Own end-to-end engineering outcomes for Guided Selling, from technical design through release, adoption, observability, and iteration.
Partner with Product, CS, Sales, and customers as needed to understand workflow pain, validate tradeoffs, and connect engineering decisions to adoption and customer value.
Use AI tools as a core engineering multiplier for design, implementation, testing, debugging, documentation, and stakeholder communication.
Identify platform, data, permissions, feature-flag, and integration risks early, especially where Salesforce behavior differs across customer orgs.
Improve the team’s execution quality by raising review quality, documenting reusable patterns, unblocking peers, and advocating for better engineering practices.
Help Guided Selling evolve from workflow/sequencing software into a more intelligent execution layer informed by customer data, conversation signals, and measurable outcomes.

5+ years of strong hands-on software engineering experience, with meaningful Salesforce product development experience.
Strong working knowledge of Apex, data modeling, permissions, limits, packaging constraints, with a focus on performance at scale and system-wide impact
Salesforce ISV, managed package, or AppExchange review experience
Strong product engineering judgment, able to reason from customer value, usage, reliability, and long-term maintainability
Demonstrated ability to operate with high autonomy in ambiguous environments: decomposing complex work, making tradeoffs, and driving outcomes to completion
Practical experience using AI tools to improve engineering throughput, testing, debugging, analysis, and documentation in real-world engineering environments
Strong systems thinking across integrated platforms, data flows, customer configuration, permissions, feature flags, and downstream operational impact
Frontend/product experience with LWC and/or modern JavaScript frameworks such as React, Vue, or Angular

Senior Salesforce Engineer

Key skills