Responsibilities

Collaborate with senior team members to onboard new clients and assist existing ones during implementation phases.
Learn and apply the company's structured approach to tailor the platform to clients' experimental and data needs.
Gradually assume full responsibility for end-to-end customer implementations over time.
Convert clients' experimental methods—such as formulation design, testing protocols, and data tracking—into precise platform setups.
Align complex scientific data structures with the platform’s data model, ensuring accurate representation of customer-specific research.
Navigate inconsistent legacy data systems, non-standard workflows, and unique naming conventions to build functional and scientifically sound configurations.
Refine platform setups in collaboration with clients through iterative feedback sessions to ensure alignment with their scientific thinking.
Participate in, then lead, meetings with research scientists, data managers, and technical decision-makers.
Establish trust by demonstrating deep understanding of clients' scientific domains and asking insightful questions.
Adapt communication style to effectively engage audiences ranging from lab researchers to senior R&D leaders.
Document recurring configuration strategies across industries such as coatings, polymers, pharmaceuticals, and food science.
Provide field insights to product and engineering teams to inform future development priorities.

Benefits

Competitive base pay with performance-based bonuses and equity participation
Comprehensive health and dental coverage
401(k) plan with employer contributions for US-based employees
Direct mentorship from seasoned implementation leaders and a clear path to greater responsibility

Compensation

Competitive base salary with performance bonus and equity

Team

High-impact, fast-moving team that emphasizes immediate ownership. Close collaboration with senior implementation staff, engineering, and product departments.

Your First 180 Days

Month 1: Gain in-depth knowledge of the platform and implementation framework. Begin configuring experimental data under supervision, focusing on accurately representing user workflows.
Months 2–3: Attend customer meetings and demonstrations, contributing to scientific assessments and data planning discussions. Perform configuration tasks with increasing independence.
Months 4–6: Lead a full customer implementation, including leading meetings, setting timelines, managing milestones, and identifying necessary product enhancements.

Why This Role

Offers a unique entry for scientists into technology without requiring them to leave behind their domain knowledge—they will use and expand it daily.
Provides early responsibility, with associates expected to lead implementations within six months.
Directly accelerates research and development for organizations working on advanced materials and life-saving treatments.
Supports clear career progression, with past associates advancing to management and director-level positions.
Fosters an engineering-driven environment where implementation team members collaborate closely with product and engineering to influence software design.