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UKG • Experience with Microsoft tools and applications Preferred qualifications • Bachelor’s degree in accounting or finance, or a related field • MS or MBA • In-house payroll experience including garnishment processing • Certified Payroll Professional (CPP) designation preferred • Demonstrated proficiency in SuccessFactors EC and ECP About the Supervisor, Payroll job Pay, benefits and more: • C ompetitive compensation package • Full health insurance benefits are available on day one • Life and disability insurance • Earn up to 15 days of PTO over your first year • 9 paid company holidays • 401(k) option with company match • Education assistance • Opportunity to participate in a company incentive plan What you’ll do on a typical day: • Oversee and perform tasks related to the analysis, processing and execution of payroll for the US and Canada within SuccessFactors Employee Central Payroll (ECP). • Identify, design and implement automation initiatives to enhance accuracy, efficiency and scalability across payroll operations. • Lead the payroll processing team, overseeing the accurate and timely processing of payroll. • Oversee the withholding and disbursements of both voluntary and involuntary payroll deductions (i.e. garnishments) • Oversee payroll banking activities, ensuring timely resolution of positive pay exceptions, approval of payroll disbursements, finance reporting, and investigation and resolution of finance related exceptions. • Perform and review periodic SOX control testing, ensuring timely completion and accurate documentation of evidence. • Manage external vendors such as PayActiv, YMCA, and Wisely. • Define configuration requirements and perform user acceptance testing for payroll & UKG system enhancements. • Coordinate SNOW case assignments, enforce standards and serve as primary escalation point for the payroll team. • Serve as subject matter expert for cross-functional projects involving new services and enhancements that impact payroll. • Review and conclude (accept/decline) on system access requests. • Provide coaching, mentoring and career development for payroll team members; foster a culture of continuous improvement and operational excellence.

Work location • This position may be based anywhere in the United States and includes travel as part of the responsibilities In this role, the Software Engineer Senior will focus on AI/SDLC and Python, and influence technical direction through strong engineering judgement and collaboration.

Manager – Legal & Compliance Technology , where you will define and execute the strategy that modernizes how the enterprise manages legal operations, regulatory compliance, third‑party risk, and EHS.

Responsibilities • Lead effective brainstorming sessions to generate innovative ideas and solutions • Drive multi-scrum technology feasibility, delivery, and quality in partnership with product and design teams • Establish and gain acceptance for technology roadmaps aligned with product roadmaps • Establish and gain acceptance for technical solutions, serving as a go-to expert for specific capabilities • Articulate technology vision, principles, and roadmaps to diverse audiences, tailoring communication appropriately • Achieve objectively good negotiation results efficiently while maintaining relationships and driving decision-making • Effectively and respectfully drive technical team interactions, persuasively influencing architecture, software design, implementation, and incident recovery • Advise team members on the quality of software designs, code, tests, and documentation • Proactively build strong relationships with product, design, and business/operations counterparts within and across teams • Understand and articulate the financial benefits and costs of capabilities, incorporating this information into decision-making • Thoroughly vet and refine requirements to clearly articulate their intent • Establish clear cost and time commitments to stakeholders, ensuring they are met with assistance • Consistently communicate with stakeholders about expectations and proactively share knowledge to elevate others Qualifications • ​​​​Bachelor’s degree in computer science or related field or equivalent experience • Minimum seven years of professional software development experience, including 3+ years in a leadership role • Strong technical background in relevant technologies (e.g., Go, Java, cloud platforms, CI/CD) • Proven ability to lead and inspire engineering teams, foster collaboration, and drive results • Excellent verbal and written communication skills, with the ability to tailor communication to different audiences • Strong analytical and problem-solving skills, with a focus on finding creative solutions to complex challenges • Experience managing software development projects, including scoping, planning, and execution • Experience working in an Agile development environment • Familiarity with AI Tools and AI First mindset At Optimum, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise.

