Forward Science Technologies Llc Jobs in Usa

Open date: August 7, 2025

Most recent review date: Tuesday, Mar 3, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Aug 7, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Berkeley Law is generating an applicant pool of qualified instructors should openings arise.

Berkeley Law is one of the premier law schools in the United States. Our programs are demanding, engaging, hands-on, and selective. As with all our faculty, we expect our lecturers to demonstrate a strong commitment to academic rigor and intellectual diversity.

Berkeley Law strives to educate responsible, effective, and forward-thinking advocates who serve the public through legal practice, public policy, academic scholarship, and related fields. In doing so, the school addresses some of society's most pressing challenges by leveraging its strengths in teaching and research to improve law, policy, and public institutions. At the heart of Berkeley Law's public mission is a commitment to access, affordability, and empowering students from all backgrounds to pursue impactful careers across a wide range of professional paths.

The J.D. and LL.M. programs host a diverse and constantly evolving curriculum. Hundreds of courses are offered, including dozens in our top-ranked Law and Technology, Business Law, International Law, Environmental Law, and Social Justice programs.

This pool encompasses courses on intellectual property law, copyright, patent and patent litigation, trademark, trade secret, regulated digital industries, privacy, cybersecurity, computer programming, biotechnology and life sciences innovation law, computer law, videogame law, art and cultural property, entertainment law, computer crime law, wine and alcoholic beverages law, Artificial Intelligence and the law, law governing use of Name, Image & Likeness, and other major and emerging practice areas in law and technology.

Instructors for lecture courses are appointed in the Lecturer title; instructors for experiential center courses are appointed to the Field Work Supervisor title. The applicant selected will have important teaching responsibilities, including preparing course materials (such as the syllabus) and maintaining a course website, and will also be expected to hold office hours, assess and offer feedback on student work, assign grades, and advise students.

UC Lecturers and Field Work Supervisors are academic appointees in an organized bargaining unit and are exclusively represented by the American Federation of Teachers - Unit 18.

* Bachelor's degree, or equivalent international degree, is required at the time of application.

* J.D., Ph.D., M.B.A., LL.M. or Master's degree, or equivalent international degree, and a minimum of three years of professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States, or

* Bachelor's degree and a minimum of six years professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States.

* Availability to teach in-person during required law school class times.

* Experience teaching courses in a United States law school, with outstanding student valuations; and/or

* Five or more years of legal practice experience in the United States or another jurisdiction, in the area of law and technology.

Teaching evaluations and/or other materials or information may be requested of top candidates.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Teaching Statement - Please address the following questions related to your potential teaching at Berkeley Law. Please limit your response to 300 words.

  
  
  

  -- Please discuss your competencies and experiences relevant to successful instruction for law school courses, including your prior law teaching experiences, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. We also welcome information about other aspects of your professional experience as it is specifically relevant to teaching at Berkeley Law.

  
  

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UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

A service offering of the law firm Fenwick & West, FLEX by Fenwick provides high-quality attorneys to technology and life sciences companies in need of interim in-house counsel. Much like our market-leading, entrepreneurial client base, Fenwick constantly seeks ways to innovate and remain best in class both for our legal work and for our client service. With this in mind, the firm launched FLEX.

As a FLEX attorney, you will have access to temporary in-house counsel opportunities with cutting-edge companies throughout the tech sector. Upon joining our attorney roster, we will contact you about potential engagements that fit your skill set and availability, and you let us know whether you'd like us to share your bio with the company. We don't assign you work, and you're never under any obligation to take on work. Simply put, you set the parameters of what you're looking for, and we try to match you with suitable clients and engagements.

As our clients continue to transition from remote to hybrid working arrangements, we are seeking attorneys able to be on site several days per week in the San Francisco and/or Silicon Valley areas. The skill sets our clients come to us for generally include (but are not limited to):

• experience drafting and negotiating a wide variety of technology transactions, including inbound and outbound SaaS, software, and hardware agreements; distribution, channel, and reseller agreements; joint development, joint venture, collaboration, and strategic alliance agreements; and privacy, non-disclosure, and confidentiality agreements
• experience working with internal engineering, product, design, security, privacy, and marketing teams throughout the product development life cycle, advising on regulatory requirements and how to mitigate risks for new technologies
• experience advising on corporate governance, public company reporting, M&A due diligence, and routine corporate housekeeping matters.

