Engineering Jobs in Plano Tx Remote

Impact you will make

We are seeking an experienced Product Manager to lead the vision, strategy, and execution of our Patient Experience and Denials Prevention analytics products focused on healthcare revenue workflows in healthcare. This role provides both strategic and people leadership, overseeing a team of Product Owners while working cross-functionally to ensure our solutions deliver measurable value to healthcare providers.

The Product Manager will collaborate closely with the Sr. Director of Product Management and fellow Product Managers to define portfolio strategy and drive cross-product alignment. This role is responsible for turning market needs and business goals into actionable roadmaps, partnering across the organization to deliver high-impact analytics products that support operational efficiency and financial performance in the revenue cycle.

Responsibilities:

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• Lead the product direction for a defined domain, including shaping the roadmap, aligning with business objectives, and ensuring successful delivery
  
  
• Manage and mentor a team of Product Owners, supporting their development and ensuring clear priorities and execution
  
  
• Collaborate with other Product Managers and the Sr. Director of Product Management to develop and maintain an integrated product portfolio strategy
  
  
• Translate customer and market needs into business cases, value propositions, and prioritization frameworks
  
  
• Guide cross-functional teams through the product lifecycle, from ideation to delivery and adoption
  
  
• Ensure strong coordination with Engineering, UX, Data Science, Marketing, and Customer Success teams
  
  
• Monitor product performance through defined KPIs and partner on go-to-market and enablement activities
  
  
• Maintain subject matter expertise in revenue management and revenue recovery workflows
  
  

Qualifications:

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• 5+ years of experience in product management or related roles, with 2+ years of team leadership preferred
  
  
• Proven ability to manage and mentor Product Owners or similar roles
  
  
• Strong collaboration and communication skills, with experience leading through influence across departments
  
  
• Deep understanding of the healthcare revenue cycle, particularly revenue recovery processes
  
  
• Experience with analytics, SaaS, or data-driven solutions in a regulated or healthcare setting
  
  
• Strategic thinker with strong execution skills and attention to measurable outcomes
  
  

What we would like to see

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• Experience with process diagrams and flowcharts (MS Visio, Draw IO, etc.)
  
  
• Experience in a customer-facing role
  
  
• SQL and database knowledge a plus
  
  

About FinThrive

FinThrive is advancing the healthcare economy.
For the most recent information on FinThrive's vision for healthcare revenue management visit /why-finthrive.

Award-winning Culture of Customer-centricity and Reliability

At FinThrive we're proud of our agile and committed culture, which makes FinThrive an exceptional place to work. Explore our latest workplace recognitions at careers#culture.

Our Perks and Benefits

FinThrive is committed to continually enhancing the colleague experience by actively seeking new perks and benefits. For the most up-to-date offerings visit /careers-benefits.

FinThrive's Core Values and Expectations

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• Demonstrate integrity and ethics in day-to-day tasks and decision making, adhere to FinThrive's core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities
  
  
• Support FinThrive's Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to FinThrive's business practices; this includes becoming familiar with FinThrive's Code of Ethics, attending training as required, notifying management or FinThrive's Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations
  
  

The physical demands and work environment characteristics described here are representative of those that a colleague must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Know Your Rights
Pay Transparency Notice

FinThrive is an Equal Opportunity Employer and ensures its employment decisions comply with principles embodied in Title VII, the Age Discrimination in Employment Act, the Rehabilitation Act of 1973, the Vietnam Veterans Readjustment Assistance Act of 1974, Executive Order 11246, Revised Order Number 4, and applicable state regulations.
2024 FinThrive. All rights reserved. The FinThrive name, products, associated trademarks and logos are owned by FinThrive or related entities. RV092724TJO

| FinThrive Careers | FinThrive Benefits & Perks | Physical Demands

About us

Sol-Ark is a Veteran-owned solar and battery-based technology manufacturer based in Texas. Our mission is making the most reliable, innovative, and affordable solar storage solutions to power families & their businesses. Founded in 2013, the company has experienced massive, organic growth due to our equipment being 3x more powerful and capable than best-in-class alternatives. It is a fast-paced, yet casual work environment. We are a close-knit team looking to make significant contributions to a very fast-growing industry that values merit, character, aptitude, sustainability and self-reliance.

Job Description

Location: This position will be based in our corporate headquarters in Allen, Texas (Dallas-Fort Worth area)

Please use this link to apply directly to Careers Page: are seeking a detail-oriented and proactive Shift Manufacturing Supervisor – Afternoon Shift to join our team, to oversee our mechanical electronic assembly operations. The ideal candidate will be responsible for managing daily production activities, ensuring adherence to quality standards, and leading a team of assembly technicians to meet production goals efficiently.

