--- title: 'AI Product Engineer at Mindtickle' canonical: 'https://feeny.ai/job/ai-product-engineer-mindtickle-pune-er51gpg3emf1' type: 'job' last_seen: '2026-09-10' --- # AI Product Engineer at Mindtickle - **Company:** Mindtickle - **Location:** Pune, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-09 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/mindtickle/864ac315-d7c5-4cd5-ab44-0e33d08f48f1 ## Job description ## Role Overview We are transitioning our organization to an AI-first operational model. We are seeking an AI Product Engineer to architect and build the company’s central intelligence engine. In this role, you will be the primary builder of automated intelligence systems—tools that not only retrieve insights but actively trigger workflows, and synthesize strategic intel across our entire business landscape. ## Role Profile This is a high-impact, hands-on engineering role requiring a convergence of three distinct skill sets: Software Engineering (50%): Building scalable middleware, API integrations, and production-grade applications that connect our data stack to business tools (CRM, Marketing Automation, Support/Ticketing). AI Engineering (30%): Implementing Agentic workflows, RAG architectures, and LLMs to process unstructured data at scale. Data Analytics (20%): Leveraging SQL and B2B SaaS metrics to ensure all automation is grounded in accurate, governed data. ## Key Responsibilities 1. Building the "Enterprise Brain" (Architecture & Integration) Develop a unified intelligence layer that ingests signals from disparate sources (Product Telemetry, CRM, Call Transcripts, Marketing inputs) and processes them into actionable outputs. Build robust integrations/webhooks to push AI-generated insights directly into workflow tools (e.g., pushing "Churn Risk" alerts into Salesforce 2. AI Logic & Agent Implementation Architect "Agentic" workflows where LLMs are granted permission to perform tasks Implement advanced RAG to ground AI outputs in company documentation, historical data, and strategic context. Ensure rigorous evaluation and guardrails for non-deterministic models to prevent "hallucinations" in critical business workflows. 3. Data Engineering & Governance Collaborate with Analytics Engineers to ensure the underlying data pipelines support real-time or near-real-time AI applications. Maintain security and privacy standards, ensuring that AI agents respect data access permissions across different departments. ## Qualifications Minimum Qualifications: Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. Software Engineering: 3+ years of experience in Python development, with strong proficiency in API development (FastAPI/Django) and building integrations between SaaS platforms. AI/ML Application: Proven experience building applications using LLM APIs and orchestration frameworks, Experience with "Agent" concepts. Data Proficiency: Strong SQL skills and familiarity with cloud data warehouses (Snowflake/BigQuery). Preferred Qualifications: Business Systems Knowledge: Experience working with APIs for major B2B tools (Salesforce, HubSpot, Zendesk, Jira, Marketo). Workflow Automation: Experience with tools like Airflow, Zapier/Make (advanced usage), or custom workflow engines. B2B Domain Expertise: Understanding of the interplay between Sales, Product, and Customer Success. Competencies The "Builder" Mindset: You are comfortable taking a high-level strategic requirement from leadership (e.g., "We need to automate lead qualification") and independently architecting and coding the solution. Systemic Thinking: You understand how a change in product data schema impacts the downstream marketing automation flow. Adaptability: You can switch contexts rapidly—from debugging a SQL query for Strategy to refining a prompt for Customer Support automation. ## 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. 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