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The Role
The AI Product Engineer will build AI-driven intelligence systems, integrating data sources and implementing workflows to enhance automation and insights within the organization.
Summary Generated by Built In
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:
1.Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
2.Software Engineering: 3+ years of experience in Python development, with strong proficiency in API development (FastAPI/Django) and building integrations between SaaS platforms.
3.AI/ML Application: Proven experience building applications using LLM APIs and orchestration frameworks, Experience with "Agent" concepts.
4.Data Proficiency: Strong SQL skills and familiarity with cloud data warehouses (Snowflake/BigQuery).
Preferred Qualifications:
1.Business Systems Knowledge: Experience working with APIs for major B2B tools (Salesforce, HubSpot, Zendesk, Jira, Marketo).
2.Workflow Automation: Experience with tools like Airflow, Zapier/Make (advanced usage), or custom workflow engines.
3. 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.
Top Skills
Airflow
BigQuery
Django
Fastapi
Hubspot
JIRA
Make
Marketo
Python
Salesforce
Snowflake
SQL
Zapier
Zendesk
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The Company
What We Do
Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand affinity. Its purpose-built applications, proven methodologies, and best practices are designed to drive effective sales onboarding and ongoing readiness.
With Mindtickle, revenue and sales leaders can continually assess, diagnose and develop the knowledge, skills, and behaviors required to effectively engage buyers and drive growth. Companies across a wide range of industries use Mindtickle's innovative capabilities for onboarding, training, bite-sized mobile updates, gamification-based learning, call recording, coaching and role-play to ensure world-class sales performance.
