---
title: 'Software Engineer, Business Systems at Mindtickle'
canonical: 'https://feeny.ai/job/software-engineer-business-systems-mindtickle-pune-wt2wfqz32zah'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer, Business Systems at Mindtickle

- **Company:** Mindtickle
- **Location:** Pune, India
- **Work type:** hybrid
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/mindtickle/b6e024c2-42c2-463c-8bc8-ca0aa0826845

## Job description

Software Engineer, Business Systems Function: Business Technology & Security — Business Systems Location: Pune, India · Hybrid Reports to: Product Manager, Business Systems Experience: 2–4 years Short description Build and run the integrations, pipelines, automations and internal tools that connect Mindtickle's business systems — Salesforce, NetSuite, HRMS, Slack and Google Cloud. You take defined requirements and own the technical path end to end: design, build, ship, and keep it running.

## About the team

Business Technology & Security runs the systems, automation and security behind how Mindtickle operates. Business Systems is its build engine — the team that turns requirements from GTM, Finance, People Success, IT, Legal and Security into shipped systems: integrations, data pipelines, automations, internal tools and agents. We are a small team. You will not be part of a traditional engineering squad with sprints and Scrum ceremonies. You will operate independently, usually owning a problem from a defined requirement through to a deployed, monitored solution — and then continuing to own it.

## The role

You are the engineer on the team. When a system needs to talk to another system, when a manual process needs to become an automated one, when a tool needs to exist and doesn't — you build it. Requirements come to you defined. The Product Manager and Business Systems Analyst own the business problem, the stakeholders, and the question of whether we should do it at all. The technical path is entirely yours — how it's designed, what it's built on, how it's tested, how it fails safely, and how it's supported once it's live.

## What you'll own

Building — about half your time Integrations between business systems. Data pipelines. Automations that remove manual work from Finance, People Success, IT, Security and GTM. Internal tools and lightweight services. AI-backed workflows and agents where they are the right answer, and conventional code where they are not. Running it — about a fifth of your time You inherit a set of automations already in production and become their owner. Monitoring, alerting, incident response, and the unglamorous work of making inherited systems observable and documented. Nothing you build gets handed to someone else to support. Technical evaluation — about 15% When the team is deciding whether to build or buy, or whether a vendor's API can actually do what the demo claimed, you build the prototype that answers it. Deep technical spikes, integration feasibility, and performance and security reality-checks — against a requirement the Product Manager and Analyst have already defined. Migrations — about 15% Data migration, field mapping, cutover scripts and system replacements as we move platforms. The shape of a typical week Daily — Writing Python with Claude Code. Reading vendor API documentation. Wiring REST and GraphQL APIs, webhooks and event-driven flows. Debugging a sync that silently dropped records. Deploying to Cloud Run. Weekly — Shipping an increment and demoing it. Working through requirements with the Product Manager and Analyst. Triaging what broke. Monthly — One meaningful capability live in production, with monitoring, a runbook, and documentation good enough that someone else could pick it up. Stack Python · Google Apps Script · Google Cloud Platform (Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub, BigQuery, Firestore, Cloud Storage, Compute Engine) · REST and GraphQL APIs, webhooks, OAuth and service-account authentication · Claude Code and modern AI tooling as a primary way of working · Git and CI/CD Business systems you will integrate with: Salesforce, NetSuite, HRMS, Slack, Google Workspace, and the wider SaaS estate.

## What we're looking for

We care about what you have built and kept alive, not the tools listed on your CV. 2–4 years building software, integrations or automations in a professional environment Strong Python, and real fluency with APIs — authentication, rate limits, retries, idempotency, pagination, webhooks and event-driven patterns You have built integrations against SaaS APIs, not only configured them through consoles or drag-and-drop integration platforms Hands-on cloud experience (GCP preferred; AWS or Azure is fine) with a working understanding of how to compose services rather than follow a tutorial End-to-end ownership you can point to — a system you designed, built, shipped and then operated. Something that broke in production and you fixed it. Debugging across system boundaries — when two systems disagree about the same record, you can work out why Testing and verification instinct — you know your output is correct because you measured it, not because it ran without erroring Fast on unfamiliar ground — you have picked up a stack you didn't know and shipped it. This matters more to us than prior exposure to any specific technology. Clear written communication — design notes, runbooks, and documentation are part of the job, not an afterthought

## Nice to have

Building AI agents, tool-use, and agentic workflows; MCP servers Exposure to business systems — CRM, ERP, HRIS, ITSM — and the SaaS ecosystem around them Data and pipeline work (BigQuery, ETL/ELT) Infrastructure-as-code