Attorneys at all levels of practice will be considered, and we will contact you if your experience is a good fit for our anticipated client needs. Attorneys who have previously onboarded with FLEX do not need to apply as you are already under consideration for active client needs.

You can learn more about FLEX at We look forward to hearing from you!

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

About the AISI Fellowship 

The Boston Consulting Group’s AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world’s most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. 

Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. 

Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. 

What You'll Bring

• Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains.
• Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. 
• Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners.
• Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. 
• Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact.
• Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. 
• Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive):  
  • AI-accelerated materials discovery and optimization
  • Scientific foundation models (biology, chemistry, climate, or physical systems)
  • Simulation-augmented learning (e.g., physics-informed ML, RL + simulators)
  • Compute-enabling technologies (chip design, process optimization, algorithm–hardware co-design)
  • Quantum algorithms and hybrid classical–quantum workflows 

Who You'll Work With

Program Details

• Duration: 24 months, with possibility of transition into full-time role at BCG X.
• Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. 
• Resources: Full access to BCG’s infrastructure, compute resources, research datasets, and partner ecosystems. 
• Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. 

What Success Looks Like

By Month 6 

• Leading or co-leading a defined AISI research workstream
• Delivering models, methods, or code integrated into an active project
• Establishing a clear publication and/or IP trajectory identified

By Month 12 

• Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. 
• Being recognized internally as a go-to contributor in a priority scientific domain.
• Actively collaborating with at least one external partner or client R&D team.

By Month 24 

• Delivering multiple high-quality research outputs and/or patented IP.
• Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. 

Additional info

Why Join AISI?

•  Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. 
• Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery.
• Design and explore high-upside ideas that align with your research vision and AISI’s strategic priorities.
• Help build the foundational talent model for AISI as it scales into a global scientific innovation engine.

What This Fellowship Is Not 

• A traditional academic postdoc with a single PI and a narrowly defined research agenda.
• A consulting role focused on slide production or short-term delivery.
• A pure ML engineering role detached from scientific problem-solving. 

How to Apply 

• Submit your Resume/CV and a 1–2 page statement of interest attached to it (research background, domains of interest, and why AISI) 
• Share any relevant links to publications, code, or personal projects 

You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.

At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees – and their eligible family members. * That’s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: 

• Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children 

• Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs 

• Dental coverage, including up to $5,000 in orthodontia benefits 

• Vision insurance with coverage for both glasses and contact lenses annually 

• Reimbursement for gym memberships and other fitness activities 

• Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan 

• Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement 

• Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) 

• Paid sick time on an as needed basis 

*Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. 

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.

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

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

Learn more at Fractal | Intelligence for Imagination.

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

About the Role

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

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

Responsibilities

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

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

Technical Depth (Hands-On Architecture)

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

Executive Presence & Live Architectural Thinking

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

Team Leadership (Building & Driving Senior ICs)

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

Forward-Deployed & Embedded Delivery

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

Candidate Profile

Technical Qualifications

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

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

Non-technical Qualifications

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

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

Strong Preferences

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

Who Thrives Here

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

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

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

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

• Do you want to earn $20.50/hour?
• Do you enjoy fast-paced independent work?
• Do you enjoy working outside and in your community?
• Are you customer service and safety-obsessed?

• Must be at least 21 years old and eligible to work in the U.S.
• High-school diploma (or equivalent)
• Lift packages up to 50 lbs
• Must have a valid driver's license
• Must be free of major accidents or major driving infractions
• Full Time: Must be able to work 10-hour days, 4 days a week
• Part Time: Must be able to work 10-hour days and weekends
• All applicants must be able to work weekends and holidays

• Professional growth: We offer career growth opportunities such as moving into Lead Driver, Dispatcher, or Operations Manager roles, DOT certification opportunities, and professional development coaching and training!
• Team environment: A fun, fast-paced, and supportive company culture that focuses on winning together!
• Independence: Spend the majority of your day on the road delivering smiles to customers in your community!
• Stay active: You'll be on the move during your shift as you deliver packages from the delivery vehicle to the customer's doorstep!

