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Acuity in Decatur, GA is seeking a Senior Design Engineer to oversee product development for high-impact lighting solutions. This role involves rapidly designing, adapting, and deploying solutions that meet customer requirements while managing engineering design deliverables.

The ideal candidate will have a Bachelor's degree in engineering and 3-5 years of design experience, focusing on both mechanical and electrical domains. Proficiency in CAD software and strong communication skills are essential. The position may require up to 20% travel.

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Overview

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

We are looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max. This role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation, impacting how millions of users discover content globally.

You will operate at the intersection of ML, systems, and product, bringing both deep expertise in search/relevance systems and strong technical leadership. You’ll help define the roadmap, drive architecture decisions, and elevate the team’s ability to build and iterate on high-quality search experiences.

Staff MLE, Search & Personalization, Content Discovery

About You

We’re looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max. This role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation, impacting how millions of users discover content globally.

You will operate at the intersection of ML, systems, and product, bringing both deep expertise in search/relevance systems and strong technical leadership . You’ll help define the roadmap, drive architecture decisions, and elevate the team’s ability to build and iterate on high-quality search experiences.

Responsibilities

• Lead the design and development of large-scale model driven search algorithms including retrieval, ranking, and query understanding
• Define and evolve the technical strategy for search , balancing relevance, latency, and scalability
• Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving
• Partner closely with product, data, and infrastructure teams to shape and execute on the search roadmap and user experience
• Mentor engineers and data scientists and raise the bar on algorithm development, system design, ML and engineering practices
• Identify and drive high-impact opportunities across search and personalization
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Requirements

• 8+ years of industry experience, with 4+ years as tech lead experience (preferred)
• Deep expertise in search and/or ranking algorithms (e.g., retrieval, LTR, semantic search, query understanding, entity recognition)
• Strong experience building large-scale ML systems in production
• Proven ability to lead technical direction and influence across teams
• Experience with online experimentation and metrics-driven development
• Strong programming skills in Python (Java/Go a plus)
• Experience with distributed systems and cloud platforms (AWS/GCP/Azure)
• Solid understanding of data fundamentals (SQL, pipelines, feature stores)
• Excellent communication skills and ability to work cross-functionally

Nice to Have

• Experience with recommender systems or personalization
• Experience with NLP techniques
• Familiarity with vector search / ANN (Faiss, ScaNN, etc.)
• Experience in streaming, marketplace, or content discovery platforms

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $192,570.00 - $357,630.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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Job Overview

Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team—a “startup with assets,” where you will have the chance to deploy cutting‑edge digital and emerging‑technology education solutions.

As a Machine Learning and Generative AI Engineer on our team, you will help lead the development of innovative generative AI products that address the needs of our constituents (students, alumni, faculty, researchers, staff, and the community at large). This key technical leadership role requires hands‑on expertise across the full machine learning and AI lifecycle. You will collaborate with data scientists, product managers, and data engineers to operationalize AI models in production, drive core platform capabilities, and apply these in a variety of domains. You will also develop and deploy novel approaches to optimize existing AI systems and maximize their business value.

You will play a central role in building and scaling our core application platform—the hub within HBS where application developers can share data and code. As custodians of this platform, we will apply best practices and leverage existing repositories to accelerate the path from prototype for GenAI applications and unlock economies of scale. You will be highly influential in advancing our GenAI capabilities, guiding the teams towards impactful and ethical AI. We seek an expert eager to grow and disseminate GenAI expertise across the organization.

Duties and Responsibilities

• Architect, build, maintain, and improve a suite of GenAI applications and their underlying systems.
• Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA and other parameter‑efficient methods.
• Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive logging, tracing, and alerting mechanisms.
• Build guardrails, compliance rules, and oversight workflows into the GenAI application platform, including approval chains for model updates and staged rollouts for production releases.
• Develop templates, guides, and sandbox environments to support onboarding of new contributors and experimentation with emerging techniques.
• Ensure user‑facing applications built on the GenAI application platform are safe and reliable, enforcing rigorous validation and testing before publishing, and implement a clear peer review process.
• Apply an entrepreneurial mindset to identify opportunities to optimize business processes, improve user experiences, and prototype solutions that demonstrate value.
• Work closely with data scientists and analysts to develop and deploy new product features across web and mobile applications.
• Contribute to and promote sound software engineering practices across the team.
• Mentor and educate team members to adopt best practices in writing and maintaining production‑grade machine learning code.
• Actively contribute to and leverage community best practices and open‑source resources.
• Monitor, debug, and resolve production issues in a timely manner.
• Partner with project managers to ensure projects are delivered on time and within budget.
• Collaborate with Technical Product Managers to track algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
• Build trust and collaboration by being present on‑site and engaging directly with colleagues and various constituents.
• Complete other responsibilities as assigned.

Basic Qualifications

• Minimum of five years’ post‑secondary education or relevant work experience.

Additional Qualifications and Skills

• Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired.
• Minimum of two to three years’ software development experience with Python and SQL.
• Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines into a cloud environment.
• Minimum two to three years of experience using PyTorch or TensorFlow, including optimizing code for GPU clusters.
• Experience building advanced GenAI workflows such as retrieval‑augmented generation (RAG), model chaining, dynamic prompting, and parameter‑efficient fine‑tuning (PEFT/SFT) using LangChain, LangGraph, or similar frameworks.
• Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications.
• Experience with embedding models and tuning vector databases (e.g., Qdrant, Pinecone, Weaviate) to improve semantic search and retrieval performance.
• Solid understanding of the theoretical foundations of LLMs, including Transformer architectures and self‑attention mechanisms.
• Experience with relational and NoSQL databases, big data tools (Spark, Kafka), Linux environments, and at least one major cloud provider (AWS, GCP, Azure).
• Familiarity with data pipeline and workflow management tools (e.g., Airflow, Prefect, or Step Functions).
• Strong software engineering fundamentals: unit testing, CI/CD, code reviews, and design documentation.

