5+ years of strong hands-on software engineering experience
Strong working knowledge of Apex, data modeling, permissions, limits
Salesforce ISV, managed package, or AppExchange review experience
Strong systems thinking across integrated platforms
Requirements:
Own end-to-end engineering outcomes for Guided Selling
Partner with Product, CS, Sales, and customers to understand workflow pain
Use AI tools as a core engineering multiplier
Identify platform, data, permissions, feature-flag, and integration risks early
Job description
Searching for a highly experiencedSenior Salesforce Engineer to join our acclaimed software team, specializing in the development of ourSalesforce ISV package. The Guided Selling product package is distinguished by its deep integration with Salesforce, offering unparalleled sales engagement capabilities that consolidate sales process automation into a single, intuitive interface. In this Senior Engineer role, you will collaborate closely with Product and fellow Engineers to innovate and deliver the next generation of our product's features, tackling intricate challenges to achieve exceptional results.
What You'll Do
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.
What You Bring
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
Nice to Have
GTM, sales engagement, workflow automation, or revenue intelligence product experience
Experience building AI-assisted workflows, recommendations, or automation
Experience with observability, release readiness, and post-ship adoption/quality measurement
