# Staff Engineer

- Link: https://100xfounder.com/job/mindtickle-staff-engineer-cd19d8/
- Published: 2026-02-23T18:46:33+05:30
- Author: Ishaan Vardhan

### 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.

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.

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

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.

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.

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

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

### Required Qualification

Clear evidence of significant industry experience as an individual contributor in
software engineering, with the most recent years operating at Staff scope or equivalent.
Scope is defined by the kind of problem owned, not the title held.

Demonstrated architectural ownership. Evidence that you have defined or significantly
shaped system architecture in production that has stood the test of time — structural
decisions you made, not designs you implemented.

Cross-team technical influence. Concrete examples where your work has shaped systems
beyond your immediate team and thrived — patterns adopted by others, disagreements
resolved across boundaries, design proposals taken up by other teams.

Production discipline. Direct ownership of systems running in production, with demonstrated
work on reliability, observability, or operational improvement that survived contact
with real customers.

Incident management. Track record of leading the response to production incidents—
driving diagnosis under pressure, owning the post-incident review, and translating
findings into structural improvements that prevent recurrence.

Strong written technical communication. Design documents, RFCs, or technical proposals
that articulate complex trade-offs in writing.

Depth in at least one domain: multi-tenant SaaS systems, integration-heavy platforms,
workflow or rules engines, configuration-driven architectures, real-time analytics,
data pipelines, or platform infrastructure serving multiple internal teams.

Judgment on complexity. A record of making systems simpler — deprecations led, abstractions
removed, boring technology chosen where it sufficed.

### Preferred Qualification

9+ years of industry experience in software engineering, with multiple years operating
at Staff scope or equivalent.

Experience leading large-scale migrations or platform transitions that affected 
multiple teams.

Familiarity with AWS and the architectural patterns relevant at scale — multi-region
or multi-AZ design, managed data services, identity and security boundaries, cost-
aware infrastructure choices.

Understanding of product metrics and product analytics — how systems are instrumented
to support product decisions, how telemetry shapes prioritization, and how engineering
choices surface in business outcomes.

Open-source contributions to systems-level projects — databases, infrastructure,
runtime, build, observability — rather than feature contributions to consumer products.

Published technical writing — engineering blog posts, conference talks with substantive
material, RFCs, design documents, and / or conference papers.

Experience in environments where customer variation is a first-class constraint —
meaningfully different customer configurations, integrations, or data shapes within
a single product line.

Familiarity with the broader Mindtickle problem space — sales enablement, revenue
productivity, learning systems, content intelligence, or call analytics.

### Our Culture & Values

We hire builders, people who move fast, learn from failure, and use AI as a default
part of how they work. Our values- Delight Your Customers, Act as a Founder, and
Better Together- aren’t wall decor. They’re how we make decisions here.

Growth at Mindtickle looks like owning more, not just doing more. Your scope will
outgrow your job title if you want it to. You’ll work alongside people who’ve scaled
revenue tech globally, get direct feedback from leaders invested in your development,
and take on challenges before you feel ready because that’s how the best growth 
happens.

Our team spans 5+ countries, backgrounds, and perspectives. We believe the best 
products are built by people who bring different ways of seeing the same problem–
and everyone has a seat at that table.

We hire for potential. Apply even if your experience doesn’t match every requirement;
your skills, perspective, and drive matter here. At Mindtickle, you can be yourself,
build your career, and do the best work of your life alongside people who genuinely
want to see you succeed.

We believe the best products are built by teams with different backgrounds, experiences,
and ways of seeing the world. We welcome every unique identity, and we mean that.

### Mindtickle is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard
to race, colour, religion, sex, national origin, disability, protected veteran status,
or any other characteristic protected by law.

Your Right to Work: In compliance with applicable laws, all persons hired will be
required to verify identity and eligibility to work in the respective work locations
and to complete the required employment eligibility verification document form upon
hire.