Additional Information

• Standard Hours/Schedule: 40 hours per week.
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
• Pre‑Employment Screening: Identity, Education, Criminal.
• This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week, with specific hours and days onsite determined by business needs and subject to change with appropriate advanced notice.
• We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in‑person for this role.
• A cover letter is required to be considered for this opportunity.

Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non‑Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits

• Generous paid time off including parental leave.
• Medical, dental, and vision health insurance coverage starting on day one.
• Retirement plans with university contributions.
• Well‑being and mental health resources.
• Support for families and caregivers.
• Professional development opportunities including tuition assistance and reimbursement.
• Commuter benefits, discounts and campus perks.

EEO/Non‑Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non‑discrimination policy. Harvard's equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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Databricks in New York, NY is seeking a seasoned engineer with over 10 years of experience to work on developing ML/AI products for their CustomerLake platform. The role involves evaluating ML approaches and ensuring the models deliver real business value.

The ideal candidate should have strong proficiency in Python and ML frameworks, along with hands-on experience in building personalized solutions that cater to customer behavior.

Competitive salary range is $192,000—$260,000, along with comprehensive benefits.

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Company Overview

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We combine cutting-edge AI with human expertise to deliver security operations that are better, faster, and more cost-effective than traditional approaches.

We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital. Our team is mission-driven, customer-obsessed, and building something that matters — a new standard for how security operations should work.

Culture is one of the most important things at TENEX.AI — explore our culture deck at culture.tenex.ai to witness how we embody our values every day.

This role is perfect for those already in the Sarasota, FL or Kansas City, MO metro area, or eager to join us. Immerse yourself in a high-performance environment built on integrity, innovation, and a relentless drive to protect our customers.

About The Role

As Director of Forward Deployed AI Engineering, you lead the most innovative team in the TENEX FDE organization — a dual-function group of customer-embedded engineers and AI & Data Scientists working to solve hard problems and build solutions that scale. You will define how the team engages with customers, how solutions are built and productized, and how AI-native tooling accelerates the work.

Job Responsibilities

• Lead and scale the Forward Deployed AI Engineering team across its two functions: customer-embedded engineering and AI & Data Science
• Own the team's mandate: embed in strategic customer accounts to discover problems, build high-grade solutions, and produce cross-customer intelligence that elevates the entire platform
• Define the engagement model for FDE work — how engineers are assigned to accounts, how engagements are scoped, and how solutions are documented and productized
• Oversee the AI & Data Science function — ensuring cross-customer telemetry, threat intelligence, and detection optimization work is translated into tools that the SE&A team can operate
• Partner with Sales to identify strategic accounts that are candidates for FDE engagement
• Partner with the SE&A and Rapid Deployment teams to ensure FDE-built solutions flow back into the broader delivery model
• Serve as an executive-level presence with strategic customers — participating in account reviews and helping define the roadmap for embedded engagements
• Evaluate new AI technologies, data science tooling, and engineering approaches that can improve team output and customer outcomes
• Hire, develop, and retain engineers across both the FDE and AI & DS functions
• Report to VP of Forward Deployed Engineering on team health, account coverage, and solution impact

Technical & Industry Expertise

• 8+ years in technical leadership with experience in embedded engineering, professional services, or customer-facing technical roles
• Deep understanding of AI/ML, data science, and cybersecurity domains
• Experience building teams that work in a customer-embedded or problem-first engineering model
• Strong ability to define engagement models, scoping frameworks, and delivery methodologies
• Proven track record partnering with Sales on strategic account identification and expansion
• Executive-level communication and customer relationship management skills
• Experience managing cross-functional collaboration across engineering, security, and data science

Soft Skills

• Strong problem-solving and troubleshooting skills with a bias toward action
• Excellent customer-facing communication and collaboration abilities
• Ability to thrive in a fast-paced, high-performance startup environment
• Passion for cybersecurity, automation, and continuous improvement

Education & Certifications

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)
• Relevant certifications such as CISSP, CISM, GIAC certifications, Google Cloud Professional, Microsoft SC-200/AZ-500, or AWS Certified Solutions Architect are a plus

Why Join Us?

• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and next-generation security platforms
• Collaborate with a talented and innovative team focused on continuously improving security operations
• Competitive salary and benefits package
• A culture of growth and development, with opportunities to expand your expertise in AI, cybersecurity, and engineering
• Be part of building something new — TENEX's Forward Deployed Engineering organization is a greenfield opportunity to define how enterprise security is delivered at scale

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Description

WORK LOCATION: This position is based on a hybrid work schedule and will require in-office work 3 days per week at the Sargent & Lundy office in Peachtree Corners, GA.

Our electric power generation clients are seeking to increase the power output of their existing power plants to meet the electric demands. This is expanding work in the Mechanical Analysis Engineering group. You will work on major systems, equipment, and plant process in the following areas:

• Develop and lead licensing basis system and component evaluations for nuclear power uprate projects.

• This position will offer you the ability to directly apply your knowledge of thermodynamics, heat transfer, fluid mechanics, and experience in power plant engineering.

