The Sales Operations Associate (AI & Data Enablement) plays a critical role in transforming Field Orthopaedics sales operations into a technology-enabled, data-driven function. Instead of acting as a traditional sales operator, this role leverages automation, AI tools, and data engineering to streamline processes, enrich insights, and serve as the human-in-the-loop for AI-assisted decision-making. This position ensures that sales activities are scalable, compliant with ISO 13485, and aligned with the company’s U.S. expansion strategy.
This role is well suited to someone who enjoys identifying better ways of working and energizing others to adopt them. You are naturally curious, ask thoughtful questions about how processes, systems, and data could be improved, and feel motivated by turning new ideas into momentum across the organization. You thrive when collaborating with sales, marketing, operations, and leadership to align people around insights, improvements, and change initiatives. If you enjoy spotting opportunities, influencing stakeholders, and helping teams move forward with clarity and enthusiasm, this role will strongly align with your strengths.
Key Organizational Responsibilities
- Design, implement, and maintain data pipelines to support CRM, ERP, and sales analytics systems.
- Collaborate with Sales Operations Executive to identify opportunities for automation and AI integration in sales and customer operations.
- Develop scripts, APIs, and backend workflows to automate routine sales processes (quotations, order processing, reporting).
- Act as the human-in-the-loop for AI-driven workflows, validating outputs, improving model feedback, and ensuring compliance with ISO 13485 and regulatory requirements.
- Maintain accurate, validated data in CRM and ERP systems to ensure product traceability and compliance in medical device sales.
- Generate advanced dashboards and predictive analytics to support sales forecasting and strategic planning.
- Provide technical and operational support for field sales teams to ensure seamless adoption of AI-powered tools.
- Assist in regulatory and audit processes where AI-driven sales records intersect with compliance requirements.
Skills and Experience
To be successful in this position, you will possess the following key skills and experience:
- Bachelor’s degree in Computer Science, Data Engineering, Business Information Systems, or related field.
- 2–4 years of experience in sales operations, business systems, or data engineering (medical device or pharma industry preferred).
- Hands-on experience with backend development (Python, SQL, or similar languages).
- Familiarity with CRM (Hubspot), ERP systems, and API integrations.
- Understanding of AI/ML workflows, automation tools, and data pipelines.
- Knowledge of ISO 13485 requirements for sales/customer management data.
- Strong problem-solving mindset with the ability to balance compliance, technical rigor, and commercial impact.
- Self-starter who has the ability to work autonomously, under pressure and to tight timelines;
- Demonstrated analytical thinking and problem-solving ability;
- High level of interpersonal skills and able to build and maintain strong relationships (internal and external) to ensure business needs and timelines are met;
- Effective verbal and written communication;
- Strong attention to detail and documentation skills.
Desirable but not essential
- Comfortable operating in a startup environment with evolving processes and wearing multiple hats.
- Entrepreneurial mindset – proactive, solutions-focused, and resilient when faced with challenges.
Why Join Field Orthopaedics
- Be part of a premier orthopaedic company specializing in hand and wrist extremities, driven by innovation and collaboration to meet the overlooked needs of hand surgeons.
- Work closely with sales, field teams, and distribution partners in a highly visible operational role.
- Opportunity to grow with the business as Field Orthopaedics scales globally.
- Make a tangible impact by supporting surgeons, hospitals, and ultimately patient care.
