Location: In person

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.

As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.

Responsibilities

• Lead project teams and act as the technical architect on AI/ML initiatives.
• Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
• Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
• Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
• Coach and mentor junior team members while driving project success.

Experience

• Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
• 5+ years of hands-on experience in statistical modelling, analytics, and machine learning.
• Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
• Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
• Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
• Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
• Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
• Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
• Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
• Passion for mentoring and leading teams, fostering growth and knowledge sharing.
• Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
• Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
• Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
• Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
• Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.

Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.

If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at

At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Midwest Logistics Systems Dedicated nighttime truck driver

Average pay: $1,050-$1,250 weekly

Home time: Daily

Experience: 6 months or greater CDL experience

• 
  
• Have a predictable daily home time work schedule.
  
• Drive the same out-and-back dedicated route and work with the same customers every day.
  
• Haul automotive parts in dry van trailers with newer trucks.
  
• Haul no-touch, mostly drop-and-hook freight.
  
• Work with onsite leaders and dispatch.
  

• 
  
• Route and detention pay.
  
• Safety and performance bonuses of up to $600 per quarter.
  
• Longevity bonus of up to $750 per quarter.
  
• Weekly paychecks.
  

• Valid Class A Commercial Driver’s License (CDL).
• Drivers on this account are required to drive at night.
• Minimum 6 months of Class A driving experience.

• Medical, dental and vision insurance.
• Disability and life insurance.
• 401(k) savings plan with company match.
• Ten paid holidays and paid time off.
• Company-provided uniforms.
• Opportunity to work with a dedicated, professional team that is committed to your safety and success.

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

A wholly owned subsidiary of Schneider, Midwest Logistics Systems, Ltd. (MLS) is operated separately from Schneider with its own operating procedures, qualification requirements, training program, pay packages and benefits. If you have any questions about becoming an MLS driver, please contact an MLS recruiter at 8

Compensation details: 1050-1250

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