• Perform consulting level work for power uprates in the nuclear industry.

• Prepare and review calculations related to heat balances, power train pumps, heat exchangers, condenser/heat sink, and plant hazards to support client recommendations and reviews.

• Prepare task reports and equipment evaluations that present technical information in a clear and concise manner to meet client requirements.

• Perform equipment sizing, optimization evaluation, and selection in response to client needs to support the proposed power uprate.

• Interface with clients and project teams to present technical discussions and project status.

• Attend client meetings and site walkdowns to validate scope and ensure client satisfaction.

Qualifications

We do not sponsor employees for work authorization in the U.S. for this position.

Essential skills and experience:

• This position requires a BSME from an ABET Engineering Accreditation Commission-approved program with a strong academic background and interest in thermodynamics, heat transfer, and fluid mechanics.

• 7 or more years of experience in the nuclear power industry.

• Experience with nuclear power uprates and/or turbine retrofit projects.

• Experience and practical knowledge in one or more of the following areas:

• Balance of plant system and component evaluations

• Pinch point assessments and/or task reports

• Heat balance

• Power train pumps, heat exchangers, condenser/heat sink

• Circulating Water and Ultimate Heat Sinks

• All assignments require the preparation of calculations and/or reports, and excellent technical report writing skills are essential.

• Knowledge of the practical application of mechanical engineering and technology including applying systems, principles, techniques, procedures, and equipment to a project design.

• Strong interest in numerical computations and problem solving.

• Working knowledge of codes, standards, and regulations that apply to mechanical engineering design of nuclear power plants.

• Proficiency with MS Office applications.

• Excellent written and verbal communication skills.

  Valued but not required skills and experience:

• MSME from an ABET accredited program with a strong academic background

• PE License

Award-Winning Benefits

At Sargent & Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.

Health & Wellness Financial Benefits Work-Life Balance

• Health Plans: Medical, Dental, Vision

• Life & Accident Insurance

• Disability Coverage

• Employee Assistance Program (EAP)

• Back-Up Daycare

• FSA & HSA

• 401(k)

• Pre-Tax Commuter Account

• Merit Scholarship Program

• Employee Discount Program

• Corporate Charitable Giving Program

• Tuition Assistance

• First Professional Licensure Bonus

• Employee Referral Bonus

• Paid Annual Personal/Sick Time (PST)

• Paid Vacation

• Paid Holidays

• Paid Parental Leave

• Paid Bereavement Leave

• Flexible Work Arrangements

Compensation Range

$95,840.00 - $147,870.00

Transparency Statement

Sargent & Lundy discloses compensation ranges that comply with all local and state regulations. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus.

About This Business Unit

Join Sargent & Lundy's Nuclear Power Group and be part of a team driving the future of clean, carbon-free energy. Since 1954, we’ve been a trusted leader in nuclear engineering, design, and licensing, with expertise spanning small modular reactors (SMRs), advanced reactor technology (ART), and first-of-a-kind commercial reactor restart projects. Our work supports life extensions and digital modernization of existing nuclear plants, coal-to-nuclear conversion initiatives with the Department of State, and international nuclear new-build projects. With a commitment to safety, innovation, and sustainability, we provide cutting-edge solutions that power communities worldwide while reducing emissions. Shape the future of global energy with us!

Awards & Recognition

Equal Opportunity

Sargent & Lundy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any protected status as defined by applicable law.

CityAtlanta

StateGA

CountryUnited States

Area of InterestMechanical Engineering

TypeFull Time - Regular

Job ID

Business GroupNuclear Power Group

DepartmentNuclear Plant Analysis

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Under the direction of Information Services Leadership, the incumbent will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance of machine learning models. The MLOps Engineer will play an integral role in implementing artificial intelligence solutions across Keck Medicine of USC. The incumbent will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve patient care, support operational excellence, and advance clinical research. The incumbent will ensure seamless integration, automation, and scaling of AI solutions within the existing infrastructure by leveraging DevOps expertise. They will maintain and continuously improve MLOps pipelines for monitoring, versioning, and deploying models in production environments. The incumbent will be responsible for the end-to-end lifecycle management of artificial intelligence solutions and comes with DevOps experience, ensuring seamless integration, deployment, and automation of systems. The MLOps Engineer will implement best practices for testing, debugging, and performance monitoring of AI systems to ensure reliability and scalability.

Essential Duties

• Design, build and maintain production-grade machine learning models, with real-time inference, scalability, and reliability.
• Develop end-to-end scalable ML infrastructure using cloud platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Develop AI pipelines for various data processing needs, including data ingestion, pre-processing, and search and retrieval, ensuring solutions meet all technical and business requirements.
• Monitor model performance for data drift and concept drift detection, automate retraining processes where necessary to maintain model accuracy and relevance.
• Collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
• Implement and optimize CI/CD pipelines for machine learning models, automating testing and deployment processes.
• Configure and manage monitoring and logging solutions to track model performance, system health, and anomalies, enabling timely intervention and proactive maintenance.
• Implement version control systems for machine learning models, parameters, results and associated code to track changes and facilitate collaboration.
• Ensure all machine learning systems meet security and compliance standards, including data protection and privacy regulations.
• Lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
• Maintain clear and comprehensive documentation of MLOps processes and configuration.
• Strong communication and collaboration skills, to collaborate cross-functionally and align on deployment strategies and technical requirements.
• Other duties as assigned.

