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Open nowPosted 255 days ago

Staff Engineer

Mindtickle19 open roles

Where
Pune, Maharashtra
Work mode
On site
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Your applicationOpen nowStaff EngineerMindtickle · Pune, Maharashtra

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Mindtickle's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Mindtickle postings stay open a median of 62 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 255 days ago

Mindtickle median: 62 days open

The posting

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

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.

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