Senior Field Engineering Operations Partner

Bask Health

About The Position

Bask is hiring a Senior Field Engineering Operations Partner to build and improve the operational systems and processes that support Field Engineering and other customer-facing technical teams. The role focuses on operational planning, capacity and resource allocation, performance reporting, customer lifecycle tracking, and improving the customer journey from pre-sales through onboarding, go-live, and adoption. The person in this role will partner with technical and go-to-market leaders and work cross-functionally with Sales, Finance, Product, Customer Success, and Revenue Operations. They will use data, AI, and automation to identify operational challenges, improve workflows, reduce manual work, and measure the impact of improvements. This is a hands-on, independently owned role in a fast-paced startup environment, requiring the ability to translate broad business priorities into practical plans and measurable outcomes.

Requirements

At least 8 years of experience in Revenue Operations, Sales Operations, Field Engineering Operations, Business Operations, Strategy, or Technical Program Management at a high-growth SaaS company.
Experience supporting customer-facing technical teams such as Solutions Architects, Sales Engineers, Customer Success Engineers, Technical Account Managers, or Professional Services.
Demonstrated experience building and improving operational processes for pre-sales and post-sales technical teams.
Strong understanding of capacity planning, resource allocation, territory planning, and performance measurement.
Hands-on experience with Salesforce administration and reporting, including custom objects, flows, and integrations.
Strong analytical skills and the ability to turn complex data into actionable insights.
Experience partnering with senior stakeholders and working cross-functionally with Sales, Finance, Product, and Customer Success.
Ability to independently own projects and drive execution without direct reports.
Strong communication, organizational, and problem-solving skills.
Comfort working in a fast-paced startup environment.
Willingness to take ownership of tasks of varying scope.

Nice To Haves

Experience with SQL, BI tools, or building lightweight internal tools.
Experience with AI-driven workflows and automation.
Experience in developer tools, infrastructure, or consumption-based SaaS business models.

Responsibilities

Use AI and automation to analyze operational challenges, improve workflows, and reduce repetitive manual work.
Build and maintain operational processes and systems for Field Engineering and customer-facing technical teams.
Own day-to-day operational planning and reporting processes for Field Engineering.
Build capacity models to understand team workloads, coverage needs, resource allocation, and future hiring requirements.
Partner with technical and go-to-market leadership on capacity planning, territory alignment, resource allocation, and performance measurement.
Support territory planning and account assignment in partnership with Sales and go-to-market teams.
Develop reporting, dashboards, and health scoring models to provide visibility into team performance and customer outcomes.
Establish metrics and dashboards to measure team performance, account engagement, onboarding progress, and customer outcomes.
Track the customer journey from technical sales engagement through onboarding and go-live, identifying opportunities to improve time-to-value.
Improve the transition from pre-sales to post-sales, including technical win tracking, onboarding progress, go-live milestones, and customer adoption.
Develop processes that improve visibility into customer adoption, implementation progress, and potential account risks.
Maintain and improve Salesforce data, workflows, reporting, and integrations to support operational needs.
Analyze operational data to identify bottlenecks, risks, and opportunities for improvement.
Partner with stakeholders to translate business priorities into actionable plans and follow through on execution.
Work cross-functionally with Sales, Finance, Product, Customer Success, and Revenue Operations to execute operational initiatives.
Use data and analysis to make recommendations and measure the impact of operational improvements.
Identify opportunities to improve internal tooling, introduce automation, and share effective AI-native workflows.