Required Qualifications

• Req Bachelor's Degree in computer science, engineering or closely related field.
• Req Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps lifecycle management. Technical writing and documentation for AI/ML models and processes. Healthcare data and machine learning use cases.
• Req Ability to solve complex problems through troubleshooting.
• Req Deep understanding of coding, architecture, and deployment processes.
• Req Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Req Excellent organizational skills and attention to detail.
• Req Self-starter with the ability to solution when requirements are vague or ambiguous.

Preferred Qualifications

• Pref Master's degree in computer science, engineering or closely related field.

Required Licenses/Certifications

• Req Fire Life Safety Training (LA City) If no card upon hire, one must be obtained within 30 days of hire and maintained by renewal before expiration date. (Required within LA City only)

The annual base salary range for this position is $145,600.00 - $240,240.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Job ID REQ

Posted Date 07/25/2025

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Job Title: Product Design Engineering Manager

Location: Waterloo, Iowa

Salary: $80-90K plus 15% bonus

Job Summary: The Product Design Engineering Manager is responsible for leading a team that manages a defined portion of standard product offerings to support the production schedule. This role focuses on ownership, standardization, continuous improvement, & lifecycle support of existing product platforms, while ensuring designs are manufacturable, cost-effective, compliant, & scalable. The role works closely with other Sr. Engineering Managers leading sub-teams within the department to ensure alignment, consistency, and effective execution across the product portfolio, while supporting Manufacturing, Warranty, & Customer Service functions, and occasionally Sales. This position is expected to manage and develop people while remaining highly tactical and hands‑on with regular on‑site engagement. The position blends strong people leadership with hands‑on technical oversight and close collaboration with manufacturing, sales, quality, and supply chain.

Job Duties & Responsibilities

• Lead, develop, and manage a team of product design engineers supporting production and in‑market products
• Own product architectures, standards, and design intent across heavy haul trailer platforms
• Prioritize and assign engineering work based on production needs, product improvements, cost‑reduction initiatives, and field feedback
• Serve as engineering owner for sustaining engineering, product changes, and platform evolution (non‑NPD)
• Ensure engineering support for production, including rapid resolution of design, quality, and manufacturability issues
• Partner with Manufacturing Engineering and Production to:
  • Improve weldment, fabrication, and assembly methods
  • Improve BOM accuracy, drawings, and release quality
• Lead and participate in structured design reviews and approve engineering changes
• Oversee ECN/ECO execution to ensure timely, accurate, and well‑documented product changes
• Ensure compliance with FMVSS, DOT, and internal engineering and quality standards
• Apply DFMEA, lessons learned, warranty data, and field feedback to improve durability, safety, and product reliability
• Drive design‑for‑manufacturing, design‑to‑cost, and continuous improvement initiatives
• Support sales, service, and operations by providing clear engineering guidance and technical explanations
• Maintain and improve engineering documentation, databases, and design tools
• Assist with development and implementation of standard, pre‑engineered product offerings to reduce custom engineering resource demands and improve schedule execution

Education & Experience Requirements

• Bachelor’s degree in Mechanical Engineering or related discipline
• Experience in heavy haul trailers, heavy equipment, or fabricated mobile equipment
• Strong background in mechanical systems, structures, hydraulics, and manufacturing processes
• Proven experience supporting products in production environments
• Practical, hands‑on engineering judgment
• Strong problem‑solving and root‑cause analysis skills
• Excellent written and verbal communication skills
• Ability to balance cost, performance, manufacturability, and reliability
• Proficiency with CAD tools, Excel, and engineering data systems

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Mauser Packaging Solutions in LaGrange, GA is seeking a Product Engineering Manager to lead design, development, and launch of new rigid plastic packaging products.

You will mentor engineering teams, oversee CAD design, FMEA, testing, and ensure compliance with global plastics recycling and food-contact standards while collaborating with Sales and customers.

This role requires 10–15 years of plastics experience, strong leadership, and travel 15–20%.

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We are seeking an experienced and visionary Director of Mobility & Executive Concierge Solutions Engineering to lead the strategy, architecture, and engineering of Vanguard’s mobile technology platform. This role owns two connected mandates: driving Vanguard’s mobile device capabilities at enterprise scale (iOS/iPadOS, Android, and tablet platforms managed through Microsoft Intune and Workspace ONE), and engineering the technology solutions that deliver a friction‑free experience for senior executives who depend on iPads and mobile devices to lead the firm. The ideal candidate pairs deep modern‑management and automation expertise with the architectural and product vision to design seamless, secure, executive‑grade mobile solutions — all within a highly regulated, production‑grade environment.

In this role, you will:

• Define and own the multi‑year strategy and engineering roadmap for Vanguard’s mobile platform — iPhone, iPad, and Android — including modern management, security baselines, and a seamless user experience.
• Engineer and advance mobile device capabilities: zero‑touch provisioning, app lifecycle and configuration management, BYOD, Conditional Access, and zero‑trust controls that protect the firm without burdening the user.
• Design and develop the technology solutions that make the executive experience frictionless — automated configuration, integration, and self‑healing capabilities that eliminate friction from how executives use iPads and mobile devices.
• Architect and govern Mobile Device / Unified Endpoint Management (MDM/UEM) platforms — Microsoft Intune and Workspace ONE — ensuring compliance, resiliency, and a consistent experience across the mobile fleet.
• Partner with Cybersecurity, Identity, and Risk to deliver secure‑by‑design mobile and executive solutions that meet regulatory and audit requirements while preserving a frictionless experience.
• Drive automation and “infrastructure‑as‑code” practices across the mobile estate to scale capability delivery and reduce manual engineering effort.
• Instrument the platform with telemetry, Digital Employee Experience (DEX) tooling, and fleet‑health analytics so experience quality is engineered and measured, not assumed.
• Govern high‑risk change (OS upgrades, security baselines, major platform shifts) with disciplined, evidence‑based controls that balance modernization velocity with stability.
• Evaluate emerging mobile and endpoint technologies and incorporate them strategically into the workplace technology stack.
• Lead, develop, and mentor a team of managers and engineers; build platform leaders, succession depth, and a culture of engineering ownership, reliability, and excellence.
• Serve as a senior point of partnership and influence with executive stakeholders — communicating roadmap, technical risk, and investment needs in clear, business terms.

