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.
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.
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.
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.
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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
MindTickle is a category defining “sales readiness” platform. For the longest time, organizations have looked at the process of keeping their sales and customer service team ready to create wins for themselves and their customers as a “training and content delivery” process. MindTickle looks at sales and customer readiness as an extension of the sales or service process itself. Simply put, MindTickle provides an all-in-one Saas platform that enables fast growing organizations to implement an efficient, engaging and effective processes across Onboarding, Ongoing refreshers, periodic updates and (re)certification such that the business leaders can ensure that their customer facing teams are always on top of their game.  MindTickle is the only platform that combines the benefits of social, mobile, cloud and gamification. MindTickle enables companies to organize and transform existing documents, presentations, videos and content in all common formats into easy to consume bite sized mobile friendly modules. The intelligent filters and data integration with platforms such as SFDC ensures that the right information is available and accessible to the field reps and inside sales teams, helping them shorter sales cycles and win more deals. The combination of these techniques and technology delivers consistent high user engagement and ROI for the organizations.  MindTickle was awarded #1 in the category of “Best use of engagement techniques in Online Learning" at the Gamification Summit, San Francisco in 2013. It was also awarded "Coolest Startup to work for" by Business Today in 2013, and recognized as the second most promising startup by Financial Express. MindTickle was recognized as a "Cool Vendor" in 2014.