Head of Engineering at Enterpret

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, SaaSIndustries

Requirements

12+ years of engineering experience, with 3–5 years in senior leadership roles managing managers and technical leads
Proven success in scaling high-performing engineering orgs in product-led environments
Deep understanding of modern system design, cloud infra (AWS/GCP), microservices, and data-intensive applications
Hands-on understanding of AI/ML systems and LLM architecture to set direction and ensure teams are building AI-native products
Ability to think in bets, influence executive decision-making, and balance long-term technical health with near-term business needs
Skilled communicator and cross-functional influencer — clear, direct, and inspiring
Passion for mentorship, culture-building, and leading through leaders

Responsibilities

Own and evolve the long-term engineering strategy across infra, data, AI, and product engineering, translating company bets into scalable, actionable org-wide goals
Build and lead a high-performing engineering org - hire, grow, and coach managers and technical leads, ensuring every team has empowered, high-agency leadership
Drive company-wide AI adoption - achieve 50x+ org-wide impact through AI-enabled productivity, delivery acceleration, and innovation; coach leaders to embed AI into hiring, execution, and product delivery
Set a high bar for org execution - deliver predictable, high-quality outcomes through clear operating rhythms, review mechanisms, and scalable processes without sacrificing speed
Provide strategic clarity and guardrails for complex, high-stakes decisions - enabling leaders to solve challenges that balance product vision, scalability, and business needs
Drive technical alignment across the org - ensure architectural principles, quality standards, and AI-first patterns are consistently applied by all teams, enabling seamless integration and scalability across products and systems
Design for 10x scale - ensure systems are resilient, secure, cost-optimized, and ready for real-time use cases by embedding performance, scalability, and maintainability as non-negotiables
Champion a culture of ownership, psychological safety, and high accountability - with clear feedback loops, growth paths, and recognition of team accomplishments

Skills

Infrastructure

Data Engineering

Product Engineering

Engineering Leadership

Team Building

Scalability

Hiring

Coaching

Enterpret

Transforms customer feedback into actionable insights

About Enterpret

Enterpret specializes in turning customer feedback into actionable insights that help product companies grow. The platform uses adaptive AI models to unify and categorize feedback from various sources, allowing teams to gain precise insights that inform product development. It features a user-friendly interface with easy-to-build dashboards and automated summaries, making it accessible for non-technical users. A standout feature is its semantic search, which helps users understand the intent behind customer feedback. Enterpret's Custom Unified Feedback Taxonomy structures unstructured feedback and adapts over time, ensuring insights remain relevant. The company differentiates itself by providing dedicated data auditors and customer success managers to keep the platform effective. The goal is to empower product teams to prioritize and build products that truly resonate with their customers.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$24.4MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Consumer Software, AI & Machine LearningIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Parental Leave

Risks

Increased competition from established players like Medallia and Qualtrics.

Dependence on key clients like Canva, Notion, and Monday.com poses a risk.

Challenges in scaling operations while maintaining service quality post-Series A funding.

Differentiation

Enterpret uses adaptive AI models for precise customer feedback insights.

The platform features a Custom Unified Feedback Taxonomy for structured feedback analysis.

Enterpret offers a user-friendly interface with semantic search for non-technical users.

Upsides

Enterpret raised $20.8M in Series A to scale operations and deploy no-code AI agents.

Integration with LLMs enhances semantic search capabilities for nuanced feedback understanding.

Partnerships with platforms like Census enable seamless data integration and analytics.

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