What it takes:

• Proven experience leading technical engineering teams at scale in mobility, endpoint, or workplace technology domains within a large, regulated enterprise.
• Deep, hands‑on engineering expertise in modern mobile management — iOS/iPadOS and Android — using Microsoft Intune and/or VMware/Omnissa Workspace ONE.
• Demonstrated track record architecting and delivering mobile technology solutions for high‑visibility or executive user populations, with measurable improvements in experience and reliability.
• Strong command of mobile security and identity engineering: Conditional Access, zero‑trust principles, app protection, device compliance, and Microsoft Entra (Azure AD).
• Hands‑on background in automation and scripting (PowerShell, Graph API) and modern engineering practices.
• Experience governing change, risk, and resiliency in a production‑grade, audit‑sensitive environment.
• Excellent executive communication, stakeholder management, and people‑leadership skills.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience).

Preferred Skills:

• Experience engineering technology solutions for C‑suite or board‑level user populations, including travel‑ready and event/briefing‑center mobile capabilities.
• Familiarity with the broader Microsoft 365 ecosystem (Teams, Exchange Online, SharePoint) and how mobile integrates into the modern workplace.
• Advanced automation, API integration, and tooling skills to streamline provisioning, compliance, and reporting.
• Knowledge of mobile telemetry, DEX platforms, and fleet‑health analytics.
• Experience in financial services or another highly regulated industry.
• Relevant certifications (e.g., Microsoft 365 Certified, Apple Deployment/Device Management) are a plus.

About Vanguard & Our Team:

Vanguard is an industry leader with a mission to give clients the best chance for investment success. Our Workplace Engineering team enables our 18,000+ global crew members to work with cutting‑edge technology — securely, reliably, and effortlessly. This role is central to engineering the mobile platform our leaders rely on every day.

What We Offer:

• The opportunity to architect and engineer a premium, enterprise‑wide mobile platform from the front.
• A collaborative, mission‑driven culture grounded in integrity, client focus, and inclusion.
• Professional development, competitive compensation and bonus, and comprehensive benefits.

Sponsorship:

Vanguard is not offering visa sponsorship for this position.

How We Work:

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in‑person learning, collaboration, and connection. We believe our mission‑driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience.

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Yale New Haven Health seeks a senior leader to manage the Plant Department, overseeing safety, policy compliance, and capital projects. You will guide maintenance, budgets, and energy management while aligning with hospital objectives and quality initiatives.

The role requires 7–10 years of supervisory experience in mechanical/electrical trades or construction, plus a bachelor’s degree in a related field or equivalent. Strong collaboration with hospital teams is essential.

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Job Description

Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team—a “startup with assets,” where you will have the chance to deploy cutting‑edge digital and emerging‑technology education solutions. As a Machine Learning and Generative AI Engineer on our team, you will help lead the development of innovative generative AI products that address the needs of our constituents (students, alumni, faculty, researchers, staff, and the community at large). This key technical leadership role requires hands‑on expertise across the full machine learning and AI lifecycle. You will collaborate with data scientists, product managers, and data engineers to operationalize AI models in production, drive core platform capabilities, and apply these in a variety of domains. You will also develop and deploy novel approaches to optimize existing AI systems and maximize their business value.

Duties and Responsibilities

• Architect, build, maintain, and improve a suite of GenAI applications and their underlying systems.
• Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA and other parameter‑efficient methods.
• Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive logging, tracing, and alerting mechanisms.
• Build guardrails, compliance rules, and oversight workflows into the GenAI application platform, including approval chains for model updates and staged rollouts for production releases.
• Develop templates, guides, and sandbox environments to support onboarding of new contributors and experimentation with emerging techniques.
• Ensure user‑facing applications built on the GenAI application platform are safe and reliable, enforcing rigorous validation and testing before publishing, and implement a clear peer review process.
• Apply an entrepreneurial mindset to identify opportunities to optimize business processes, improve user experiences, and prototype solutions that demonstrate value.
• Work closely with data scientists and analysts to develop and deploy new product features across web and mobile applications.
• Contribute to and promote sound software engineering practices across the team.
• Mentor and educate team members to adopt best practices in writing and maintaining production‑grade machine learning code.
• Actively contribute to and leverage community best practices and open‑source resources.
• Monitor, debug, and resolve production issues in a timely manner.
• Partner with project managers to ensure projects are delivered on time and within budget.
• Collaborate with Technical Product Managers to track algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
• Build trust and collaboration by being present on‑site and engaging directly with colleagues and various constituents.
• Complete other responsibilities as assigned.

Basic Qualifications

• Minimum of five years post‑secondary education or relevant work experience.

