• As an expert in finance analytics, you will architect and evolve the product finance analytics function • Serve as a strategic finance advisor to the CPO, CTO, and senior leadership team • Lead complex, ambiguous analytical investigations to uncover the drivers behind product growth, engagement, monetization, retention, expansion, and churn • Own the product financial performance management framework • Build and maintain dashboards and reporting tools that deliver timely, trusted product performance and revenue visibility • Write and optimize complex SQL queries to extract and transform large datasets • Build scalable analytics processes and operating models • Uphold data governance and quality standards within the Finance domain

Role Description As a Software Engineer at Nex, you will contribute to building the technical foundations that power our platform's most demanding capabilities. In the ML Engineering track, you will build the infrastructure that accelerates machine learning research: - Training pipelines - Data workflows - Model integration systems - Tools that enable rapid experimentation Your work ensures researchers can iterate reliably and move experiments toward production readiness. The role offers the opportunity to work on deeply technical problems in: - Machine learning systems - Data infrastructure - Sensing technologies - Real-time inference You will be part of a small, highly technical team that values both specialization and collaboration, with clear ownership of core technology areas. The Mindset You are drawn to solving complex technical challenges at the intersection of research and production engineering. You care deeply about building systems that are reliable, performant, and maintainable. You thrive in environments where technical depth matters, where your expertise in: - ML systems - Distributed computing - Real-time software directly shapes what the platform can do. What You’ll Do - Design and build training pipelines, data workflows, and model integration systems - Develop infrastructure that accelerates research iteration and reduces turnaround time - Build systems for data collection, curation, and preprocessing at scale - Create tools and automation that move experiments toward production readiness - Optimize data pipelines for reliability, performance, and observability - Collaborate with ML researchers to understand their needs and remove technical blockers - Work on model serving infrastructure and integration with the production framework - Write clean, well-tested code that maintains high engineering standards - Participate in code reviews and help raise the engineering bar across the team - Contribute to shared tools, infrastructure, and cross-role projects (20% Time) - Work with the dual-leadership model (Engineering Manager and Tech Lead) to understand priorities and technical direction - Document systems and decisions to support team knowledge sharing Qualifications - 3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms - Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go) - Hands-on experience with PyTorch or TensorFlow in production or research environments - Experience building or maintaining ML training pipelines or data workflows - Familiarity with model deployment, inference optimization, or MLOps practices Nice To Have - Experience with distributed training systems or GPU-accelerated computing - Knowledge of data versioning, experiment tracking, or ML metadata management - Familiarity with containerization (Docker) and orchestration tools - Contributions to open-source ML projects or research publications - Experience working in small, high-performance technical teams - Background in startups, high-growth environments, or consumer product companies - Passion for pushing technical boundaries and deep problem-solving Benefits - Competitive compensation package - Flexible working hours and vacation policy - Product-driven culture that treasures talents and individual growth - Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field

• Lead, mentor, and manage a team of software engineers, fostering a culture of collaboration, learning, and accountability. • Drive the technical vision in alignment with product goals, collaborating closely with other engineering and product teams. • Support the career growth of engineers by providing regular feedback, coaching, and development opportunities. • Foster an environment of continuous improvement to identify, develop, and implement process changes to increase efficiency. • Helping the team proactively pay down tech debt by allocating time and resources to refactor and optimise existing systems to ensure long-term stability and scalability. • Evaluate new technology and provide input on best practices in developing proposals and strategies for software design activities. • Grow, develop and retain an incredible team of engineers and foster a culture of excellence and supportive collaboration. • Coordinate tasks and set team goals with a focus on achieving strategic business objectives.

