As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.

Quality Engineering & Test

Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases. Design and implement comprehensive test strategies covering:

• Native mobile applications (iOS & Android)
• Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
• Microservices and distributed systems
• Critical web workflows that intersect with mobile journeys
• Device, OS, browser, and network variability
• App lifecycle events, offline behavior, retries, and edge cases

Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows. Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.

Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management. Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.

Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.

AI-Driven Quality and Automation

Leverage AI to enhance mobile, backend, and web testing effectiveness, including:

• AI-assisted test case and test data generation
• Intelligent regression suite prioritization based on code changes
• Predictive defect detection and risk-based testing
• Flaky test detection and automated stabilization insights

Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.

Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.

Automation Excellence

Design, build, and scale robust automation frameworks using:

• XCUITest, Espresso, Appium (mobile automation)
• Playwright (web and mobile web validation)
• REST Assured or similar tools for API and service validation

Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams. Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:

• Pre-merge quality gates
• Parallelized execution
• Environment-aware test runs
• Post-deployment smoke and regression coverage

Build developer-friendly tooling that enables:

• Self-service test execution
• Real-time reporting and dashboards
• Faster debugging and failure triage
• Scalable test data and environment management

Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.

Performance, Scalability & Reliability

Design and execute performance validation across:

• Mobile app startup time and responsiveness
• API latency, throughput, and reliability
• Backend load and stress conditions
• Web performance for critical flows

Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics. Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.

Ensure reliability validation is embedded directly into release workflows.

Cross-Functional Collaboration and Leadership

Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria. Actively participate in sprint grooming, planning, stand-ups, and retrospectives.

Influence best practices around mobile-first design, API contracts, and release readiness. Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.

Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation. Work effectively with globally distributed teams to coordinate testing across time zones.

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Role Summary : Senior AI Deployment Strategist As a Senior AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes. You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.

What you will do

Strategic Advisory & C-Suite Partnership • Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO). • Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy. • Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.

Presales: Shaping the Vision • Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation. • Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value. • Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.

Postsales: Driving Deployment & Adoption • Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows. • Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results. • Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.

Commercial Growth & Thought Leadership • Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth. • Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement. • Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.

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Responsibilities

• Identify and build AI-powered capabilities into Flow's platform, from intelligent automation in building operations to personalized resident experiences.
• Use AI-assisted development tools (e.g., Cursor, Claude Code) as part of your daily workflow to accelerate development, improve code quality, and push the boundaries of what a small team can ship.
• Collaborate with product and engineering teams to define clear requirements and translate them into software solutions.
• Core contributor to implementing foundational infrastructure, tooling and automation that is scalable, reliable, and secure.
• Elevate site reliability engineering best practices while collaborating with back-end developers.
• Develop service-level tooling to enhance productionization, data migrations, system hardening, and related initiatives.
• Manage and optimize a multi-region environment.
• Be available for on-call activities for infrastructure and services.

Ideal Background

• A minimum 10 years in software engineering, site reliability engineering, or platform engineering.
• Fluency with AI-assisted development tools and a strong point of view on how AI changes the way software gets built.
• Ability to design, implement and maintain the tools and systems that support service reliability, monitoring, and alerting.
• Deep understanding of the principles of ensuring high availability, fault tolerance, and efficiency in distributed systems.
• Experience with Infrastructure as Code (IaC): Proficiency with Terraform.
• Experience with Kubernetes.
• Experience administering cloud-based infrastructure (GCP preferred).
• Experience troubleshooting production issues related to cloud infrastructure, configuration, monitoring, deployments, continuous integration and delivery.
• A keen ability to balance elegant design with pragmatic tradeoffs, prioritizing continuous delivery of business value.
• Ability to quickly learn and adapt to new skillsets.
• Experience building software in fast-moving startup environments.
• Participate in incident response and post-mortems to identify and address systemic issues.

Additional Information Benefits

• Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life)
• Paid time off and 13 paid holidays
• 401(k) retirement plan
• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
• Access to HSA-compatible plans
• Pre-tax commuter benefits
• Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings

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Responsibilities:

System Level Quality Ownership: Own system level quality outcomes for the ART, ensuring the integrated solution is validated end to end. Ensure system level testing validates integration and readiness and does not compensate for missing team level verification. Provide a single point of accountability for ART level quality visibility and decision support.