Oversee streaming infrastructure and modernize the media supply chain. • Bring external perspective and best practices from leading streaming, media, consumer technology, and AI-driven companies • Help shape how Paramount Streaming builds, scales, and applies content intelligence across future AI-driven experiences Basic Qualifications • 10+ years of experience in product management, technical product management, or equivalent product executive team roles • 5+ years leading technical product areas in content platforms, metadata systems, AI/ML infrastructure, content intelligence, data platforms, or adjacent domains • Experience leading PMs or complex technical product areas across engineering, ML, data, design, operations, and business teams • Have experience in delivering large content platforms.

Senior Software Engineer, Smart TV/CTV Location: New York / Los Angeles / San Francisco / Ft. Lauderdale Overview You’ll build and ship Paramount’s Smart TV applications across Samsung Tizen, LG webOS, and other CTV platforms.

Overview Paramount+ is seeking a highly skilled Senior Visual Designer to help elevate visual quality, maintain brand consistency, and support scalable digital experiences across Paramount+ and Pluto TV.

Role Overview We are seeking a Senior Director of Technical Product Management to lead product strategy, execution, and organizational direction for the machine learning platform and infrastructure that powers personalization, content intelligence, and AI-driven streaming experiences across Paramount’s global ecosystem.

WHAT YOU'LL DO • Design, build, and maintain core Roku framework components and application features for Paramount+ • Architect around Roku's constraints: memory limits, render-thread/task-thread boundaries, device performance tiers, and certification requirements • Use RSG 1.3 data transfer APIs, BrightScript Memory Monitor, and Perfetto tracing to find and fix performance problems before users hit them • Build real-time personalization and engagement features — personalized recommendations, dynamic artwork, ad engagement — within Roku's memory and performance budgets • Write clear documentation for components, architecture decisions, and platform-specific patterns • Measure and improve application performance and stability through instrumentation and observability • Work across agile teams and coordinate with backend engineering and DevOps/SRE on service builds and deploys • Review code, pair with teammates, and raise the quality bar across the team • Maintain and improve CI/CD pipelines and testing infrastructure • Design and run A/B tests, then act on what the data says • Use AI development tools to move faster and share what works with the team REQUIRED QUALIFICATIONS • 6+ years writing software • 3+ years building Roku applications • BS in Computer Science, a related field, or equivalent work experience • You know OOP, data structures, and algorithms well enough to design systems, not just pass interviews • BrightScript and SceneGraph SDK, including RSG 1.3 • You can explain Roku's memory model, the render-thread/task-thread split, device tiers, and what certification requires • RESTful API design and data serialization • Roku frameworks and services: RAF, RMF, RokuPay • Unit and integration testing on Roku • HTTP protocol and caching behavior • Git and GitHub • You write and speak about technical decisions in a way that helps people act on them • You use AI tools (Copilot, Claude, Cursor, or similar) to write and ship code faster DESIRED QUALIFICATIONS • BrighterScript and Roku community tooling (ropm, bslint, roku-debug) • Other OTT platforms: Fire TV, Android TV, Apple TV, Samsung TV, LG webOS • Observability tools: Conviva, New Relic, Datadog, Sentry • Microservices and backend-for-frontend patterns • You've worked with personalization or recommendation APIs on resource-constrained devices • E2E testing for connected-device applications • Docker and CI/CD tooling (Jenkins or similar) • GraphQL • You share AI tools and workflows that save the team time • You care about UX enough to push back on Product and Design when something isn't right • You say "I don't know" when you don't know • You've worked across time zones without waiting for meetings to unblock you WHAT GOOD LOOKS LIKE • You open a 200-file BrightScript repo you've never seen and start making changes the same day • Other engineers read your code and understand it without a walkthrough • You notice a memory spike on a Roku Express before QA files a ticket.

Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.

The Principal 2 IT Engineer – Data & Analytics plays a key role in delivering and maintaining the data assets required for enterprise reporting, analytics, automation, and AI initiatives.

