{"id":2527380,"url":"https://alion.io/job/practice-numbers-senior-manager-quality-engineering","title":"Senior Manager Quality Engineering","company":{"id":2763798,"name":"Practice Numbers","domain":"practicenumbers.com","url":"https://alion.io/company/practicenumbers","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"role":"Management","role_family":"Management","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"GitLab CI","optional":false},{"name":"Hallucination","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Playwright","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-10T04:41:19Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-14T23:11:09Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Senior Manager, Quality Engineering - AI-Native & Hands-On\nCompany: Practice by Numbers\nLocation: Gurgaon In-Office | Full-Time\nAbout Practice by Numbers\nPractice by Numbers builds an integrated business management platform for dental practices. Our products span business analytics, patient communication, VoIP, payments, and AI-powered call intelligence - from PracticeIQ for intelligent analytics to PbN VOICE, PbN Payments, and Call AI.\nWe're a profitable SaaS company approaching eight figures in revenue, grown mostly organically through product excellence, inbound-driven sales, and an obsession with customer outcomes. Our software runs the daily operations of solo practices, group practices, and DSOs. When we ship a defect, a front desk can't collect a payment, a patient doesn't get a reminder, or a practice owner makes a decision on a number that's wrong. Reliability, accuracy, and privacy are not abstractions here.\nOur Culture\nWe're curious, collaborative, and customer-obsessed. QA at Practice by Numbers is not about finding bugs - it's about building confidence in every release. Quality Engineering partners closely with product managers and developers so that quality is designed in rather than inspected in at the end.\nOur values\nTransparency: We communicate honestly with our teams and our customers.\nAccountability: We own quality outcomes and never compromise on reliability.\nInnovation: We champion smarter, scalable QA practices and automation.\nEmpathy: We test from the user’s perspective, ensuring real-world value.\nWe prefer evidence over ceremony, shared ownership over functional silos, and durable engineering over manual heroics.\nThe Role\nWe are looking for a highly technical Senior Manager of Quality Engineering to lead a team of 6 to 10 QA and Quality Engineers and modernize how quality is built into our products.\nThis is not a traditional QA management role. We do not believe quality scales by maintaining a fixed developer-to-QA ratio. We expect this leader to increase quality and release confidence faster than QA headcount grows - through engineering, AI, observability, and shared ownership. If our engineering team goes from 20 developers to 35, the plan is not five more testers; the plan is a quality organization that got better at leverage.\nWe are not looking for someone to build a larger manual regression organization or to measure success by test-case counts. We're looking for someone who raises release confidence through better engineering: reliable automation, AI-assisted workflows, production observability, sharp risk judgment, tests placed at the right layer, and quality that developers and product managers share ownership of rather than outsource.\nYou will stay meaningfully hands-on. You will personally write and review automation code, design testing architecture, investigate difficult production issues, analyze failures, and improve CI/CD quality systems. This is not a coordination-only position, and the technical work will not be delegated to an automation team while you run the process.\nYou will not be the last gate before release. Your responsibility is not to become the department that owns quality on behalf of everyone else. It is to build the automated gates, risk signals, and observability that let Engineering and Product make informed release decisions together - and to challenge a release, clearly and with evidence, when the risk isn't worth it.\nKey Responsibilities\nEstablish a modern quality-engineering operating model based on shared ownership across Engineering, Product, DevOps, and Quality Engineering, and define risk-based testing strategies for our critical customer workflows, integrations, and platforms.\nDetermine where specialized quality engineers add the greatest leverage, and where developer-owned tests, architecture, observability, automation, or product-design changes should carry the load instead.\nImprove requirements, acceptance criteria, technical designs, testability, error handling, and observability before implementation begins.\nOwn the architecture and evolution of our web, API, integration, and end-to-end automation, and personally build and maintain production-quality code in Playwright and TypeScript, including reusable libraries, fixtures, test-data systems, environment configuration, reporting, and parallel execution.\nReview pull requests, debug framework and pipeline failures, and establish engineering standards for the team.\nPartner with developers to place tests at the correct layer, including unit, component, contract, API, and integration, rather than over-relying on slow or brittle UI automation.\nIntegrate high-signal suites into Jenkins, GitLab CI, or similar pipelines and continuously improve execution speed, stability, and diagnosability. Treat flaky and noisy tests as engineering defects, not weather.\nUse exploratory and manual testing deliberately for discovery, usability, and unknown failure modes, not as the default mechanism for repeated regression validation.\nUse AI coding assistants and agents in your own daily engineering workflow across requirements analysis, test design, automation development, code review, debugging, and log and incident analysis. Establish practical AI-assisted workflows for the team and measure whether they actually improve development time, maintenance effort, diagnosis time, or release-validation speed.\nCritically evaluate AI-generated code, tests, and analysis for correctness, maintainability, security, and privacy, and coach the team on detecting plausible but incorrect output.\nDefine testing and evaluation strategies for our AI assistants, call intelligence, and automated conversations. Build repeatable evaluations using representative datasets, scoring rubrics, adversarial scenarios, and human review, covering accuracy, context retention, fallback logic, hallucination risk, unsafe output, privacy, and latency, and catch regressions caused by model, prompt, retrieval, or data changes.\nInvestigate production and pre-production issues using SQL, logs, traces, API requests, browser developer tools, monitoring platforms, and error tracking. Lead root-cause analysis that addresses the architectural, testing, observability, or ownership gap that allowed the defect to escape.