Additional Qualifications and Skills

• Bachelor’s degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired.
• Minimum of two to three years of software development experience with Python and SQL.
• Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines into a cloud environment.
• Minimum two to three years of experience using PyTorch or Tensorflow, including optimizing code for GPU clusters.
• Experience building advanced GenAI workflows such as retrieval‑augmented generation (RAG), model chaining, dynamic prompting, and parameter‑efficient fine‑tuning (PEFT/SFT) using LangChain, LangGraph, or similar frameworks.
• Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications.
• Experience with embedding models and tuning vector databases (e.g., Qdrant, Pinecone, Weaviate) to improve semantic search and retrieval performance.
• Solid understanding of the theoretical foundations of LLMs, including Transformer architectures and self‑attention mechanisms.
• Experience with relational and NoSQL databases, big data tools (Spark, Kafka), Linux environments, and at least one major cloud provider (AWS, GCP, Azure).
• Familiarity with data pipeline and workflow management tools (e.g., Airflow, Prefect, or Step Functions).
• Strong software engineering fundamentals: unit testing, CI/CD, code reviews, and design documentation.

Additional Information

• Standard Hours/Schedule: 40 hours per week.
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
• Pre‑Employment Screening: Identity, Education, Criminal.
• Other Information:
  • This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.
  • We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in‑person for this role.
  • A cover letter is required to be considered for this opportunity.

Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non‑Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits

• Generous paid time off including parental leave.
• Medical, dental, and vision health insurance coverage starting on day one.
• Retirement plans with university contributions.
• Wellbeing and mental health resources.
• Support for families and caregivers.
• Professional development opportunities including tuition assistance and reimbursement.
• Commuter benefits, discounts and campus perks.

EEO/Non‑Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non‑discrimination policy. Harvard's equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks a highly motivated Senior Design Engineer for Active Learning to support hands-on, studio-based, and laboratory-driven engineering education across undergraduate and graduate programs.

Reporting to the Director for Design and Fabrication Instruction, this position plays a key role in the support of a broad portfolio of programs, including the Master in Design Engineering, the MS/MBA in Engineering Sciences,

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Principal Process Safety Engineer – BioSpace

Join to apply for the Principal Process Safety Engineer role at BioSpace.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees work to discover and bring life‑changing medicines, improve disease understanding, and give back to communities through philanthropy and volunteerism.

Lilly is currently constructing an advanced manufacturing facility for the production of API molecules. This facility will provide APIs for current and future products, including new modalities. This is a unique opportunity to be part of the leadership team for the startup of a manufacturing site, and the successful candidate will help build the organization, the facility, and the culture to enable a successful startup into GMP manufacturing operations.

Position Overview

The Process Safety Engineer provides technical leadership in process safety management and engineering support across all phases of site development—from construction and startup through operations. The role is part of the HSE team and focuses on building systems, processes, and culture to support GMP manufacturing. During the project delivery and startup phase (expected 2029–2030), responsibilities will be dynamic and collaborative, requiring creativity and resilience to support organizational development and ensure readiness for full‑scale GMP operations.

Responsibilities

• Support the development and implementation of the process safety management (PSM) readiness plan as a collaborative member of the HSE team.
• Act as a key stakeholder in facility design, construction, and startup—providing input on process safety decisions to ensure compliance and alignment with project goals.
• Oversee and support process hazard analyses (PHA) and facility siting studies.
• Develop and implement core PSM elements, including employee participation, Management of Change, Pre‑Startup Safety Review, and PHA.
• Train, mentor, and onboard staff to foster a strong process safety culture.
• Provide oversight of API manufacturing operations.
• Partner with Operations, Maintenance, and Engineering to manage change, ensure safe system implementation, and support startup readiness.
• Ensure application of relevant industry codes and standards (e.g., NFPA 30, NFPA 652, overpressure protection) during projects and change reviews.
• Build technical relationships with corporate and site process safety teams, and engage externally with organizations like CCPS, P2SAC, and ACC process safety groups.

Basic Qualifications

• Bachelor’s degree in chemical engineering, chemistry, or related field of study; CCPSC or PE preferred.
• 3+ years of experience in chemical or pharmaceutical manufacturing.
• Knowledge and experience in process safety, including knowledge of OSHA Process Safety Management (PSM) regulation.

Additional Preferences

• CCPSC or PE strongly preferred.
• Trained in Process Hazard Analysis, HAZOP, and What‑If Methodologies.
• Strong analytical skills and a systematic, structured way of working.
• Strong collaboration and communication skills.
• Trained in Process Hazard Analysis facilitation.
• Trained in Layer of Protection Analysis (LOPA).
• Knowledge of EPA Risk Management Plan.
• Experience interfacing with HSE‑related regulatory agencies.

EEO Statement

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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Overview

Who We Are: Space Kinetic is a cleared, venture-backed startup focused on addressing urgent national security priorities. Our goal is to deliver a suite of asymmetric capabilities for space superiority and missile defense leveraging our proprietary electromechanical deployment system, which enables the rapid deployment of low-cost payloads through space without firing a thruster. Space Kinetic is currently assembling its TRL-5 prototype. Our goal is to leverage this platform to provide the United States with a new tool for securing the space domain and catalyzing the emerging space economy.

