• Provide Tier 1/2 support for data center systems and services. • Monitor performance/alerts; triage and remediate issues. • Perform routine maintenance, patching, firmware updates, backups, and health checks. • Handle racking/stacking, cabling, and hardware replacements. • Respond to incidents/outages; escalate and document RCAs. • Maintain runbooks, SOPs, and accurate tickets.

• Manage, scale, and optimize cloud environments used for data science workloads (e.g., AWS, Azure, GCP). • Provision, maintain, and optimize compute clusters for ML workloads (e.g., Kubernetes, ECS/EKS, Databricks, SageMaker). • Implement and maintain high-availability solutions for mission-critical analytics platforms. • Develop CI/CD pipelines for model deployment, infrastructure-as-code (IaC), and automated testing. • Build monitoring, alerting, and logging systems for cloud and ML infrastructure (e.g., CloudWatch, Prometheus, Grafana, ELK). • Automate provisioning, configuration, and deployments using tools such as Terraform, CloudFormation, or Pulumi. • Ensure smooth data ingestion, transformation, and model execution workflows. • Support data scientists with reliable, reproducible environments for research and development. • Collaborate with Data Engineering to maintain seamless integration between data pipelines and cloud systems. • Implement data science security controls and compliance requirements for cloud operations. • Conduct periodic risk assessments, patching, and governance reviews. • Support secure handling of sensitive financial and portfolio company data. • Partner with data scientists, machine learning engineers, and data engineers to support data-driven initiatives. • Serve as a technical advisor on cloud architecture, performance optimization, and operational excellence.

Startup Operator About the Role This is a generalist role designed for someone early in their career who wants to learn how a startup actually works—not by watching, but by doing. You will rotate organically across client success, operations, audit support, and whatever else needs doing. There is no fixed lane. One week you might be onboarding a new client. The next you might be reviewing AI-generated workpapers. The week after that you might be building an internal process from scratch or jumping on a sales call to take notes. This is not a leadership development program with a polished rotation schedule and executive mentorship sessions. This is the startup version: you learn by owning real problems, making real mistakes, and shipping real work. If that sounds exhausting, it is. If it sounds exciting, keep reading. What You’ll Do Client Success - Support client onboarding and training on our AI audit platform - Serve as a first responder when clients have questions or issues - Surface feedback and pain points to the team - Help maintain client relationships and identify expansion opportunities Operations - Build and maintain internal processes, documentation, and playbooks - Coordinate projects and keep work moving across the team - Own problems that do not yet have an owner - Identify inefficiencies and fix them before being asked Audit Support - Review AI-generated workpapers and deliverables for quality - Support active engagements during busy periods - Learn audit methodology and help validate AI outputs - Contribute to quality frameworks and checklists Everything Else - Jump into sales calls, demos, or research when needed - Help with hiring, onboarding, and team operations as we scale - Do whatever needs doing to keep the company moving forward Who You Are You are looking for something different. You are not interested in a well-defined role with clear boundaries—you want a place where you can learn fast, contribute meaningfully, and grow into whatever you become. Maybe you did your time at a Big 4 or mid-tier firm and then jumped to a startup where you learned what it means to build, not just verify. Maybe you left audit early to start something, join a tiny company, or take a bet on yourself—and now you are looking for the right vehicle to combine technical credibility with entrepreneurial instincts. Maybe you explored adjacent territory like consulting, FP&A, or product ops, and developed fluency across multiple functions. Or maybe you are early in your career, already feeling the monotony of traditional auditing, and ready to trade stability for the chance to build something that matters. Whatever your path, you are a builder at heart—someone energized by ambiguity, hungry to learn, and ready to do whatever it takes. Must-Haves - 1–6 years of professional experience - Evidence of building something: a project, a process, a side hustle, a team—anything - Strong written and verbal communication skills - Comfort with ambiguity and rapidly shifting priorities - Genuine curiosity and willingness to learn new domains quickly - Bias toward action—you fix problems before being asked Strong Plus - Accounting, audit, or finance background (Big 4, mid-tier, industry, or internships) - Experience at a startup or other fast-paced, unstructured environment - Active use of AI tools in your current work - Side projects, freelance work, or entrepreneurial experiments - Familiarity with audit methodology or financial reporting Green Flags We Love - You have worked somewhere chaotic and thrived - You have taught yourself skills outside your job description - You are more excited about learning than about title progression - You can context-switch without losing threads - You ask “How can I help?” instead of “Is this my job?” Red Flags That Will Not Work Here - Looking for a predictable role with clear career progression - Uncomfortable with direct feedback and rapid iteration - Need significant guidance and structure to be effective - Motivated primarily by prestige, title, or brand name - Viewing this as a temporary stop before returning to a “real” career path Why Join Us You will be an early team member at a company transforming how audit gets done. You will have direct access to founders, real ownership over meaningful work, and the opportunity to learn every part of the business. You will not be a cog. You will be a builder. In two years, you will have experience most people do not get until they are ten years into their career—if ever. You will understand how startups actually work: the chaos, the tradeoffs, the speed, and the satisfaction of building something from scratch. If you want a safe, predictable path, this is not it. If you want to compress a decade of learning into a few intense years, let’s talk. Compensation & Details - Salary plus equity - Remote-friendly with flexibility - Direct access to founding leadership and decision-making - Real ownership and accountability from day one

• Drive CRM and GTM systems infrastructure • Lead day-to-day optimization of institutional GTM workflows • Manage sales reporting, analytics, and planning execution • Support sales enablement and pipeline operations • Work closely with Sales, Marketing, BizOps, Finance, and Product