QA Lead

Inflection.io is an exciting, venture-backed B2B marketing automation startup designed for growth. We make it easy for modern marketing teams to bring together huge amounts of data—from CRMs, data warehouses, and real-time web activity—all in one flexible platform. With this data, our customers can create powerful, AI-driven workflows and truly personalized customer journeys that adapt in real time. The result? Faster experimentation, deeper insights, and measurable growth.
And the best part—it’s working! Top SaaS companies like Sauce Labs, Postman, Bill.com, Mural, and Vercel trust us. We’ve earned an impressive 5-star rating on G2, achieved over 100% net revenue retention, and keep breaking sales and customer records. Since 2021, we’ve raised $14M (including $7.6M in fresh funding in 2024), so we have many years of exciting work ahead.
About the role:
As a QA Lead, you'll establish and own quality engineering across our product — working across frontend, API, and backend layers. You'll inherit a small team (contractors and full-timers) and be expected to ramp them up while building scalable test infrastructure. This is not a purely managerial role — we expect you to write code, build frameworks, and stay close to the product. We're looking for someone to take the baton, build the function, and make it their own. You'll be the first dedicated QA lead, which means real ownership and real impact from day one.
What you’ll be doing
Own and evolve scalable automation frameworks using Playwright and/or Cypress across UI, API, regression, and end-to-end flows

Define and drive test strategy in collaboration with product and engineering — including shift-left practices integrated at design and PR stage

Mentor and manage QA contractors and full-timers; run code reviews, guide framework decisions, and unblock the team day-to-day

Build and maintain CI/CD-integrated pipelines for continuous test execution and release gating

Champion AI-assisted testing tools to improve test generation, failure analysis, and coverage identification

Establish quality benchmarks, define go/no-go criteria, and own release readiness for high-impact launches

Perform exploratory and risk-based testing on critical features — not just automation upkeep

Identify flaky tests, coverage gaps, and technical debt in the test suite and drive resolution

Mandatory Qualifications & Skills:
8–12 years in QA/SDET roles, with at least 3 years in a senior or lead capacity.

Strong hands-on Playwright and/or Cypress experience; comfort with JavaScript and TypeScript

Experience building automation frameworks from scratch — including POM, BDD, and data-driven patterns

Strong expertise in building and maintaining cross-service integration test frameworks for microservice-based systems.

Proven ability to ensure reliability of inter-service communication, event-driven workflows, and production-critical business flows.

Hands-on experience leveraging AI-assisted development tools (e.g., Claude, ChatGPT, GitHub Copilot) to accelerate test planning, test strategy creation, test case generation, and quality engineering workflows.

Experience testing cloud-native applications on AWS, GCP, or Azure.

Ability to effectively combine AI-generated insights with engineering judgment to design comprehensive test coverage for complex distributed systems.

Solid API testing skills (REST; gRPC a bonus) and experience with tools like Postman or RestAssured

Proven track record mentoring engineers and working with contractors or distributed teams

Experience in a SaaS or startup — comfortable with ambiguity, shifting priorities, and lean teams

Familiarity with CI/CD platforms (Jenkins, GitHub Actions) and Git-based workflows

Strong communication skills — you can write a test plan or explain a quality risk to a non-technical stakeholder equally well
Nice to have
Familiarity with observability tools such as OpenTelemetry, Datadog, Grafana, Jaeger, or New Relic for debugging and root-cause analysis.

Experience with containerized environments and orchestration platforms such as Docker and Kubernetes.

Knowledge of security testing concepts, API security, and OWASP best practices.

Performance testing background (JMeter, k6, or similar)

Exposure to chaos or resilience testing in distributed systems

Familiarity with LangChain, embeddings, or agentic QA tooling