--- title: 'Applied AI Research Engineer at Enterpret' canonical: 'https://feeny.ai/job/applied-ai-research-engineer-enterpret-bengaluru-bqypq858yeb1' type: 'job' last_seen: '2026-09-11' --- # Applied AI Research Engineer at Enterpret - **Company:** Enterpret - **Location:** Bengaluru, India - **Posted:** 2026-01-07 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/enterpret/jobs/7580532003 ## Job description ## About Enterpret Enterpret is redefining how businesses understand and act on customer feedback. We are building an AI-native platform that centralises feedback from every source surveys, reviews, support tickets, communities and turns it into clear, actionable insights that drive business growth. We are trusted by some of the world’s most customer-obsessed companies like Canva, Descript, Notion, Perplexity and many more, and backed by leading investors like Kleiner Perkins, Canaan Partners, and Peak XV Partners. Our mission: to unlock the voice of the customer for every product team on the planet. ## About the Role This is a hands-on role for someone who’s equally strong in research thinking and engineering execution. You will define what “good” looks like for AI-powered features, build systems that meet that bar, and own them through launch and beyond. From writing eval plans to debugging failures in production, you will work across the stack and across functions to ship reliable, high-quality LLM-driven systems. What You Will Do ? You will design, build & ship AI-backed features that are reliable in production - Define the quality bar: design eval rubrics, test plans, and rollout criteria. Make sure they’re measurable and enforced. - Build with real-world constraints: write and extend production code, set up monitoring, and add tests that catch regressions before users do. - Own features end to end from problem framing to modeling, from system design to rollout and iteration. - Debug failures across the stack including data, infra, model, prompt logic and harden the system with what you learn. - Design and implement systems: retrieval pipelines, agents, or hybrid patterns, based on what the problem actually needs. - Work across functions: collaborate with product, infra, and engineers to ship features that actually stick. What It Takes ? You have built and shipped AI systems before and carried the load when things broke post-launch. - Strong research instincts: you are good at defining what “working” means and designing evaluations that reflect real-world usage. - Solid engineering skills: you write clean, testable Python, debug at system boundaries, and know your way around production stacks. - LLM understanding: you have worked with modern models and know how to prompt, fine-tune, or wrap them with tooling and evaluation. - Systems mindset: you think in interfaces, data contracts, failure modes, and rollout plans, not just model tweaks. - Practical bias: you care more about what ships and survives than what’s novel. - Ownership: you take initiative, communicate clearly, and push for quality without being asked. Why Enterpret? - We build AI systems that people can trust because they have been tested, monitored, and hardened through real usage. - We care deeply about quality. Eval plans, incident retros, and per-tenant guardrails aren't checkboxes, they're the core of how we build. - We believe research belongs in production, not just papers. You will see your ideas live in running systems within weeks, not years. - We are small enough that every engineer matters, and focused enough that there's no busywork, just high-impact problems. - You will be part of a team that runs toward hard, ambiguous challenges and sees them through to working, reliable systems. - There is no playbook here, we are writing it as we go. If that excites you, not scares you, you will thrive here. ## About Enterpret ## Company Overview - **One-liner**: Enterpret provides an AI-powered customer intelligence platform that connects support, sales, and market signals into structured context for teams and AI workflows to drive retention and revenue. - **Entity Type**: Private (Series A – $20.8M raised in December 2024) - **Headquarters**: San Francisco, California, United States - **Founded**: 2020 - **Founders**: Arnav S. (Co-founder & CTO) ## Core Business - **Primary industry**: Customer Intelligence / AI-powered analytics - **Target customers**: B2B – product, customer experience, support, operations, and go-to-market teams at high-velocity product organizations (e.g., Notion, Perplexity, Strava) - **Mission or purpose**: Help companies build better products by uncovering insights from customer feedback, and create a world where every customer voice matters. ## Products & Services - **[Customer Intelligence Platform](https://www.enterpret.com/)**: A full-stack SaaS platform that ingests and structures feedback from support tickets, sales calls, surveys, reviews, social conversations, community discussions, CRM data, and product usage signals. Features include Adaptive Taxonomy, Context Graph, Support Intelligence, Sales Intelligence, and Market Intelligence. - **[Enterpret MCP](https://www.enterpret.com/)**: Model Context Protocol (MCP) integrations allowing teams to query and act on customer context from AI tools like Claude and ChatGPT, and create tickets, alerts, and workflows directly from findings. - **Integrations**: Native connections to Slack, Jira, Linear, Salesforce, and other internal tools; also supports AI workflow triggers and automation. