Engineering Structures Journal Jobs in Richmond Tx Flexible

Hiring CDL-A Truck Drivers

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• BIG PAY. BIGGER POTENTIAL. - Earn up to $200,000+ per year
  
• PATHS THAT GROW - Company & contractor opportunities
  
• FREIGHT THAT FLOWS- 99% no-touch freight that keeps you moving
  

Why Drive for Dart?

We're bringing more pay, more paths, and more possibilities to your local area! Whether you're looking for consistent company pay or the earning power of running as an independent contractor, Dart offers multiple driving paths backed by simple pay structures, easy freight, and nationwide opportunities.

Pick steady miles and stability, ride high as your own boss, or step into truck ownership with programs designed to reduce risk and increase earning power. With no-touch freight, a large operating network, and programs designed to support both company drivers and contractors, Dart lets you choose how you run today - with room to grow tomorrow.

CDL-A Truck Driver Job Overview

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• Pay that puts you in control. Top drivers unlock earning potential up to $200,000+ per year. Depending on the role, earn $0.55-$1.12 base CPM, or choose a percentage-based pay option when running as an Independent Operator.
  
• Bonuses that build real momentum. Boost your earnings with sign-on, referral, and performance-based bonuses, plus limited-time incentives offered throughout the year to reward drivers who keep rolling.
  
• Easy freight that keeps you moving. Run 99% no-touch freight with 80% drop & hook, spending less time waiting at docks and more time driving and earning.
  
• Career freedom that grows with you. Choose a company role or run as an independent contractor (1099). With multiple paths under one roof, Dart lets your career evolve as your goals change.
  
• Equipment you can count on. Drive modern, well-maintained equipment supported by a nationwide network, helping you stay on the road, stay productive, and stay earning.
  

Driver Benefits That Deliver

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• Referral pay that rewards your network. Earn up to $3,000 for every qualified driver you refer, because great drivers know other great drivers.
  
• Recognition that pays back. Take advantage of Dart Diamond Rewards, an annual incentives and recognition program that rewards safe, consistent performance over time.
  
• Paid orientation and fast starts. Company drivers earn paid orientation, and independent drivers benefit from a streamlined onboarding process designed to get you earning quickly.
  
• Support for your life and your future. Company drivers gain access to a full benefits package after 30 days, while independent drivers can take advantage of programs and incentives designed to support long-term success.
  

Please note that pay varies by job type, location, experience level, and performance. Talk to recruiter for details. There is no deadline to apply. Applications are accepted on an ongoing basis.

Driver Requirements

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• Valid Class A CDL
  
• At least 23 years of age
  
• 1 year CDL-A OTR exp. in the last 3 years
  

Reference Number: 12443

Location Details: Remote, United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you'll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you'll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role's hybrid or remote designation.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

What you'll get to do...

Define the Enterprise Integration & Partner Platform Strategy

• Lead the strategy and roadmap for GoDaddy Commerce's headless commerce APIs and partner SDKs that enable external software platforms to embed payments and commerce workflows.
• Develop a clear vision for who integrates with us, why, and how — prioritizing integrations that deliver high merchant and partner value aligned to our platform core competencies.
• Build and maintain a deep understanding of partner evaluation criteria, technical architecture, and enterprise buyer needs — positioning GoDaddy Commerce competitively alongside platforms like Stripe, Adyen, and Finix.

Champion Enterprise & ISV Partner Workflows

• Serve as the voice of enterprise software partners — from technical architects to product leaders — ensuring our APIs, documentation, and certification processes reflect the needs of real integration teams. 
• Map and optimize end-to-end partner workflows: onboarding → certification → go-live → reporting → revenue share → compliance.
• Translate integration complexity (devices, stores, payment endpoints, invoicing, virtual terminals, headless POS) into scalable, configurable platform solutions.