What You’ll Do: This position will work on-site at our headquarters in El Segundo, CA. The Lead Payload Electrical Engineer will work in a fast-paced prototyping environment with an aggressive schedule toward flight and should have experience and a general understanding of spaceflight payloads and the effects of the space environment with a technical emphasis on:

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A leading electrical contractor in Kansas City is seeking a Chief Electrical Estimator to manage the estimating function and lead a growing team. The ideal candidate will have over 10 years of experience in electrical estimating and strong leadership skills. Responsibilities include leading the estimating process for large projects and mentoring junior estimators. This position offers a competitive salary and comprehensive benefits, including 401(k) match and paid leave.
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TECHNICAL SALES ENGINEER – PROCESS EQUIPMENT

THIS NEXT HIRE MUST LIVE OR BE WILLING TO RELOCATE TO

Central California (Stockton to Kern County)

| Remote / Field-Based

We are hiring a Technical Sales Engineer to cover Central California for a well‑established manufacturer’s representative firm specializing in bulk solids process equipment and engineered material handling systems.

This is a high‑priority, immediate opening with significant growth potential. The territory is currently producing approximately $1.25M annually, but leadership believes it should be generating closer to $5M with the right person in place.

If you enjoy consultative, application‑driven selling and working directly with plant‑level decision makers to solve real operational challenges, this is an outstanding opportunity.

Location / Territory

• Central California (Stockton south through Kern County)
• Ideal location: Fresno (middle of the territory)
• Candidates can live within 50 miles of Fresno, but may live anywhere in Central CA (excluding Sacramento)
• Minimal overnight travel (mostly local driving and day trips)

What You’ll Be Selling

Bulk solids process equipment and engineered conveying/material handling solutions.

Sales range from smaller service components to full engineered systems exceeding $1M.

You will be calling on industrial and processing facilities including:

• Food production and food processing (largest market in the region)
• Agriculture, animal feed, grain handling
• Cement, concrete, asphalt

What You’ll Be Doing

This is a true technical sales role. The right person will be:

• Calling on plant managers, maintenance leaders, operations managers, and engineers
• Walking processing facilities to understand material flow and operational needs
• Reviewing process bottlenecks and recommending solutions
• Interpreting drawings, layouts, and P&IDs
• Helping customers specify equipment for their process
• Preparing technical proposals and quotes
• Responding to RFQs and supporting the full sales cycle
• Working closely with internal engineering and manufacturer partners
• Managing and growing a defined territory through both existing accounts and new business development

Ideal Candidate Background

This role requires someone who is highly technical and comfortable in customer‑facing environments.

The ideal candidate will have:

• Mechanical Engineering degree strongly preferred (Electrical acceptable)
• Experience selling technical industrial equipment, engineered systems, or capital equipment
• Success calling on industrial plants and end users
• Strong application and process understandingAbility to translate customer challenges into engineered solutions
• Consultative selling mindset (not transactional)
• Self‑motivated and comfortable managing a territory independently

We are NOT looking for a commodity sales rep. This role requires someone who can truly understand plant processes and recommend engineered solutions.

Potential Title Backgrounds

Candidates may currently hold titles such as:

• Technical Sales Engineer
• Applications Engineer
• Sales Applications Engineer
• Industrial Sales Engineer
• Regional Sales Engineer
• Process Equipment Sales Engineer
• Mechanical Engineer looking to move into sales
• Project Engineer with strong customer exposure

Open to Multiple Background Types

Strong fits may include:

• Engineering degree + technical sales experience (ideal)
• Engineering degree + currently working as an engineer but interested in moving into sales
• No engineering degree, but currently selling highly technical industrial/process equipment into similar plant environments

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The Trade Desk is looking for a Head of Engineering for VenturaOS in San Jose, California. This leadership role involves shaping the technical strategy and architecture of VenturaOS while working closely with Product and Business teams.

The ideal candidate will have over 15 years of experience leading engineering organizations, with deep technical expertise and proven success in building platform and infrastructure teams. The position offers competitive compensation and benefits.

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Engineering Manager, Borglet Machine Learning

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience with system software, distributed systems, and complex multi-component software systems.
• Experience in developing and releasing system software products.
• Familiarity with the Linux kernel interface, and containers.
• Understanding of key concepts of performance analysis and tuning with excellent C/C++ programming skills.
• Excellent data analysis and SQL skills.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Our team builds a high performance, reliable and efficient Borglet for ML use cases. We are part of the broader Borglet team, Google's node management agent. We are a strong, systems-heavy team that works closely with cluster management system software, the kernel, with hardware platforms and user applications. This places us in a key position in infrastructure projects and has enabled us to play a critical role in our fast-growing Google Cloud business.

The ML, Systems, & Cloud AI organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Manage a team of engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware.
• Drive team's technical charter and contribute as a tech lead/manager; collaborating with partner teams as well as users across Google (e.g., Compute Infrastructure team, ML teams, Hardware Platform teams, SRE teams, Google Cloud).

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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Senior Director of Facility Development - Hybrid Opportunity

This is a hybrid position based at our corporate office in Brentwood, TN, with on-site work required Monday through Wednesday.