Title: Sr Manager, Software Engineering Location: Atlanta, GA - 6305 Peachtree Dunwoody Rd Bldg B Burlington VT Irvine CA time type Full time Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Compensation includes a base salary in the range of $148,500.00 - $247,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description Cox Automotive is seeking a Senior Manager, Software Engineering to lead and work side by side with teams modernizing the Dealer.com platform, a cornerstone of Cox Automotive’s digital retail ecosystem powering thousands of dealership websites and connecting millions of consumers to their next vehicle. This role is at the center of the AI transformation of both the teams and the platform. It is not a steady-state management position. It is a transformation role, one that requires equal parts, technical judgment, people leadership, and the ability to drive structural change while keeping delivery on track. This role will report to the AVP of Software Engineering and works across engineering, product, design, and architecture, spanning both the Dealer.com platform and AI-driven initiatives, in close alignment with the AVP and Director of Engineering. The Sr. Manager will lead a team of Engineering Managers and a group of individual contributors working across consumer-facing dealer websites and the dealer tooling that powers them, systems that run on a significant scale with real consequences when they go wrong. This role operates with a high degree of autonomy. The Sr. Manager will set technical direction, make decisions, and move the organization forward. What You'll Do Provides leadership and oversight to the Software Engineering group. Oversee team efforts to apply the principles of secure software engineering to the design, development, maintenance, testing and evaluation of software and cloud infrastructure. Engages with cross-functional leadership to understand business requirements, architecture and technology direction and evaluate alternative approaches, ensuring software and systems are designed accordingly. Incorporates state-of-the-art concepts and practices to facilitate system functionality, scalability, resilience and security, as well as ease-of-use (developer / user experience). Ensures appropriate application of agile principles to software development with a focus on delivery of business value, collaboration and continuous improvement. Responsibilities - Directs the efforts of subordinate managers and professional staff. - Creates and/or reviews technical assessments, rough order of magnitudes and high-level requirements for assigned projects. - Works with customer facing organizations to produce final specifications. - Collaborates with software and other engineers on developing and maintaining Solution Architecture’s roadmap and vision. - Drives execution of solution development through allocation and management of resources. - Drives decision-making processes to consensus and ensures that steps are taken to implement the solution roadmap. - Defines and monitors the team’s success metrics. Who You Are: - Bachelor’s degree in Computer Science or related field, and 8 years’ experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years’ experience; a Ph.D. and 3 years’ experience in a related field; or 20 years’ experience in a related field. - Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. - Skilled in analytical thinking, business acumen, requirements analysis, software installation and support and technology savvy. - Skilled in building partnerships, engaging others, guiding team success, leading change and leading with vision. - Experience with an Agile or SCRUM/KANBAN based methodology. - Effective communicator both verbal and written. - Exceptional and proven leadership skills. - Ability to diagnose and resolve problems independently with creative approaches. - Ability to create clear goals and foster accountability/ownership. - Skilled in balancing risk with time-to-market objectives. How We Work - AI-First: AI accelerates. Engineers decide. Every team defaults to AI tooling before reaching for a human solution — then a senior engineer owns the outcome. - Spec Before Code: Nothing ships without a spec. Acceptance criteria, architecture decisions, tests, and observability requirements are written before the first line of code is committed. - Outcomes Over Output: We measure delivery by platform health and business impact, not lines of code or ticket velocity. - Data Before Opinion: Decisions come from production telemetry and measured outcomes, not seniority or whoever spoke last in the room. - Operate With Autonomy: Bring recommendations, not questions. Bring solutions, not status updates. - Cross-Functional Alignment: Work across Product, Design, Architecture, and Engineering to align on direction and delivery. Engineering does not execute in isolation. AI and AI-Transformed (AIT) Engineering model - Stand up and sustain AI-Transformed team structures across all engineering domains — smaller, more leveraged teams that deliver at a pace traditional staffing models cannot match. - Establish spec-driven development as the non-negotiable default. Every feature is fully specified before a line of code is written, with AI used to accelerate spec scaffolding and test generation. - Integrate AI coding assistants as production-grade team tools, not optional experiments. Track AI-assisted throughput as a performance signal and use it to inform resourcing decisions. - Establish clear quality gates for AI-generated output. Engineers own review, validation, and production accountability for everything AI assists in producing. AI accelerates; humans are accountable. Drug Testing To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.