Vice President of Engineering

About Us:Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced Vice President of Engineering to play a pivotal role in future success.Website Link- Description:We are looking for a Vice President of Engineering to own how software gets built at Fluent. While the Vice President of Engineering will partner on architecture, the heart of this role is systems, people, and execution. Today, engineering output is constrained by gaps in development practices, testing, AI quality systems, and team ownership. The Vice President of Engineering will be accountable for building a high-functioning engineering organization that can ship reliably, improve continuously, and earn user trust. You will be responsible for Establishing a modern, scalable SDLC, Raising product quality and reliability, Designing how developers, product, and QA work together, Building a culture of ownership, velocity, and continuous improvement, Implementing systems to make AI outputs consistent, testable, and trustworthyThis role will combine hands-on leadership with system-building. Your primary role is to enable the team to deliver high quality production systems, and you probably have high curiosity that leads you to prototype internal tools or workflows.Responsibilities:1. Own the Software Development Lifecycle (SDLC):Design and implement a clear, end-to-end development processShift from end-of-cycle manual QA → continuous, automated testingEstablish standards for:Code qualityTesting coverageRelease processesIncident response and debuggingEnsure new code does not break existing functionality2. Build a Scalable Testing & Quality System:Operationalize automated testing (unit, integration, E2E)Define testing expectations for engineers (tests written alongside code)Reduce reliance on manual QA as the primary quality gateCreate visibility into quality (e.g., error rates, regression rates)3. Establish AI Evaluation & Reliability Systems:Build evaluation (“evals”) frameworks to measure AI output qualityEnsure consistent, deterministic-enough outputs for critical workflowsDesign human-in-the-loop systems where needed (e.g., review layers before data persistence)Prevent low-trust outputs from reaching users or databasesOwn quality across the AI → product → user pipelineEnsure engineering deliverables against compliance milestones4. Drive Engineering Culture & Role Design:Redesign how Dev, Product, and QA collaborateCreate a culture where:Engineers solve problems, not just implement ticketsTesting is part of engineering, not a downstream functionIteration is expected and safeRemove friction that prevents engineers from acting with ownership5. Develop the Engineering Team:Coach and level up engineers and engineering managersSet expectations for performance, ownership, and craftImprove estimation quality and delivery predictability over timeBuild a team that can scale with the company6. Improve Velocity Without Sacrificing Trust:Balance speed and quality through better systems (not heroics)Replace fragile “scaffolding” over time with durable systemsIntroduce iterative shipping practices (vs. big-bang releases)7. Clarify Accountability & Execution:Partner with CTO/CPO to refactor and set up delivery teamsCreate clear ownership of delivery across teamsEstablish realistic timelines and continuously improve forecastingBe the accountable leader for engineering executionQualifications:Total Engineering experience of 12-15 years, with leadership experience of 5-7 Years. Having experience in early age startup of 3 years. Has led engineering organizations through 0→1 or 1→n scaling challengesDirect recent experience in a high growth startupHas implemented modern SDLC practices (CI/CD, automated testing, etc.)Has managed teams where quality is developer-ownedExperience building AI-enabled dev teams Comfortable operating in ambiguity while creating structureExperience building AI-enabled productsHas shifted teams from manual QA → developer-owned qualityHas walked into early dev teams and improved them quicklyHas seen great understands how strong engineering organizations operate at scaleHigh urgency and energy; biased toward actionOwnership mindset: accountable for outcomes, not just processPragmatic: knows when to move fast vs. when to stabilizeWilling to challenge existing norms and redesign how teams workStrong judgment under pressureAble to lead while comfortable going hands-on to boost (e.g., prototyping internal tools)

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