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding raised – **$25.1M** (Seed $4.3M in March 2022, led by Kleiner Perkins; Series A $20.8M in December 2024, led by Canaan Partners) - **Notable Investors/Partners**: Canaan Partners (lead Series A), Kleiner Perkins, Sequoia Capital; customers include Notion, Perplexity, Strava, The Farmer’s Dog, Loom, Cameo. - **Growth Signals**: Headcount grew 28.6% YoY to 63 employees; active hiring across engineering and GTM roles; strong brand adoption among high-profile product teams. ## Competitive Advantages - **Adaptive Taxonomy**: Feedback categories evolve with product language, so insights remain consistent over time without manual re-tagging. - **Context Graph**: Every signal is tied to customer segments, LTV, lifecycle stage, usage area, and business outcomes (churn, NPS, CSAT, expansion). - **Outcome Measurement**: Tracks whether product decisions actually worked (e.g., reduction in ticket volume, improvement in sentiment, changes in retention) – closing the feedback loop. - **AI-First Integration**: Deep compatibility with MCP and major AI tools (Claude, ChatGPT) enables teams to embed customer intelligence directly into existing workflows and agent systems. ## Strategic Focus - Expand "customer intelligence infrastructure" to power AI workflows and agents across enterprises. - Continue deepening integrations with productivity and CRM platforms (Jira, Linear, Slack, Salesforce). - Scale go-to-market with dedicated commercial and enterprise account executives (hiring in NYC). - Enhance the platform’s ability to measure revenue impact of product decisions (churn prevention, expansion attribution). ## Why Work Here - **Culture**: Values-driven environment emphasizing ownership, direct feedback, humble growth mindset, solving customer pain, and fast-paced yet detail-oriented execution. - **Work Policy**: Hybrid/office options – headquarters in San Francisco, offices in New York City (hybrid) and Bengaluru, India (in-office). Some roles (e.g., Enterprise Account Executive) offer remote/hybrid flexibility. - **Engineering & Perks**: Tackle complex challenges in NLP, serverless computing, and frontend analytics. Backed by top-tier VCs (Kleiner Perkins, Sequoia, Canaan). Opportunities to see direct impact on customer churn, retention, and roadmap decisions. Small, tight-knit team with strong alumni backgrounds from Google, Amazon, Uber, Rubrik, and Scale AI. ## Sources 1. [enterpret.com](https://www.enterpret.com/careers) – Careers page 2. [enterpret.com](https://www.enterpret.com/) – Main product page 3. [boards.greenhouse.io](https://boards.greenhouse.io/enterpret) – Job listings 4. [linkedin.com](https://www.linkedin.com/company/enterpret) – Company LinkedIn profile 5. [builtin.com](https://builtin.com/company/enterpret) – Company profile on Built In ## Other roles at Enterpret - [Forward Deployed Engineering Lead](https://feeny.ai/job/forward-deployed-engineering-lead-enterpret-new-york-hep0rm6psbe3) — New York, NY - [Member of Technical Staff, Platform](https://feeny.ai/job/member-of-technical-staff-platform-enterpret-bengaluru-v36kpxexksnm) — Bengaluru, India - [Staff Software Engineer, Platform](https://feeny.ai/job/staff-software-engineer-platform-enterpret-bengaluru-fwp9tbh5b1t7) — Bengaluru, India - [Member of Technical Staff, Core Product](https://feeny.ai/job/member-of-technical-staff-core-product-enterpret-bengaluru-dvbtdv05frfg) — Bengaluru, India - [Senior Product Manager, Integration Ecosystem](https://feeny.ai/job/senior-product-manager-integration-ecosystem-enterpret-bengaluru-e6ahxw3rg70d) — Bengaluru, India - [Executive Assistant & Office Manager](https://feeny.ai/job/executive-assistant-office-manager-enterpret-new-york-mm3tpxp5dz3c) — New York, NY - [Strategic Account Director](https://feeny.ai/job/strategic-account-director-enterpret-new-york-bf42350m8yvv) — New York, NY - [Strategic Customer Success Manager](https://feeny.ai/job/strategic-customer-success-manager-enterpret-new-york-jm35m5v4fkdq) — New York, NY - [Business Development Representative](https://feeny.ai/job/business-development-representative-enterpret-new-york-14z7j1qy3747) — New York, NY - [Business Development Representative](https://feeny.ai/job/business-development-representative-enterpret-bengaluru-kdrdnny6wk6j) — Bengaluru, India