Key Responsibilities

• Lead and oversee external design consultants, contractors, real estate developers, and vendors.
• Collaborate with internal teams to define project requirements and expectations.
• Participate in selecting design, construction, furniture, and equipment vendors.
• Review design documents to ensure compliance with project specifications and operational needs.
• Monitor construction sites and conduct inspections to verify quality and progress.
• Develop, track, and report project budgets, commitments, and expenditures across all categories.
• Analyze contractor pay applications and consultant invoices, coordinate with Finance for payment processes.
• Create and manage project schedules, coordinating with corporate stakeholders.
• Support real estate activities, including review of lease documents for design and construction considerations.
• Maintain accurate project files and archival information.
• Provide cross-departmental support to achieve organizational goals.
• Oversee and coordinate the work of external consultant teams.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in architecture, engineering, construction management, real estate, or related field.
• 10+ years of experience in healthcare facility development, design, construction, or related field.
• Strong knowledge of ambulatory surgery centers, hospitals, and healthcare facilities design and construction requirements.
• Experience serving as an owner’s representative, project manager, architect, engineer, or similar role.
• Proficiency in MS Office, AutoCAD, Bluebeam, and other industry software.
• Familiarity with real estate leases, negotiations, and terminology.
• Ability to read and interpret architectural and engineering plans and specifications.
• Excellent leadership, interpersonal, and communication skills, including public speaking.
• Strong financial management skills with experience in budget oversight.
• Ability to manage multiple complex projects independently in a fast-paced environment.
• Willingness to travel up to 50% of the time by air and/or automobile.
• Physical ability to climb ladders and safely navigate active construction sites.

Desired Attributes

• Collaborative and cooperative work style with physicians, hospital partners, staff, and stakeholders.
• Resourceful, analytical, and decisive problem-solver.
• Commitment to quality, safety, and operational excellence in healthcare facility development.

Assets & Tools Managed

• Project files and record documents.
• Computers, software, and company‑provided tools.

Benefits

• Comprehensive health, dental, and vision insurance
• Health Savings Account with an employer contribution
• Life Insurance
• PTO
• 401(k) retirement plan with a company match

Working Conditions

Normal busy office environment with much telephone work. Possible long hours as needed. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

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Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

As a Senior Sales Engineer, you are directly responsible for providing technical and subject matter expertise to the Global Sales Team. You play a key role in winning new Rithum business with industry-leading retail and brand clients. At this level, you operate as a strategic advisor to both clients and internal teams, leading complex discovery engagements, building executive-level business cases, and driving deals across multi-stakeholder organizations.

Responsibilities

• Drive generation of new revenue with new and existing accounts in collaboration with sales and client management teams.
• Lead the solutions discovery process for technical, functional, and overall value proposition of our retailer and brand solutions.
• Prepare and deliver sales presentations, proofs-of-concept, strategic recommendations, and product demonstrations in person and via screen share-hosted meetings.
• Evaluate prospective and current client's business goals, data & systems integration requirements, and recommend effective strategies to meet these needs.
• Construct and present ROI analyses and business cases that quantify revenue impact, margin improvement, and risk reduction for economic buyers and C‑suite stakeholders.
• Engage economic buyers and executive stakeholders throughout the sales cycle, translating technical capabilities into business impact narratives that advance deal progression.
• Respond to RFIs and RFPs with well‑structured, value‑led responses.
• Synthesize and prioritize client feedback, competitive, and industry information to evangelize and provide feedback to improve product and service delivery.
• Communicate market feedback to product management and services for incorporation to future product developments and service offerings.
• Collaborate cross‑departmentally to ensure a positive and strategic handoff to service teams sharing documentation of goals and requirements generated during sales cycle.

Minimum Qualifications

• 3+ years of presales consultative experience OR direct ownership of an e‑commerce program generating $10 million+ in GMV, including hands‑on management of channel management or marketplace integration platforms.
• Must be located in Pacific or Mountain US time zones.
• Driven, polished, technology‑proficient professional.
• Hands‑on experience supporting teams closing six‑figure contracts against seven‑figure targets.
• Proven experience applying a formal value‑selling framework (e.g., MEDDICC or equivalent) in complex, multi‑stakeholder sales cycles; able to build and defend business cases at the executive and finance level.
• Understanding of common client challenges within the retail and/or e‑commerce industries.
• Knowledge of retail partner ecosystem including marketplaces.
• Experience using AI tools (ChatGPT, Copilot, Claude, etc.) to accelerate and elevate outcomes; including but not limited to communication drafting, data analysis, prompt engineering, and/or documentation.

Preferred Qualifications

• Bachelor’s degree in a related field or discipline.
• Technical working knowledge of API integrations (REST & Webhooks).
• Experience with online retail or brand‑focused solutions preferred.
• Familiar with common enterprise back‑end system solutions, configurations and core requirements.
• Demonstrated executive presence, with the ability to lead conversations with C‑suite and Finance stakeholders to align on business outcomes.

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What It’s Like To Work At Rithum

When you join Rithum, you can expect to work with smart risk‑takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work‑life balance, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum You Will

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work‑life balance through remote‑first working conditions, generous time off, and wellness days.
• Receive industry‑competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices. For this position, the expected base pay range is $110,000‑$150,000 per year. This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience. In addition to base pay, we offer a discretionary bonus for non‑sales roles, a comprehensive benefits package, and, where applicable, sales incentives. For this position, the expected sales incentive range is $42,429‑$70,714.

Benefits

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1.
• A 6% 401(k) match.
• Competitive time off package with 20 days of Paid Time Off, 9 Company‑Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days.
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave.
• Accident, critical illness, and hospital indemnity insurance.
• Pet insurance.
• Legal assistance and identity theft insurance plans.
• Life insurance 2x salary.
• Access to the Calm app and the Employee Assistance Program.
• $65/month Remote work stipend for internet.
• Culture and team‑building activities.
• Tuition assistance.
• Career development opportunities.
• Charitable contribution match up to $250 per year.

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We’re committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we’re here to ensure a seamless experience as you explore opportunities with our team.

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