---
title: 'Senior QA Engineer at Altimate.ai'
canonical: 'https://feeny.ai/job/senior-qa-engineer-altimate-ai-bengaluru-p704rjesh6b1'
type: 'job'
last_seen: '2026-09-11'
---

# Senior QA Engineer at Altimate.ai

- **Company:** Altimate.ai
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/altimate/318ee5f2-01ee-4abf-a1ba-77603ca6a71b

## Job description

## Why Join Us

Altimate AI is at the forefront of the AI-driven data revolution, solving one of the biggest pain points in modern enterprise analytics—an overwhelming volume of data work and a shortage of skilled data professionals to manage it. Our mission: Automate and accelerate data operations, allowing data teams to focus on driving business outcomes faster. With our flagship product, DataPilot, and our pioneering DataMates technology, we’re leading the charge in “agentic AI” for data teams. Think of this as virtual teammates embedded inside popular workflows —like the VSCode extension loved by thousands across 50+ countries—taking care of everything from data documentation to performance optimization. Users have given raving reviews about how it’s “an essential tool” and “game-changing for their data workflows.” This extension is just the tip of the iceberg, a tangible example of how we integrate seamlessly into tools teams already use. Fortune 1000 companies are our paying customers, and 100s of enterprise companies are active users of our free product offering. Backed by top-tier investors and guided by Silicon Valley veterans who have scaled companies from startup to IPO, we have the vision, resources, and momentum to reshape how data teams operate. Read more about us:

- [VentureBeat: How agentic AI could improve enterprise data operations](https://venturebeat.com/ai/how-agentic-ai-could-improve-enterprise-data-operations/)
- https://marketplace.visualstudio.com/items?itemName=innoverio.vscode-dbt-power-user&ssr=false#review-details

## Your Impact

As customer requests are pouring in for additional functionality with datamates, we are expanding our product team to take our Datamates platform to the next level. You will help expand and scale the capabilities of the DataPilot platform by envisioning, scoping, and launching next-gen functionality. What makes this opportunity special:

- Native GenAI product management experience: The industry is dividing into two camps: those who've built native GenAI products and those who've merely added GenAI features to existing products. Which camp do you want to be in?
- First row seat in early-stage rocket ship: We are experiencing rapid growth that will explode in 2026, leading to experience and skills growth that only an early-stage high growth startup like ours can offer.
- Direct collaboration with founders: Become an integral part of our decision-making process, working directly with founders to shape both engineering initiatives and go-to-market strategies.
- Accelerated career trajectory: Join as a product manager at an early stage. As we scale, you can lead a team, shape strategy, and influence the entire industry.

What you'll do:

- Own end-to-end quality across our front-end and Python backend, serving multiple enterprise tenants
- Create and manage test plans, test cases, and regression coverage for new features and releases
- Review and steer AI-generated test suites - separating tests that catch real bugs from tests that just pass
- Triage production issues and drive them to root cause
- Develop and maintain QA tools and frameworks that support our automated testing pipeline
- Run exploratory, usability, and manual testing where automation isn't the right tool
- Collaborate with engineering and product to define test strategy across the development lifecycle

Must-haves:

- 3 to 5 years of experience and strong exploratory and usability testing craft
- API and backend testing depth - auth, multi-tenancy, error paths, not just happy-path 200s
- End-to-end testing experience across front-end and back-end
- Test plan, test case, and regression coverage ownership
- AI-assisted quality engineering - using GenAI tools (Claude, ChatGPT, Copilot, Cursor) for test design and generation, and critically reviewing AI-generated tests and root-cause analyses
- CI/CD integration experience - GitHub Actions or similar
- Ability to read code and stack traces and trace a failure to its root cause
- Clear, evidence-based bug reports and strong communication; self-motivated and able to work independently

Good to have:

- Data pipeline and data testing understanding (dbt, warehouse concepts)
- Python with pytest - writing, reviewing, and debugging automated tests
- Strong SQL - PostgreSQL plus an analytical database (ClickHouse or similar)
- Snowflake or Databricks domain exposure - cost/performance optimization is our core domain
- Experience evaluating LLM output (evals, golden datasets, quality rubrics)
- Front-end automation frameworks (Playwright, Cypress)

## About Altimate.ai

## Company Overview
- **One-liner**: Altimate.ai builds an agentic data engineering platform that provides AI-powered agents for data governance, pipeline management, workload migration, and infrastructure optimization, integrated directly into data teams' daily tools.
- **Entity Type**: Private (Pre-Seed/Seed stage)
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: May 2022
- **Founders**: Anand Gupta, Pradnesh Patil

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Data Engineering, Analytics, Big Data
- **Target customers**: B2B, Enterprise data teams, data engineers, analytics engineers
- **Mission or purpose statement**: To build the #1 agentic data platform that enables fully autonomous, trustworthy data engineering in production — helping companies achieve a "perfect data world" where governance, quality, and efficiency are guaranteed.

