Staff Engineer

About the role

Who we are

Mindtickle is the leading AI-powered revenue enablement platform, helping sales teams learn faster, practice smarter, and perform at their best. We bring together onboarding, training, coaching, content, digital sales rooms, conversation intelligence, and AI role-plays into one platform so revenue teams have everything they need to build winning sellers.

Global companies, like Fortune 500 organizations, trust Mindtickle to support their revenue teams. Customers and industry analysts have also recognized us. G2 has ranked us the #1 Sales Training & Onboarding platform for 28 consecutive quarters, and Forrester has recognized Mindtickle as a Leader in revenue enablement. Mindtickle was also recognized as AI-Based Sales Solution of the Year by the 2025 AI Breakthrough Awards and has received Stevie Awards for Technology Innovation and Customer Support Excellence.

At Mindtickle, we're helping companies create high-performing revenue teams, and we're looking for people who want to help shape what's next.

Job Summary The Staff Engineer is the senior individual contributor at Mindtickle. The role is defined by scope, not tenure or technology.

Staff Engineers shape technical direction across teams. They take on problems that cross system boundaries, i.e., foundational platform decisions, architectural work that spans multiple services, performance and reliability challenges that no single team owns, and AI capabilities that need to be woven into the product rather than bolted on.

This is not a senior engineer with a different title. The role exists for a different category of problem.

Key Responsibility -

Solve Organization wide problems - crisply define the problem, propose the solution, implement it and get it adopted. One of the finest examples of this is the data platform at Mindtickle.

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Take on problems that span teams — performance regressions across services, integration patterns that cut across domains, AI capabilities that have to hold up across varied customer configurations.

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Review designs from other teams. Identify architectural risks before they become incidents. Propose and drive migrations, deprecations, and platform investments.

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Set the technical standard through your work — the code you write, the design documents you publish, the reviews you give. Influence through clarity, not authority.

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Be the champion of AI transformation at Mindtickle. Evaluate where AI-native approaches should replace or augment traditional systems. Reasons about cost, latency, reliability, explainability, and maintenance burden. Help shape how the engineering organization itself uses AI tooling.

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Own the operational health of the systems you influence. Drive reliability, observability, and performance work proactively, with data and clear proposals.

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Make other engineers better — through design reviews, technical mentorship, and creating clarity in areas where others are stuck. Distribute knowledge rather than concentrate it.