Backed by Battery.
About the role
Professional Services plays a critical role in helping customers successfully adopt solutions, achieve outcomes faster, and realize long-term value. As a Professional Services Strategy & Optimization Lead , you'll use data, operational insights, and cross-functional collaboration to identify opportunities to improve how implementations are planned, delivered, and scaled. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience in Professional Services, Technical Services, Solution Architecture, Service Delivery, Operations, or a related function within a SaaS environment
- Strong understanding of SaaS implementation lifecycles, including onboarding, configuration, integrations, data migration, implementation planning, and customer adoption
- Experience using operational, customer, or delivery data to uncover actionable insights and drive business improvements
- Experience developing scalable delivery frameworks, implementation methodologies, playbooks, or reusable service assets
- Strong analytical and problem-solving capabilities with the ability to translate complex information into practical recommendations
- Ability to recognize common customer needs and create repeatable delivery approaches that support scale
More about this role
Professional Services plays a critical role in helping customers successfully adopt solutions, achieve outcomes faster, and realize long-term value. As a Professional Services Strategy & Optimization Lead , you'll use data, operational insights, and cross-functional collaboration to identify opportunities to improve how implementations are planned, delivered, and scaled.
In this role, you'll partner across Professional Services, Product, Data Services, and Customer Support to analyze implementation trends, develop scalable delivery models, and create repeatable approaches that drive greater efficiency and consistency. Your work will directly influence how customer implementations are executed, helping teams reduce complexity, improve predictability, and accelerate time-to-value.
- Analyze customer, utilization, billing, project performance, configuration, and delivery data to identify trends and opportunities for improvement.
- Identify customer archetypes and implementation patterns based on workflows, configurations, and service requirements.
- Evaluate the drivers of implementation effort, complexity, duration, and outcomes to improve delivery predictability.
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