## Products & Services
- **DataPilot**: An AI teammate for data teams, consisting of a collection of AI agents natively integrated into IDE (VS Code), Git, CI/CD, and Slack. Automates data documentation, data quality tests, data contracts, query explanations, and incident assistance — all PII-free.
- **dbt Power User (VS Code Extension)**: Enhances dbt model development and testing with automatic documentation, query result analysis, and best practices embedded directly in the developer workflow.
- **Query Insights**: Provides automated insights and recommendations for SQL queries to improve efficiency and reduce costs.
- **Workload Migration**: Automates migration of Informatica, SSIS, or legacy SQL to dbt, preserving business logic and contracts.
- **Workload Optimization**: Auto-tunes warehouses and optimizes queries across Snowflake, BigQuery, and Databricks autonomously.
- **Data App Builder**: Generates full-stack data applications — APIs, dashboards, and pipelines — from a plain-language spec.
- **Infrastructure Management**: Monitors warehouse health, traces incidents to root cause, and routes fixes autonomously.
- **Altimate Code (Open Source CLI)**: An open-source agentic harness for data engineering tasks, enabling teams to ship agentic data pipelines without vendor lock-in. 10M free tokens available.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding — Undisclosed amounts raised in Pre-Seed round (Sept 2024, led by Surface Ventures and JC2 Ventures) and Seed round (April 2025). Employee headcount of **42** (+150% YoY growth).
- **Notable Investors/Partners**: Surface Ventures, JC2 Ventures
- **Growth Signals**: 
  - 150% headcount growth year-over-year (from ~12 to 42 employees)
  - 78.0% pass rate (32/41 tasks on DuckDB) on DeepSeek V4 Pro (ADE-Bench)
  - Used by hundreds of companies worldwide (thousands including open-source/VS Code users)
  - Active in 5 countries: US, India, UAE, China, Bangladesh
  - 8 active job postings as of mid-2025
  - LinkedIn followers: 4,040 (+54.7% yearly growth)

## Competitive Advantages
- **Tech Stack Agnostic**: Agents work across Snowflake, BigQuery, Databricks, and any cloud provider — avoiding vendor lock-in.
- **Deep Integration**: Embedded directly into the tools data engineers already use daily (VS Code, Git, Slack, CI/CD), minimizing workflow disruption.
- **Token-Efficient Design**: Built to minimize token consumption while maximizing impact, making it cost-effective for enterprise scale.
- **Enterprise-Grade Governance**: SOC 2 compliance, column-level lineage, PII classification, ownership mapping, and audit trails built in.
- **Open Source + Platform Model**: Open-source CLI for flexibility and community adoption, with a paid platform for advanced enterprise features.
- **Strong Benchmark Performance**: 78% pass rate on DeepSeek V4 Pro for data engineering tasks.

## Strategic Focus
- **Current priorities**: Scaling the platform to fully autonomous data engineering; expanding enterprise adoption; deepening capabilities in governance, migration, and optimization; growing the open-source community around Altimate Code.
- **Direction for growth**: Becoming the go-to agentic layer for data teams across all major cloud warehouses, with a focus on trust, governance, and production reliability.

## Why Work Here
- **Culture highlights**: Fast-growing startup with a strong engineering-first culture; emphasis on building AI agents that data teams can trust in production; collaborative and remote-friendly environment.
- **Remote/hybrid/office policy**: Hybrid/In-Office model with physical offices in Sunnyvale, CA (HQ) and Bangalore, India. Some roles may be remote-friendly.
- **Notable perks or engineering culture**: 
  - Open-source ethos (Altimate Code)
  - Cutting-edge AI/LLM work applied to real-world data engineering problems
  - High-impact, autonomous workflows that save teams "days of effort every week"
  - Strong talent pool from companies like Databricks, Snowflake, kipi.ai, Metaplane, and Acceldata
  - 42-person team with rapid growth trajectory, offering significant ownership and impact
- **Active roles**: Product Manager, Staff Product Manager, Staff Backend Engineer, Product Engineer, Senior Software Engineer, Senior Machine Learning Engineer, Technical Lead, Technical Content Creator

## Sources
1. [Altimate.ai Official Site](https://altimate.ai/)
2. [Altimate.ai Careers Page](https://jobs.ashbyhq.com/altimate)
3. [Altimate AI LinkedIn](https://www.linkedin.com/company/altimate-ai)
4. [Built In - Altimate AI Careers](https://builtin.com/company/altimate-ai)
5. [Crunchbase - Altimate AI](https://www.crunchbase.com/organization/altimate-ai)

## Other roles at Altimate.ai

- [Digital Marketing Manager](https://feeny.ai/job/digital-marketing-manager-altimate-ai-remote-ntpvp7hq51s8)
- [Staff Software Engineer - India](https://feeny.ai/job/staff-software-engineer-india-altimate-ai-bengaluru-mv0s8p6ej4my) — Bengaluru, India
- [Product Manager](https://feeny.ai/job/product-manager-altimate-ai-bengaluru-tw21ym7s0g4c) — Bengaluru, India
- [Data Engineer](https://feeny.ai/job/data-engineer-altimate-ai-bengaluru-n54hrernpf8k) — Bengaluru, India
- [Product Manager](https://feeny.ai/job/product-manager-altimate-ai-sunnyvale-82neh6q3vwr5) — Sunnyvale, CA
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