--- title: 'Member of Technical Staff, Platform at Enterpret' canonical: 'https://feeny.ai/job/member-of-technical-staff-platform-enterpret-bengaluru-v36kpxexksnm' type: 'job' last_seen: '2026-09-11' --- # Member of Technical Staff, Platform at Enterpret - **Company:** Enterpret - **Location:** Bengaluru, India - **Work type:** onsite - **Posted:** 2026-08-20 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/enterpret/jobs/7915008003 ## Job description ## About Enterpret At Enterpret, we are building the customer feedback intelligence platform that turns unstructured customer feedback into a structured, queryable source of truth — solving complex problems in natural language processing, serverless computing, and analytics on the frontend, pushing the envelope of what's possible by applying first principle thinking. Kleiner Perkins and Sequoia Capital back us because they share our conviction that product development teams deserve a better way to understand their customers. That conviction is validated by the respected product teams who rely on us every day, including Canva, Notion, Samsung, and Loom. We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership. Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work. Read more about our team, core values, and operating principles - [here](https://www.enterpret.com/about-us). ## What You'll Do - Design and deliver significant Graph Platform components end to end — high- and low-level design, implementation, rollout, and the follow-through after launch. - Improve reliability, latency, performance, and operational readiness across the knowledge graph, data systems such as DynamoDB and ClickHouse, Model Repository, LLM self-hosting platform, and the high-throughput pipelines that run our models. - Take production issues beyond the immediate symptom — turn recurring failures into durable fixes, not patches. - Build with metrics, alerts, runbooks, tests, and rollback plans as a core part of the work, so every change is safe and observable in production. - Own on-call and production responsibility for your area, and establish the operational baseline: failure modes, alerts, runbooks, and the gaps that need closing. - Partner with product engineers, product managers, SRE, and adjacent teams where your component has dependencies — and work closely with the people shaping the longer-term platform direction. - Continuously raise the engineering-quality bar through code review, testing, documentation, and support for more junior engineers. What It Takes - 6+ years in software engineering, with evidence you can own a meaningful production component from conception to deployment. - 3+ years at one organization where you've designed, built, deployed, and operated a significant backend, data, or infrastructure component — not just shipped code, but kept it running well. - Comfort working through moderate ambiguity: you clarify unclear requirements, decide what needs to be built now, make design trade-offs across components, and deliver without constant direction. - Strong engineering-quality and operational habits: comprehensive tests, edge-case thinking, metrics, alerts, runbooks, rollback plans, and real production debugging experience. - Hands-on experience with high-throughput data systems or asynchronous pipelines — exposure to at least one of DynamoDB, ClickHouse, Snowflake, or model hosting/inferencing is valuable, and prior experience with Golang, Python, or another object-oriented programming language is preferred, though direct experience with our exact stack is not required. - An AI-native working style: you use AI tools to move much faster while validating outputs, preserving quality, and sharing useful workflows with the team. - A track record of mentoring and collaborating — you raise the standard of the engineers and systems around you. What Success Looks Like First 90 days - Builds working context on the Graph Platform stack and takes on-call and production ownership seriously. - Owns a scoped production problem or component improvement from design through deployment. - Establishes the operational baseline for their area: relevant metrics, failure modes, alerts, runbooks, and gaps. - Produces designs that make the trade-offs explicit and can be implemented without significant rework. By 6 months - Independently delivers a significant team-level component or feature from conception to deployment. - Has made a visible improvement to a Graph Platform outcome: reliability, latency, throughput, correctness, cost, or operational load. - Is a reliable owner in production: issues are investigated systematically, and follow-up fixes are durable rather than patches. - Raises the engineering-quality bar through code review, testing, documentation, and support for more junior engineers. By 12 months - Is the go-to owner for a meaningful Graph Platform area. - Has delivered and operated multiple improvements that make the team's systems more robust, scalable, and maintainable. - Can take partially ambiguous requirements, clarify what matters, make team-level trade-offs, and lead delivery with limited oversight. - Has created clear runway toward L5 through broader component ownership and influence on adjacent work. Why Enterpret? - High Impact: Own systems that are already in production and need to scale well — the core data systems, models, and pipelines where Enterpret's platform comes together. - Ownership: End-to-end responsibility for features and systems. - Complex Challenges: Work on the knowledge graph, distributed data tiers, model hosting, and high-throughput enrichment pipelines where a single change can touch storage, query paths, reliability, and cost. - Growth: Learn and grow with a high-caliber team, with a clear path from owning components to shaping larger slices of Graph Platform and into L5. - Culture: Open, collaborative, and values-driven environment with autonomy. - Benefits: Competitive salary, equity, hybrid work setup, premium healthcare, and more. ## What We Value At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better. ## Equal Opportunities We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified. ## 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 - [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 - [Principal Engineer, Core Product](https://feeny.ai/job/principal-engineer-core-product-enterpret-bengaluru-02rk5wd2ywgz) — Bengaluru, India