Revenue. io
SaaS
SeniorSalesforceEngineer
“Senior Salesforce Engineer at Revenue. io. Skills: Salesforce product development, Apex, data modeling, AI tools, systems thinking. Own end-to-end engineering outcomes for Guided Selling, from technical design through release, adoption, observability, and iteration. Use AI tools as a core engineering multiplier for design, implementation, testing, debugging, documentation, and stakeholder communication”
What You'll Achieve.
accelerating pipeline; improving forecast accuracy; driving repeatable growth; achieve exceptional results; connect engineering decisions to adoption and customer value; improve the team’s execution quality; measurable outcomes
Industry & Context.
tackling intricate challenges to achieve exceptional results; Identify platform, data, permissions, feature-flag, and integration risks early; When something breaks, we fix it at the root
What They're Looking For.
Must Have
5+ years of hands-on software engineering experience, meaningful Salesforce product development experience, working knowledge of Apex, data modeling, permissions, limits, packaging constraints, performance at scale, system-wide impact, product engineering judgment, ability 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, driving outcomes to completion, Practical experience using AI tools to improve engineering throughput, testing, debugging, analysis, and documentation in real-world engineering environments, systems thinking across integrated platforms, data flows, customer configuration, permissions, feature flags, and downstream operational impact
Nice to Have
Salesforce ISV, managed package, or AppExchange review experience, 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
What You'll Do.
Own end-to-end engineering outcomes for Guided Selling
from technical design through release
Use AI tools as a core engineering multiplier for design
and stakeholder communication
and integration risks early
Help Guided Selling evolve from workflow/sequencing software into a more intelligent execution layer informed by customer data
and measurable outcomes
How You'll Work.
Team & Collaboration
Collaborate closely with Product and fellow Engineers to innovate and deliver the next generation of our product's features; Partner with Product, CS, Sales, and customers as needed to understand workflow pain, validate tradeoffs, and connect engineering decisions to adoption and customer value; Improve the team’s execution quality by raising review quality, documenting reusable patterns, unblocking peers, and advocating for better engineering practices
Communication Scope
stakeholder communication
Process & Methodology
decomposing complex work, making tradeoffs, driving outcomes to completion
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