Drive Payments & Commerce Platform Capabilities

• Partner with engineering to define APIs and services for payments, orders, catalog, inventory, customers, and sales channels that support both embedded and in-person commerce.
• Build support for advanced enterprise requirements including: 
  • Multi-entity and multi-location configuration
  • Reporting and commissions APIs
  • Activity and transaction tracking
  • Risk and fraud scoring hooks
  • Customer authentication and tokenization flows
  • Reseller administrator portal
• Collaborate with Payments, Risk, and FinOps teams to ensure accurate settlement, reporting, and reconciliation across embedded payment flows.

Influence and Collaborate with Enterprise Clients

• Meet directly with enterprise partners and resellers to understand their technical and business integration needs, gather feedback, and guide co-development pilots and close sales.
• Partner with Business Development and Solutions Engineering to support partner evaluation cycles, ensuring APIs, sandbox tools, and documentation demonstrate enterprise-grade capability and reliability.
• Translate client conversations into actionable platform requirements, balancing enterprise flexibility with platform scalability.

Deliver Hypothesis-Driven Product Discovery

• Use experimentation and partner pilots to validate API features and developer experiences before scaling.
• Measure what matters: partner integration velocity, merchant attach and retention, API usage, revenue contribution, and partner NPS.
• Continuously iterate roadmap priorities based on adoption, partner satisfaction, and ecosystem performance.

Scale and Evangelize the Partner Platform

• Collaborate with GTM and Solution Engineering to create integration blueprints, API playbooks, and sandbox environments that reduce time-to-value for new partners.
• Define certification standards and reference architectures for recurring vertical use cases.
• Share insights and findings across GoDaddy Commerce to shape our long-term platform strategy for embedded commerce and payments.

Your experience should include...

• 8+ years of product management experience in platform, API, or payments products, with deep knowledge of payments architecture and commerce primitives.
• 2+ years of ISO 8583 financial messaging experience.
• Proven success embedding payments/commerce into enterprise ISV and middleware platforms with measurable adoption outcomes.
• Expert in headless and API-first product development, including API design tradeoffs, SDK usability, and developer enablement.
• Strong client-facing skills leading discovery, solution reviews, and executive briefings with enterprise partners.
• Track record of cross-functional influence across engineering, business development, operations, and compliance teams.

You might also have...

• Experience with platforms such as Stripe Connect, Adyen for Platforms, Finix, Square Developer Platform, or Shopify's Partner APIs.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

IDR is hiring for a 6 Month Contract to Hire Technical Product Owner
Join a leading organization in the data technology sector, where innovation and agility drive success. This fully remote role offers the opportunity to influence key data engineering initiatives, collaborating across diverse teams to deliver impactful digital products. If you're passionate about data solutions, thrive in fast-paced environments, and possess a strong technical acumen, this is your chance to make a difference and grow your career.

Position Overview for the Technical Product Owner:
• Act as a pivotal link between Data Engineering teams and business stakeholders to facilitate successful technology delivery across digital products
• Manage and prioritize data engineering product backlog, ensuring alignment with organizational objectives
• Author user stories and acceptance criteria, leading refinement sessions and sprint planning
• Lead Agile ceremonies including daily standups, sprint reviews, and retrospectives to ensure smooth delivery
• Utilize data and AI tools to analyze issues, optimize workflows, and maintain high quality in product artifacts

Requirements for the Technical Product Owner:
• Proven experience in stakeholder interaction and managing product backlogs in an Agile environment
• Strong documentation skills and the ability to communicate complex technical requirements effectively
• Proficiency with SQL, data engineering processes, and related technologies such as Azure SQL, Data Factory, SSIS, and Azure Data Lake
• Familiarity with Microsoft tech stack and data delivery tools is highly preferred
• Solid understanding of data engineering concepts and successful delivery of technical products

What's in it for you?
• Opportunity to work remotely with flexible hours, supporting a dynamic team that values innovation and autonomy
• Competitive pay rate of $60-68/hr, leading to an annualized salary of approximately $135,000 + 10% STIP
• Be part of a company with a strong focus on data-driven solutions and cutting-edge technology adoption
• Gain hands-on experience with AI-driven processes and advanced data engineering tools

Why IDR?
• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Dedicated Engagement Manager who is committed to you and your success
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.
REMOTE

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