Responsibilities:

• Supervision and Leadership: Manage and mentor a team of assembly associates, technicians, or any other assigned personnel, providing guidance, training, and performance evaluations to ensure a skilled and motivated workforce.
• Production Management: Oversee the assembly of mechanical and electronic components, ensuring production schedules are met and products comply with quality specifications.
• Workflow Optimization: Develop and implement efficient workflow processes, monitor production metrics, and identify areas for improvement to enhance productivity and reduce costs.
• Quality Assurance: Establish and enforce quality control standards according to the quality management system (QMS), conduct regular inspections, and collaborate with the quality assurance team to address any issues promptly.
• Safety Compliance: Ensure all assembly operations adhere to company safety policies and regulatory requirements, promoting a culture of safety awareness among staff.
• Resource Coordination: Manage inventory levels of assembly materials, coordinate with the procurement team for timely replenishment, and ensure optimal utilization of resources.
• Reporting: Prepare and present regular reports on production performance, quality metrics, and other relevant data to senior management.

Requirements

• Education: High school diploma or equivalent required; a Bachelor’s degree in Industrial Engineering, Manufacturing Technology, or a related field is preferred.
• Experience: Minimum of 3 years of supervisory experience in a manufacturing environment, specifically in mechanical and electronic assembly.
• Technical Proficiency: Strong understanding of assembly equipment, tools, and processes, with the ability to read and interpret technical drawings and schematics.
• Leadership Skills: Proven ability to lead and develop a team, with excellent communication and interpersonal skills.
• Problem-Solving: Demonstrated aptitude for identifying operational issues and implementing effective solutions promptly.
• Organizational Abilities: Strong organizational and time-management skills, with the capacity to manage multiple priorities in a fast-paced environment.
• Software Knowledge: Proficiency in Microsoft Office Suite; experience with manufacturing software systems (e.g., SAP, NetSuite, Oracle) is a plus.

Salary and Benefits: We offer a competitive salary and performance-based bonus program, top-tier benefits package, including medical, dental, and vision insurance, 401(k), and paid time off.

We put the unity in "opportunity."

Opportunity Snapshot:

• Compensation: $50/hour
• Location: Spring, TX
• Duration: 12 months+
• Work Schedule: 14/14 rotation - 12-hour shift - alternating days/nights
• Benefits: Comprehensive insurance, 401(k) program, PTO & Holidays and Company vehicle

Qualifications:

• Minimum 2-5 years of experience in gas compression, oil & gas operations, or industrial maintenance
• Familiarity with rotating equipment, instrumentation, and process controls
• Technical or vocational training preferred
• Certifications such as OSHA 10/30, H2S Awareness, First Aid/CPR, or DOT Operator Qualification (OQ) are a plus
• Strong mechanical aptitude and troubleshooting skills
• Ability to read P&IDs, schematics, and technical manuals
• Knowledge of HMI systems and control room operations is a plus
• Good verbal and written communication skills
• Rotating shift work, weekends, and holidays as needed
• Ability to work in varying weather conditions and remote locations
• Frequent lifting (up to 50 lbs.), climbing, bending, and standing for extended periods
• Ability to wear personal protective equipment (PPE) as require
• High School diploma or GED required

Responsibilities:

• Compressor Operator for Vapor Recovery Unit to oversee the safe and efficient operation of natural gas compression equipment
• Operate and monitor natural gas compressors, dehydration units, and associated equipment
• Adjust operating parameters to maintain optimal pressure, flow, and efficiency
• Conduct routine inspections and record equipment readings to detect irregularities
• Perform minor maintenance and assist with repairs on compressors, engines, and auxiliary systems
• Identify mechanical or process issues and escalate as necessary to maintenance personnel
• Assist in troubleshooting electrical, pneumatic, and hydraulic control systems
• Follow all company safety policies
• Maintain accurate logs of operating data, maintenance activities, and safety checks
• Report any equipment malfunctions, safety concerns, or operational deviations
• Utilize digital tools and systems for data entry and reporting

The Bergaila Way:

The Bergaila Companies is a nationally recognized leader in providing staffing services to all sectors of the energy industry. We continually focus on partnering with talented professionals, engineering the perfect fit between our clients and employees. Choosing a career path with Bergaila grants you immediate access to nationally recognized organizations we partner with. Bergaila consistently attracts and retains its Employees with our dedicated internal service team, top tier benefits programs for contractors and their families, and commitment to place you in the desired career of your choice.

Client Overview:

Our Client is a global international energy exploration and production company and one of the largest oil producers in the United States. Founded in 1920, our client’s technical expertise and proven ability to deliver lasting results are the hallmark of their international success. While manufacturing the building blocks for life-enhancing products, our client utilizes leading edge technologies that grow their business and simultaneously help to advance a lower-carbon world.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Who We Are

Johns Manville is a leading manufacturer and marketer of premium-quality insulation and commercial roofing, along with glass fibers and nonwovens for commercial, industrial and residential applications. Our products are used in a wide variety of industries including building products, aerospace, automotive and transportation, filtration, commercial interiors, waterproofing and wind energy.

A proud member of the Berkshire Hathaway family of companies, we serve customers in more than 80 countries around the globe. We are committed to delivering positive and powerful experiences, because we are successful only when our employees and customers thrive. We are passionate, we care about people, we perform at a superior level, and we protect others and our environments.