Join Our Team as a Website Tester at Little Wheel

Little Wheel is a gambling technology company focused on researching and building products that put players first. We are currently hiring Website Testers across Michigan, New Jersey, Pennsylvania, and West Virginia.

This is a great opportunity to earn extra income on a flexible schedule while helping us test online casinos. No prior experience is required, and all training is provided.

This is a short-term contract, with opportunities for ongoing work for high performers.

Role Overview

As a Website Tester, you will:

• Participate in user experience testing on various online casino platforms.
• Follow step-by-step instructions to complete assigned tasks.
• Record feedback and report bugs or usability issues.
• Provide detailed insights into your testing experience.
• Complete all testing assignments within set timelines.

Requirements

To be eligible, you must:

• Be at least 21 years old.
• Reside in one of the following states: Michigan, New Jersey, Pennsylvania, or West Virginia.
• Own a laptop or desktop computer.
• Be able to complete a short, paid online training and onboarding process.

No previous testing or gambling experience is needed. You will not be gambling with your own money, and there are no fees or out-of-pocket costs. All the interactions/game-play would be for testing purposes.

Compensation and Benefits

• Guaranteed earnings of at least $1,000 for approximately 20 hours of testing.
• Minimum of $25/hour, with higher pay for faster testers.
• $100 bonus upon completing the onboarding program.
• Flexible schedule – choose when you want to work.
• Work from home – test websites from the comfort of your own space.
• Fast payments – get paid after each of the 4 testing stages.
• Excellent support – coordinators available daily from 6 AM to 11 PM ET.

What Our Testers Say

"Great side gig for some extra cash. The team is very communicative and will answer any questions/concerns!" – Maria, Trustpilot (2021)

"Tasks are clearly explained with step-by-step instructions. You can work when it's convenient. Support is very helpful and responsive." – Anonymous, Glassdoor (2025)

Read more reviews on Glassdoor, Trustpilot, and Google.

Equal Opportunity Statement

Little Wheel LLC is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive environment for all applicants and employees, regardless of race, religion, color, national origin, gender identity, sexual orientation, age, disability, or veteran status. We celebrate diversity and strive to create a workplace where everyone feels valued.

Company Info

Website: Address: Little Wheel LLC, 250 Pehle Ave, Suite 200, Saddle Brook, NJ 07663 Phone: (833) 313-7490

Join Our Team as a Website Tester at Little Wheel

Little Wheel is a gambling technology company focused on researching and building products that put players first. We are currently hiring Website Testers across Michigan, New Jersey, Pennsylvania, and West Virginia.

This is a great opportunity to earn extra income on a flexible schedule while helping us test online casinos. No prior experience is required, and all training is provided.

This is a short-term contract, with opportunities for ongoing work for high performers.

Role Overview

As a Website Tester, you will:

• Participate in user experience testing on various online casino platforms.
• Follow step-by-step instructions to complete assigned tasks.
• Record feedback and report bugs or usability issues.
• Provide detailed insights into your testing experience.
• Complete all testing assignments within set timelines.

Requirements

To be eligible, you must:

• Be at least 21 years old.
• Reside in one of the following states: Michigan, New Jersey, Pennsylvania, or West Virginia.
• Own a laptop or desktop computer.
• Be able to complete a short, paid online training and onboarding process.

No previous testing or gambling experience is needed. You will not be gambling with your own money, and there are no fees or out-of-pocket costs. All the interactions/game-play would be for testing purposes.

Compensation and Benefits

• Guaranteed earnings of at least $1,000 for approximately 20 hours of testing.
• Minimum of $25/hour, with higher pay for faster testers.
• $100 bonus upon completing the onboarding program.
• Flexible schedule – choose when you want to work.
• Work from home – test websites from the comfort of your own space.
• Fast payments – get paid after each of the 4 testing stages.
• Excellent support – coordinators available daily from 6 AM to 11 PM ET.

