Technical Operations Associate, Athelas

• 5–8 years of experience in technical operations, product strategy, revenue operations, or a related function — ideally in a high-growth SaaS or healthcare technology environment
• Demonstrated ability to evaluate a product or workflow and make a clear build/fix/kill recommendation backed by financial and operational data
• Strong command of SQL and experience working directly with data warehouses or relational databases
• Hands-on experience building internal tools using Retool, Vercel, or comparable platforms
• Practical fluency with AI tools and LLMs to accelerate analysis, build lightweight applications, and automate workflows — you don't wait for an engineer to build it for you.(Cursor, Claude, Gemini, GPT)
• Experience developing or contributing to go-to-market strategy — including packaging, pricing, segmentation, or onboarding design
• Proficiency with BI tools (Looker Studio, Power BI, Tableau, or similar) and data visualization best practices
• Someone who sees a workflow and immediately asks whether it pays for itself
• Comfortable operating in ambiguity and turning open-ended questions into structured analysis
• A builder — you prototype first and ask for resources second
• Equally comfortable in a spreadsheet, a SQL editor, and a product strategy deck
• Direct, clear, and persuasive when presenting to senior stakeholders

Desirable

• We're looking for a sharp, execution-obsessed Technical Operations Associate to sit at the intersection of product strategy, commercial viability, and AI-powered operations
• This is not a traditional ops role — you'll own the evaluation of our existing product offerings, stress-test their unit economics, and help architect a go-to-market strategy that positions Commure for its next phase of growth
• You'll work across Product, Engineering, Sales, Operations and Account Management — and you'll build the tools yourself when the right ones don't exist
• This is a high-visibility, high-autonomy role. Your scope expands as fast as you can deliver
• Conduct rigorous operational and financial analysis of existing Augmedix product lines — assessing workflows end-to-end to determine whether their operational costs justify revenue potential and margin profile
• Identify product offerings that are underperforming, over-engineered, or misaligned with market demand; build the business case to sunset, restructure, or double down
• Partner with Product and Finance to develop and maintain unit economics models for each product line
• Translate complex operational data into clear executive-ready recommendations on product viability and prioritization
• Collaborate with Sales and Account Management to evaluate current GTM motions — identifying gaps between how products are sold and how they actually deliver value
• Build and maintain dashboards and reporting frameworks that give Sales, Product, and Leadership GTM performance and metrics across all product lines
• Develop instrumentation and data models that track the full customer journey from first touch through expansion, enabling the team to make faster, evidence-based decisions
• Leverage AI tools (including LLMs) to build internal applications — including Retool workflows, Vercel-deployed apps, and lightweight automation — that eliminate manual processes and surface real-time operational intelligence
• Design and maintain ETL pipelines, automated reporting, and data workflows that keep the business operating on current, accurate information
• Write and optimize SQL queries to extract, aggregate, and model data across relational databases in support of product and revenue analysis
• Build interactive dashboards and BI visualizations (Retool, Looker Studio, Power BI, or equivalent) that give leadership a real-time view of product performance and GTM health
• Serve as the connective tissue between Product, Engineering, Sales, Finance, and Account Management — ensuring operational decisions are grounded in data and aligned with commercial goals
• Own key operational metrics from definition through execution; productivity is measured by outcomes, not hours
• Codify every major process improvement into a documented, repeatable playbook