Pay Range

This is the base salary pay range that an applicant can expect to make upon hire. Pay within this range will vary based upon relevant experience, skills, and education among other factors. In addition, this position is eligible for an incentive bonus.

The Corporate Environmental Manager will be responsible for ensuring JM manufacturing facilities are in compliance with applicable regulations, identifying and implementing programs that improve factory environmental performance, communicating environmental issues and progress at all levels in the company, and mentoring and developing factory environmental staff. This position is accountable, along with plant managers, for eliminating or reducing factory environmental violations, tracking factory performance metrics, renewing and amending environmental operating permits, leading the development of air pollution construction permits and implementing new programs to address emerging regulations.

Your Day to Day:

• Develop and implement environmental compliance systems and programs for JM's factory operations and employees
• Represent the company with state and federal agencies for air permitting and other issues as required
• Provide regulatory guidance for all environmental media to manufacturing facilities and ensure that compliance systems are adequate to track and document compliance status
• Review all major capital projects and provide environmental impact assessments
• Actively audit factory environmental performance for JM locations and ensure that audit findings are addressed and corrected where appropriate
• Provide regulatory guidance for all environmental media to manufacturing facilities and ensure that compliance systems are adequate to track and document compliance status
• Represent the company with state and federal agencies for air permitting and other issues as required
• Effectively communicate the environmental goals, objectives, performance expectations, and metrics throughout the organization
• Mentor, train, and develop JM factory environmental employees
• Develop and implement management systems to ensure seamless leadership for JM's business environmental activities
• May be required to perform other related duties as assigned

What You Bring to the Team:

• Bachelor's degree in environmental management, engineering or a related field or equivalent experience with a minimum of 8 years in implementing and managing environmental programs and initiatives
• Master's degree with a minimum of 6 years of experience preferred
• Significant knowledge of federal, state and local environmental laws and regulations relating to air, water, solid waste and hazardous waste management
• The ability to develop and implement environmental compliance systems and programs for JM's factory operations and employees
• Solid ability to develop, implement and lead group environmental management programs for the JM's businesses to ensure full compliance with regulations and company requirements
• Demonstrated ability to mentor, train, and develop JM factory environmental employees
• Develop and implement management systems to ensure seamless leadership for JM's business environmental activities
• Solid knowledge of emission inventory development
• Solid leadership skills
• Excellent interpersonal, verbal and written communication skills
• Ability to work both independently and in a diverse team environment
• Heavy travel required (Minimum 30%)
• May be required to lift, carry, push or pull up to and including 25 pounds
• Work environment is typical of an office setting

#LI-KL1 #LI-ONSITE #P #D

Please Keep in Mind

If you do not meet 100% of these requirements, we at JM still want to hear from you. So, if you are interested in the role, we encourage you to apply so we can learn how your skills and talents can contribute to our team.

Benefits

Johns Manville (JM) offers a wide range of benefits to employees. Some are subsidized by the company and others are fully employee-paid. Health benefits include a choice of comprehensive medical plans, a dental plan, vision plan, wellness program and critical illness insurance. JM sponsors a 401(k) plan which includes a sizeable company match. JM offers paid vacation and also provides paid sick and parental leave for eligible employees.

Additionally, Johns Manville provides basic life Insurance, short-term and long-term disability coverage, an employee assistance program, and business travel accident coverage. Supplemental life insurance and accidental death and dismemberment insurance are available as well. The company also offers a variety of tax saving accounts; health spending account, traditional flexible spending account, and a dependent care spending account. JM also offers a tuition reimbursement program for undergraduate and certain graduate programs.

Johns Manville supports employee growth with vast educational opportunities and a company-wide mentoring program. This program pairs employees and leaders to grow skills, build stronger internal networks and strengthen the company’s succession planning process. Johns Manville also offers soft and hard skills training facilitated by internal and external presenters. Our talent management team prioritizes the holistic growth of our workforce.

Diversity & Inclusion

Johns Manville believes diversity and inclusion in our workplace is critical for the long-term success of our company. We are committed to retaining, developing and attracting a diverse workforce that fosters an inclusive work environment in which all employees are treated with dignity and respect. This is the right thing to do for our employees, our company and our communities.

Incumbent must be physically able to perform essential job functions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

We are proud to be an Equal Opportunity/Affirmative Action employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Johns Manville is a proud member of the Berkshire Hathaway family of companies, serving customers in more than 80 countries, supplying innovative products to the construction, aerospace, automotive, filtration and energy industries. With a more than 160-year legacy, we understand that our story continues to grow only with the right people saying, thinking and doing the right things. Make your story our story.

Johns Manville believes diversity and inclusion in our workplace is critical for the long-term success of our company. We are committed to retaining, developing and attracting a diverse workforce that fosters an inclusive work environment in which all employees are treated with dignity and respect. This is the right thing to do for our employees, our company and our communities.

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