What Our Testers Say

"Great side gig for some extra cash. The team is very communicative and will answer any questions/concerns!" – Maria, Trustpilot (2021)

"Tasks are clearly explained with step-by-step instructions. You can work when it's convenient. Support is very helpful and responsive." – Anonymous, Glassdoor (2025)

Read more reviews on Glassdoor, Trustpilot, and Google.

Equal Opportunity Statement

Little Wheel LLC is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive environment for all applicants and employees, regardless of race, religion, color, national origin, gender identity, sexual orientation, age, disability, or veteran status. We celebrate diversity and strive to create a workplace where everyone feels valued.

Company Info

Website: Address: Little Wheel LLC, 250 Pehle Ave, Suite 200, Saddle Brook, NJ 07663 Phone: (833) 313-7490

About the Role & Team

Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe.

Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us.

Are you an OT or ICS engineer who has an interest and aptitude for network design and cyber security?

As a Ride Control Systems Security Engineer you will work within Walt Disney Imagineering’s Ride Studio on multiple ride attraction projects and are responsible for network architecture and cyber security design and implementation activities on new ride projects for installation in all our parks across the globe.  Join us in a highly collaborative and self-directed atmosphere to lead efforts applying leading edge network technology on Disney rides!

You will report to the Ride Controls Systems Engineering Executive

This is a full time role.

What You Will Do:

• Lead Operational Technology (OT)/ Industrial Control Systems (ICS) network architecture and cyber security systems development, design, and implementation for automation and embedded control systems on a wide variety of large-scale, highly complex, and innovative ride systems
• Perform engineering design and analysis for ride system networks, with focus on automation system architecture
• Design and test cyber security solutions and network architectures for ride systems
• Design, model, and analyze data network communication systems
• Research and test new products, technologies, and methodologies and conduct trade-off studies
• Prepare and propose new cyber security and network architecture concepts and standards
• Lead standards and policies development for ride control network and cyber security architectures
• Collaborate with and support project teams on network requirements, implementation, and issues
• Collaborate with attraction development teams to design and deliver ride networks
• Develop and analyze OT network performance requirements for high availability real-time system
• Develop and capture requirements and functional specifications in documents, drawings, and models
• Develop implementation plans and budgets for ride control network systems
• Develop and implement mock-ups and prototypes for proof-of concept efforts
• Develop test requirements and documents and conduct ride network installation/commissioning efforts

Required Qualifications & Skills

• At least 3 years of experience with design, engineering, installation, and commissioning of highly networked automation, process control, and industrial control systems
• At least 3 years of experience in network systems design, installation and configuration
• At least 3 years of experience with Linux and Windows system administration experience
• Demonstrated experience in network design and analysis approaches to ensure and balance network availability, performance, resiliency and security
• Knowledge of wired and short-range wireless communication networks used in high availability industrial and embedded applications
• Solid understanding of communication technologies/protocols: TCP/IP, CAN, Serial, ProfiNET, Ethernet/IP, EtherCAT, 802.11
• Demonstrated experience in wireless communications for control and monitoring high-availability safety critical systems
• Demonstrated experience evaluating and remediating network and system vulnerabilities
• Demonstrated experience with cyber security technologies including firewalls, endpoint security solutions, VPNs, network security monitoring and detection, and security information and event management (SIEM).
• Solid skills in technical document writing
• Ability to travel and work both domestically and internationally, for varying durations that could be up to 3 months
• Ability to handle multiple complex efforts simultaneously, coordinate team efforts, and manage tasks and priorities
• Ability to maintain knowledge of constantly changing network and cyber security concerns in OT/ICS systems

Preferred Qualifications and Skills

• Proficient in Rockwell and/or Siemens automation systems architecture and components
• Experienced in fail-safe and safety-related system design and analysis
• Experience with multitasking software platforms and design approaches
• Experience with wired and wireless network design and configuration
• Experience with firewalls, VPNs, network security monitoring, and vulnerability assessment tools
• Knowledge of software configuration management/version control tools
• Cisco, GIAC, CompTIA or other relevant network and cyber security certifications strongly preferred

Education

• As a minimum a Bachelor of Science Degree in engineering, computer science, or related field from an accredited university required; Electrical Engineering preferred

Additional Information:

• Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at  

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