## About Mindtickle

## Company Overview
- **One-liner**: Mindtickle provides an AI-powered revenue enablement platform that helps customer-facing teams improve performance through training, content management, and deal guidance.
- **Entity Type**: Private (Series E)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2012
- **Founders**: Krishna Depura, Deepak Diwakar, Nishant Mungali

## Core Business
- Primary industry/industries: Sales Enablement, Revenue Enablement, SaaS
- Target customers: B2B, Enterprise sales teams, customer success, and revenue organizations
- Mission or purpose statement: "We thrive on creating impact for our customers. Our people matter most." The company focuses on helping revenue organizations create a continuous state of excellence.

## Products & Services
- **ElevateOS™**: The first agentic operating system for revenue enablement, using agentic AI to coach, guide, and act on every deal. Powered by a decade of rep behavior data.
- **AI Copilot**: Provides real-time deal guidance and coaching to sales reps during customer interactions.
- **AI Role Play Simulator**: Enables reps to practice sales conversations with AI-powered simulations.
- **Sales Training & Coaching**: Personalized onboarding, everboarding, and ongoing upskilling programs for revenue teams.
- **Sales Content Management**: Centralized platform to surface the right content for every deal and ensure reps remain on-brand and on-message.
- **Digital Sales Rooms**: Helps accelerate deal cycles with tailored buying experiences for prospects.
- **Conversation Intelligence**: Analyzes sales calls and meetings to provide performance insights.
- **Analytics & Performance Insights**: AI-powered analytics to track rep performance, identify gaps, and optimize enablement programs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (last funding round was a $100M Series E in 2021)
- **Key Metric**: Total funding of **$281.3M** across 7 rounds; estimated annual revenue of **$40M**.
- **Notable Investors/Partners**: SoftBank Vision Fund (lead investor in Series D and E), Canaan Partners (Series B lead), and other undisclosed investors. Customers include Cisco, Splunk, Henkel, Juniper Networks, and Janssen.
- **Growth Signals**: Over 692 employees globally (~513 reported on LinkedIn with a slight headcount reduction of -1.9% YoY); 202,841 LinkedIn followers (+20.1% yearly growth); offices in San Francisco (HQ), Pune, and Bengaluru, India.

## Competitive Advantages
- **Agentic AI Focus**: The introduction of ElevateOS, built on a decade of rep behavior data, creates a proprietary data moat and advanced AI capabilities that competitors would struggle to replicate.
- **Unified Platform**: Combines training, coaching, content management, and deal execution in a single platform, breaking down silos between learning and engagement.
- **Proven Enterprise Adoption**: Trusted by major global brands like Cisco, Splunk, and Juniper Networks, demonstrating strong product-market fit in the enterprise segment.
- **Data-Driven Readiness**: Uses behavioral data and benchmarks to personalize training and improve rep performance at scale.

## Strategic Focus
- **AI-First Transformation**: Deep investment in agentic AI (ElevateOS) to automate coaching, guidance, and deal execution.
- **Revenue Enablement Expansion**: Moving beyond traditional sales enablement to encompass all customer-facing teams (customer success, support).
- **Global Scale**: Maintaining a distributed workforce across 9 countries (India, US, UK, Canada, Costa Rica) with a hybrid work model.
- **Content and Partnership Growth**: Expanding pre-built content and partner integrations to accelerate customer time-to-value.

## Why Work Here
- **Culture & Impact**: The company emphasizes that "people matter most" and is focused on creating a best-in-class team to build best-in-class products.
- **Remote/Hybrid Policy**: Offers a remote work program; roles in Pune, India are hybrid or on-site. San Francisco HQ is OnSite.
- **Benefits**: Generous parental leave, 401(K), healthcare benefits, and family/childcare benefits.
- **Engineering & Product Culture**: Opportunity to work on cutting-edge AI applied to revenue enablement; roles include Group Product Manager, UX Research Manager, and Senior Solutions Architect.
- **Global Team**: Work with a diverse, international team spanning 9 countries with a strong presence in both the US and India.

## Sources
1. [mindtickle.com](https://www.mindtickle.com/)
2. [mindtickle.com - About Us](https://www.mindtickle.com/about-us/)
3. [LinkedIn - Mindtickle](https://linkedin.com/company/mindtickle)
4. [Built In - Mindtickle Careers](https://builtin.com/company/mindtickle)
5. [Lever - Mindtickle Careers](https://jobs.lever.co/mindtickle)

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