The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. ​ Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Synthesis Planning and Optimization.

The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. ​ Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist building agents for applied small-molecule drug design.

In this role, you will: • Develop methods in self-supervised representation learning and generative modeling. • Contribute to publications and present your results at internal and external scientific conferences. • Collaborate and execute on research that pushes forward the state of the art in machine learning.

We are looking for exceptional machine learning scientists who want to perform high quality research at the intersection of machine learning, structural biology, and physical sciences to directly accelerate drug discovery. • Design and train foundation models at scale to answer challenging research questions in large-molecule drug discovery and protein engineering. • Leverage massive structural biology and biophysical datasets, building novel architectures that capture complex geometric and physical priors. • Contribute to publications and present scientific findings at internal and external venues. • Solve real, pressing problems in drug discovery that enable new portfolio capabilities In this role, as a Senior ML Scientist you will: • Design and train foundation models at scale to answer challenging research questions in large-molecule drug discovery and protein engineering. • Leverage massive structural biology and biophysical datasets, building novel architectures that capture complex geometric and physical priors. • Contribute to cross-functional research teams across the Computational Sciences Center of Excellence. • Drive publications and present scientific findings at internal and external venues. • Solve real, pressing problems in drug discovery that enable new portfolio capabilities Who you are • PhD degree in Computational Biology, Computer Science, Chemistry, Physics or related disciplines, with up to 2 years of industry research experience (Scientist) or 2+ years of industry research experience (Senior Scientist). • Demonstrated experience with Python and deep learning libraries such as PyTorch and/or JAX. • Demonstrated experience architecting and training deep learning models, particularly utilizing modern approaches (e.g., multimodal representation learning, geometric deep learning, and diffusion models). • Expertise in molecular dynamics simulations and classical force fields (e.g., AMBER, CHARMM, OpenFF), as well as hands-on experience with molecular modeling tools (e.g., OpenMM, Rosetta). • Demonstrated research experience, including at least one first author publication (or equivalent). • Strong communication and collaboration skills • Public portfolio of computational projects (available on e.g.

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You'll lead engineering efforts focused on • Fraud detection and platform integrity — identity verification, abuse prevention, risk scoring, and the LLM-powered decision engines and evaluation pipelines that catch fraudulent behavior as attackers adapt • Compliance and operational infrastructure — the reliability, scalability, and core foundations that allow Mercor to operate globally and meet the obligations of working with the world's leading AI organizations You'll be responsible for building systems that sit at the center of the AI ecosystem and protect the trust that makes expert knowledge usable at scale.

What You’ll Work On Build and scale teams • Manage and grow a team of 6–10 engineers • Coach and develop high-potential engineers • Establish strong ownership, culture, and execution standards • Shape the team: define hiring processes, establish engineering practices, and scale a high-performing team from the ground up Drive Applied AI systems and outcomes • Drive insights and methodology behind evaluation systems that benchmark and improve model performance • Lead development while driving improvements in data quality, operational efficiency, system stability, and scalability • Scale products that generate high-quality training data and improve human-in-the-loop workflows Own technical direction • Lead system design for complex AI systems • Stay close to the technical work and guide engineers through ambiguous problems • Translate high-level AI goals into clear engineering roadmaps and execution plans Operate across a broad scope • Partner with product, research, operations, and external AI labs • Work across systems, data insights, and custom partnerships to drive model quality Shape the organization • Introduce lightweight processes as the organization scales • Hire and develop strong engineering talent • Help define engineering management at Mercor What We’re Looking For • 6–10 years in engineering; 2–3+ years managing teams • Strong background in building scalable systems • Ability to lead in ambiguous environments with sound technical judgment • Proven ability to coach engineers and drive execution • Strong ownership mindset with pragmatic decision-making Who Thrives Here • We’re looking for engineering leaders who take ownership in ambiguous environments, make pragmatic decisions, and consistently deliver measurable impact.

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