Full-Time
Senior Software Test Engineer
Copilot Foundations
Posted on 10/6/2025
Clari
501-1,000 employees
AI-driven B2B revenue forecasting platform
No salary listed
Bengaluru, Karnataka, India
Remote
Candidates must be based in India and able to travel to the office in Bengaluru as needed.
 QA & Testing (1) |
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- 5+ years of backend/API testing experience with increasing ownership.
- Expert Java for test automation and framework design; comfortable reading Node.js/Python services.
- Hands-on with TestNG/JUnit, RestAssured, build tools (Maven/Gradle), and CI (GitHub Actions/Jenkins).
- Strong LLD/OO design (SOLID), clean abstractions, and code review discipline for test code.
- Deep experience with REST/gRPC, API contracts, auth (OAuth/SAML), contract testing (e.g., WireMock/Pact), and negative/edge-case design.
- Proven debugging across distributed systems: logs/traces, HTTP, queues/streams, data stores, and service boundaries.
- Practical SQL (Postgres/MySQL) and working knowledge of NoSQL (e.g., MongoDB); confident with data setup/validation.
- Familiar with containers/cloud (Docker/Kubernetes, AWS/GCP), secrets/config, and environment management.
- Strong requirements elicitation, risk identification, and stakeholder communication.
- Exposure to event-driven systems (Kafka/SQS/PubSub) and streaming/recording pipelines.
- Non-functional testing exposure: performance/load/resilience (e.g., JMeter/Gatling, chaos techniques).
- Own Copilot BE integration/E2E strategy (CRM integration, calendar, recorder, call processing, AI extraction) with measurable coverage goals.
- Turn ambiguous requirements into testable contracts; plan/author scenarios early with PM/Eng.
- Build and evolve Java-based automation frameworks using proper LLD [SOLID, extensible, maintainable etc].
- Implement service & contract testing (REST/gRPC, mocks/stubs, CDC) and validate async/event flows (queues/streams).
- Harden CI/CD quality gates (tiered test suites, parallelism, quarantine/deflake strategy) and integrate with developer workflows.
- Measure & raise coverage/reliability across APIs, contracts, and critical journeys; track quality/flake metrics.
- Debug complex distributed issues (HTTP, auth, data, logs/traces, DB) and drive RCA; improve test observability and test data/fixtures.
- Partner & mentor: influence designs for testability, assess regression blast radius, codify standards, and grow shared testing foundations.
Clari provides AI-powered forecasting, activity intelligence, and pipeline management for B2B revenue teams. It connects with CRM systems to give real-time insights and predictive analytics, helping teams forecast revenue, identify promising deals, and reduce churn. The platform supports sales, marketing, customer success, and operations, enabling cross‑dept collaboration and tighter revenue control. What sets Clari apart is its focus on end‑to‑end revenue operations with automated data capture and continuous forecasting, leveraging CRM integration and automation to keep everyone aligned around a single set of revenue numbers. The company aims to help organizations improve forecast accuracy, increase pipeline transparency, and boost productivity across the revenue organization through a subscription-based platform.
Company Size
501-1,000
Company Stage
Series F
Total Funding
$496M
Headquarters
Sunnyvale, California
Founded
2012
Simplify's Take
What believers are saying
- Forrester study shows 398% ROI, $96.2M value in three years for enterprises.
- New AI tools boost seller productivity and consumption revenue forecasting.
- Serves 5000 customers like Adobe, Zoom with $10T revenue under management.
What critics are saying
- Salesloft merger overlaps products, causing customer confusion and churn in 6-12 months.
- Revenue.io steals mid-size B2B clients with Salesforce-native workflows in 12-18 months.
- Immature AI agents fail, prompting CIOs to reject platform in 6-12 months.
What makes Clari unique
- Clari unifies revenue data from CRM, email, and calendars into AI-driven forecasting.
- Revenue Context enables AI agents to collaborate across $5T revenue processes.
- Merger with Salesloft creates 10B revenue actions dataset for orchestration.
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Benefits
No-cost health plans
401k plan
Generous PTO
Paid parental leave
Wellbeing & professional development funds
Remote & in-office perks
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 3%2 year growth
↑ 6%The breach's timing - just two weeks after Salesloft announced its merger with Clari, a rival revenue orchestration platform provider, set to close later this year - is unfortunate to say the least.
Clari today announced its inclusion in the annual Inc. 5000 list for the fourth consecutive year.
Clari and Salesloft, two Revenue Orchestration category leaders, today announced a definitive agreement to merge. This category-defining move forms a Revenue...
The Access Group's expansion with Clari underscores its commitment to driving predictable, repeatable revenue growth as it scales.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. It’s a conundrum: Customer teams have more data than they can ever begin to use — from Salesforce notes, Jira tickets, project dashboards, Google Docs — but they struggle to bring it all together when crafting customer messaging that really resonates. Existing tools often rely on generic templates or slides and fail to provide a complete picture of customer journeys, roadmaps, project goals and business objectives. Korl, a startup launched today, hopes to overcome these challenges with a new platform that works across multiple systems to help create highly-customized communications. The multi-agent, multimodal tool uses a mix of models from OpenAI, Gemini and Anthropic to source and contextualize data. “Engineers have powerful AI tools, but customer-facing teams are stuck with shallow, disconnected solutions,” Berit Hoffmann, CEO and co-founder of Korl, told VentureBeat in an exclusive interview. “Korl’s core innovation is rooted in our advanced multi-agent pipelines designed to build the customer and product context that generic presentation tools lack.” Creating tailored customer materials through a multi-source viewKorl’s AI agents aggregates information from across different systems — such as engineering documentation from Jira, outlines from Google Docs, designs from Figma and project data from Salesforce — to build a multi-source view. For instance, once a customer connects Korl to Jira, its agent studies existing and planned product capabilities to figure out how to map data and import new product capabilities, Hoffmann explained. The platform matches product data with customer information — such as usage history, business priorities and lifecycle stage — filling in gaps with the use of AI. “Korl’s data agents automatically gather, enrich, and structure diverse datasets from internal sources and external public data,” said Hoffmann. The platform then automatically generates personalized quarterly business reviews (QBRs), renewal pitches, tailored presentations and other materials for use in important customer milestones. Hoffmann said the company’s core differentiator is its ability to deliver “polished, customer-ready materials” such as slides, narratives and emails, “rather than merely analytics or raw insights.”“We think this delivers a level of operational value that customer-facing teams need today given the pressures to do more with less,” she said. Switching between OpenAI, Gemini, Anthropic, based on performanceKorl orchestrates an “ensemble of models” across OpenAI, Gemini and Anthropic, selecting the best model for the job at the time based on speed, accuracy and cost, Hoffmann explained