Job Description

Senior QA Engineer / Quality Owner - Core Platform (Tvara)About the Role

At Tvara, quality is not a final checkpoint -- it is a

first-class system design concern

.

We are looking for a

Senior QA Engineer / Quality Owner

who will sit at the top of the product and engineering workflow and own

quality as a system

, not just test execution. This role directly impacts the reliability of Tvara's Sales Brain, persona-matching logic, campaign orchestration, integrations, and data pipelines.

You will work closely with founders, product, backend, AI, and infra teams to ensure that what we ship is

predictable, explainable, and production-safe

across complex workflows.

This is not a "ticket-based QA" role. This is a

thinking role

.

What You'll Actually Own

Define

quality strategy

for Tvara's core platform ---APIs, AI workflows, campaigns, data pipelines, and integrations Act as the

quality gatekeeper

for the Sales Brain: lead matching, persona logic, scoring, proposal generation, follow-ups, analytics Design

test architecture

, not just test cases -- what should be tested, why, and at which layer Validate end-to-end workflows (Lead ? Match ? Campaign ? Proposal ? CRM ? Analytics), not isolated features Ensure

data correctness, determinism, and failure safety

in AI-assisted flows Work upstream with product to identify ambiguity, edge cases, and hidden assumptions

before code is written

Own

release confidence

-- no feature ships without quality sign-off Define

non-functional quality metrics

: reliability, latency tolerance, fallback behavior, explainability Drive test automation selectively where it actually reduces risk (not automation for optics)
Core ResponsibilitiesQuality Strategy & Ownership

Define and maintain

QA standards

across frontend, backend, AI services, and integrations Establish test coverage strategy across: API contracts Workflow orchestration AI decision paths Data transformations Third-party dependencies
Deep System Testing

Perform

scenario-based testing

(real sales situations, real buyer behavior edge cases) Validate AI outputs for: Consistency Logical correctness Data leakage Hallucination risk Fallback behavior Test failure paths: partial data, API downtime, rate limits, malformed inputs
Automation & Tooling

Build and maintain

targeted automation

for: Regression-prone workflows Critical APIs High-impact flows (campaigns, proposals, CRM sync) Integrate QA checks into CI/CD pipelines with meaningful signals (not noisy pass/fail)
Collaboration & Influence

Act as a

quality advisor

to product and engineering leadership Challenge specs and assumptions constructively Participate in sprint planning as a

risk identifier

, not just executor Provide release-level quality reports with clear go/no-go signals
Required Background

4-8+ years in QA / Quality Engineering (product or platform companies preferred) Strong understanding of

distributed systems, APIs, and data flows

Experience testing

workflow-heavy products

, not just CRUD apps Solid grasp of: API testing (REST, async flows) SQL/data validation Integration testing Ability to think in

systems and failure modes

Comfortable reading backend code (Node.js / Python level understanding is sufficient) Strong written and verbal clarity -- you must explain risk, not just report bugs
Strongly Preferred (Very Relevant to Tvara)

Experience testing

AI-powered or rule+AI hybrid systems

Understanding of: Prompt-driven workflows Scoring / ranking systems Recommendation logic Familiarity with: Postman / REST Assured Cypress / Playwright / similar CI/CD pipelines Prior work in: SaaS platforms Sales, CRM, marketing automation, or workflow engines
What Success Looks Like in This Role

Releases go out with

confidence

, not hope Fewer production surprises - when something breaks, it's explainable Engineering velocity increases because quality risks are caught early Product decisions improve because edge cases are surfaced upfront QA is seen as a

thinking partner

, not a bottleneck
Why This Role Matters at Tvara

Tvara is building a

Sales Brain

, not a tool.
When systems make decisions,

quality becomes ethics, trust, and revenue

.

This role ensures that intelligence behaves responsibly, predictably, and at scale.

Job Type: Full-time

Pay: ?30,000.00 per month

Work Location: In person