Strategy & Ops Associate, Applied AI

About the role

The role advances operational tooling for a remote-first, Y-Combinator company that connects healthcare professionals with workplaces. The associate strengthens the foundation of the operational stack and partners with leadership to scale systems. The role focuses on improving day-to-day operations across support platforms, AI-driven systems, and internal automations.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

Requirements

Technical fluency with APIs, integrations, and automation tooling to build, debug, and adapt across systems. Execution discipline to drive defined problems through to completion while managing multiple priorities and maintaining high quality. Systems thinking to understand how tools, workflows, and dependencies connect and to improve system-level operation. Problem-solving to translate loosely defined or scoped problems into practical, well-structured solutions. Ownership mindset to deliver high-quality work and improve team operations through better tooling and processes.

Nice to have

Experience working with support platforms such as Zendesk. Familiarity with AI-driven tools and automation workflows. Background in Ops, Support, or CX environments. Experience working with evolving or fragmented tooling stacks.

Practical notes

The role is remote-based in the U.S. Applicants should expect a hiring process that includes a case study, a case interview with a team member, an interview with Head of Core Services, an interview with Head of Operations, and a final culture interview with executive leadership. Clipboard does not ask for money or bank details during hiring; report suspected scammers via the provided form. Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

The role operates within an app-based marketplace connecting healthcare professionals to workplaces. The associate will contribute to scaling operational systems as the team grows to serve more communities.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

A Clipboard is a thin, rigid writing board with a clip at the top for holding paper in place. A Clipboard is typically used to support paper with one hand while writing on it with the other, especially when other writing surfaces are not available. The earliest forms were patented in 1870-1871 and referred to as board clips.