Quality Assurance Engineer

Location: Bengaluru

About Orbit Shift
At Orbit Shift, we are building the world's first AI-native Sales Operating System, trusted by
enterprise teams to accelerate their GTM motion. Our multi-agent AI system enables actionable
account insights, RFP response generation, targeted nudges, and sales content. Backed by
Peak XV (formerly Sequoia Capital), Stellaris Venture Partners, and other marquee investors,
we are a fast-growing, 3-year-old startup with a team from Amazon, McKinsey, IIT, and
Stanford.

Quality is not a phase at Orbit Shift — it is a mindset embedded across the engineering culture.
We are looking for a QA Engineer who takes genuine ownership of product reliability and brings
both the discipline of structured manual testing and the leverage of well-built automation to keep
our platform enterprise-grade as it scales.

Role Overview
As a QA Engineer at Orbit Shift, you will be the last line of defence before software reaches
enterprise customers — and an early line of offence in catching problems before they are even
built. You will work closely with product managers, engineers, and designers across the full
development lifecycle: reviewing requirements for testability, designing test strategies, executing
manual test cases, and building automation suites that give the team confidence to ship fast
without breaking things.
This role demands someone who is meticulous without being slow, who can think adversarially
about product behaviour, and who understands that testing AI-powered systems introduces a
layer of non-determinism that standard QA playbooks do not fully cover. You will help define
what quality means for an AI product, not just validate it.

Key Responsibilities

• Test Strategy & Planning:
Review PRDs, user stories, and technical designs to identify
testability gaps early. Define test plans, test coverage matrices, and risk-based
prioritisation for each release.

• Manual Testing:
Design and execute thorough manual test cases for functional,
regression, exploratory, edge case, and UX validation across web and API surfaces.
Document findings with clarity and reproducibility.

• Automation Engineering:
Build, maintain, and extend automated test suites for functional
regression, API contracts, and end-to-end user journeys. Integrate tests into CI/CD
pipelines so quality gates are automated, not manual.

• AI Feature Testing:
Develop testing strategies for AI-powered features — including output
consistency checks, prompt regression testing, hallucination detection, and edge case
cataloguing. Work with ML engineers to define acceptable quality thresholds for model
outputs.

• Bug Lifecycle Ownership:
File clear, well-evidenced bug reports with steps to reproduce,
expected vs. actual behaviour, severity classification, and supporting artefacts. Track
bugs through to closure and verify fixes rigorously.

• Performance & Load Testing:
Design and run performance tests to validate system
behaviour under realistic and peak enterprise load conditions. Surface bottlenecks before
they become customer incidents.

• Release Readiness:
Own the release sign-off process — coordinate with engineering and
product to define go/no-go criteria, maintain a release checklist, and communicate quality
status clearly to stakeholders.

• Process Improvement:
Continuously evaluate and improve QA processes, tooling, and
coverage. Identify patterns in defects and drive root cause elimination upstream.

What We're Looking For

• 4–7 years of QA experience across manual and automation testing, ideally in a B2B SaaS
or enterprise software environment.

• Proven track record of owning test strategy and execution for complex, multi-component
products in an agile delivery environment.

• Experience testing both frontend web applications and backend APIs — comfortable
context-switching between UI flows and API contracts within the same sprint.
Manual Testing Skills

• Strong command of test case design techniques: equivalence partitioning, boundary value
analysis, decision tables, state transition testing, and exploratory testing heuristics.

• Experience writing detailed, reproducible test cases and maintaining them across evolving
product versions.

• Sharp eye for UX issues, accessibility gaps,…