\nStrengthen post-release validation, synthetic monitoring, and production feedback loops so customer-impacting failures are found by us, not by a practice manager on the phone. Partner with Engineering, DevOps, Product, and Support to reduce repeat incidents.\nMaintain a small set of quality signals that mean something, including escaped severe defects, repeat incidents, flaky-test rate, time to trustworthy feedback, release-validation time, and coverage of key risks. Provide clear release-risk recommendations backed by automated quality gates rather than manual approval.\nLead, coach, and develop a team of 6 to 10 QA and Quality Engineers through clear goals, one-on-ones, direct feedback, performance reviews, hiring, onboarding, and career growth. Raise the technical bar and help people move from test execution toward higher-leverage quality engineering.\nRepresent quality in sprint planning, estimation, refinement, and retrospectives so risk is part of delivery planning rather than a downstream surprise. Create accountability without unnecessary process, and scale quality through better systems rather than linear headcount.\nRequired Experience\nSubstantial experience in software quality, test automation, or quality engineering, including meaningful experience leading and developing engineers. Candidates will typically have 8 or more years of relevant experience, above 4 years of automation experience and 3 or more years of people leadership, but demonstrated impact matters more than tenure alone.\nRecent hands-on coding. You have personally written, reviewed, debugged, and maintained production automation code within the last year, and you can talk through it in detail.\nStrong software-engineering ability in TypeScript, JavaScript, or a comparable programming language.\nStrong experience with modern browser and API automation. Playwright and TypeScript are preferred. Candidates coming from Selenium, Cypress, or another ecosystem must demonstrate strong current coding ability and a track record of modernizing legacy automation architecture.\nExperience designing automation systems, not only adding scripts to an existing framework.\nStrong understanding of test layering, API and integration testing, asynchronous systems, distributed SaaS architectures, databases, third-party integrations, and failure handling.\nExperience integrating automated validation into CI/CD pipelines and improving execution reliability and speed.\nPractical, current use of AI coding assistants or agents. You can describe specific workflows, measurable benefits, the limits you hit, and a concrete case where the AI was confidently wrong and how you caught it.\nStrong production-debugging skills using SQL, logs, traces, observability systems, network requests, and application behavior.\nA track record of improving quality without a proportional increase in manual QA headcount.\nStrong judgment about when to automate, when to fix the underlying design, when developers should own the test, and when exploratory human testing adds the most value.\nStrong communication skills, experience with distributed teams, and the willingness to challenge unclear requirements, fragile designs, or high-risk releases using evidence rather than hierarchy.\nPreferred Experience\nTesting AI assistants, LLM-powered products, conversational systems, call intelligence, or automated communication workflows.\nHealthcare SaaS, dental technology, VoIP, payments, analytics, or other business-critical platforms.\nMobile automation, cloud systems, distributed architectures, third-party integrations, and asynchronous processing.\nPerformance, reliability, security, privacy, accessibility, and observability testing.\nExperience transforming a traditional QA team into a modern Quality Engineering organization.\nExperience supporting enterprise or multi-location customers.\nCandidate Mindset\nThe right candidate is hands-on, AI-native, and focused on the quality of work. They balance release speed with customer trust, make decisions based on risk and evidence, build accountability without unnecessary process, and set a high technical bar for the team.\nThis role is probably not the right fit if:\nYour primary model for improving quality is adding more manual testers as the development organization grows.\nYou believe QA should be solely responsible for testing and approving everything developers build.\nYou measure QA productivity mainly through test-case counts, defect counts, or automation-script counts.\nYou have moved away from writing and reviewing technical work and expect an automation team to handle it for you.\nYour use of AI is limited to generating unchecked test cases or documentation.\nYou prefer extensive process and approvals over engineering leverage, risk-based judgment, and fast feedback.\nNone of these make someone a poor QA leader. They make someone a poor fit for this particular role.\nSuccess Measures\nFaster releases with no deterioration in reliability or customer trust.\nFewer severe escaped defects and fewer repeat production incidents.\nShorter time from code change to quality feedback the team can trust.\nFaster, more predictable release validation.\nA stable, maintainable, high-signal automation portfolio and a falling flaky-test rate.\nReduced dependence on repeated manual regression testing.\nMore coverage at the API, integration, contract, and component layers rather than excessive UI-only automation.\nFaster production diagnosis and stronger incident-prevention practices.\nMeasurable productivity gains from AI-assisted quality engineering without compromising correctness, privacy, or maintainability.\nA technically stronger team that can code, investigate, reason about risk, and c...","description_format":"text","description_chars":12241,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T12:25:24Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.577,"p_room":0.45,"age_days":34,"expected_fill_days":23,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-15T02:41:52Z"},"pay":null,"html_url":"https://alion.io/job/practice-numbers-senior-manager-quality-engineering","json_url":"https://alion.io/job/practice-numbers-senior-manager-quality-engineering.json","meta":{"generated_at":"2026-10-15T02:41:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3983,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2763798},"rest":"https://alion.io/mcp/rest/get_company?id=2763798"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpractice-numbers-senior-manager-quality-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpractice-numbers-senior-manager-quality-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpractice-numbers-senior-manager-quality-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/practice-numbers-senior-manager-quality-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpractice-numbers-senior-manager-quality-engineering"}]}