Scenario Governance & Must Pass Coverage: Own and maintain the ART must pass scenario catalog, ensuring scenarios reflect business intent, deployment scope, and risk. Curate, prioritize, and evolve scenarios based on escaped defects, deployment outcomes, and PI learning. Ensure scenarios are executed consistently and results are recorded as readiness evidence.

System & Regression Test Orchestration: Orchestrate system integration testing, end to end business scenario execution, and ART level regression in integrated environments (primarily QA). Coordinate trigger-based regression execution (build, QA deploy, prerelease), ensuring failures are routed to owning teams for remediation. Ensure regression coverage is layered, risk based, and scalable, not monolithic.

Readiness Evidence & Deployment Support: Own deployment, release, and feature flag readiness reporting, consolidating evidence for Sprint 2 and Sprint 4 deployments. Ensure readiness decisions are based on explicit evidence, including: regression outcomes, must pass scenario execution, feature flag ON/OFF validation, documented risks and waivers. Support GO / GO with risk / NO GO decision forums with clear quality signals.

Defect Triage & Risk Visibility: Coordinate system level defect triage, ensuring ownership, prioritization, and visibility of cross-team issues. Track and surface systemic quality risks and integration issues to ART leadership. Ensure explicit risk acceptance is documented when defects or gaps are waived.

Environment & Test Data Oversight: Track QA and UA environment stability and test data readiness as ART level risks or impediments. Reinforce correct environment usage: QA as the primary integrated environment for functional confidence, UA for selective business validation, UA1, Batlab, and Production for deploy/ops verification only. Partner with DevOps and teams to resolve environment and data issues impacting system validation.

Continuous Improvement & Inspect & Adapt: Consolidate quality inputs for Inspect & Adapt, including escaped defects, regression effectiveness, scenario coverage gaps, and environment issues. Drive ART level quality improvements with named owners and funded capacity each PI. Ensure learning results in measurable, planned change rather than ad hoc fixes.

Collaboration & Enablement: Partner closely with: System Automation Tester on suite health, automation standards, and expansion, Product Management and Business Owners on outcome validation and risk acceptance, RTE on quality visibility, capacity funding, and escalation of systemic risks, Provide guidance and coaching on system level quality expectations and evidence standards.

Success Measures: Deployment and release decisions are supported by clear, trusted readiness evidence. Must pass scenarios accurately reflect business critical flows and are consistently executed. System level defects and risks are visible early and owned by the correct teams. Quality improvement actions are planned, funded, and completed each PI.

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The IT Engineering team at Anthropic builds, secures, and maintains the systems and infrastructure that enable every team to do their best work. We're seeking an experienced engineer with deep expertise across IT domains—from endpoint management and identity systems to cloud infrastructure, networking, and SaaS security—who can help design, build, and maintain the tools and processes that enable and empower Anthropic employees.

In this role, you'll work closely with Security, IT Operations, and Engineering to implement zero-trust architectures and defense-in-depth strategies that both enable the business and meet Anthropic's ambitious security objectives. You'll combine hands-on technical implementation with strategic planning and design, lead technical initiatives across multiple workstreams, mentor other engineers, and spearhead projects that enable Anthropic to scale even faster without compromising on security.

Responsibilities

• Design and implement secure IT infrastructure that scales with rapid growth
• Build automation frameworks that eliminate manual processes and enable self-service
• Lead technical initiatives spanning multiple teams and systems
• Implement robust security controls that maintain user productivity
• Drive architectural decisions through technical analysis and stakeholder input
• Establish engineering best practices and drive adoption across the team
• Create sustainable solutions for vulnerability management and compliance
• Mentor team members and continuously expand your own expertise
• Champion Infrastructure as Code and modern DevOps practices
• Constantly seek new ways to amplify and automate IT with Claude

You may be a good fit if you

• Have 8+ years building secure IT systems in complex environments
• Excel at solving ambiguous problems with multiple stakeholders
• Make evidence-based technical decisions while considering diverse perspectives
• Communicate technical concepts clearly to any audience
• View IT Engineering as requiring product engineering rigor
• Successfully deliver complex projects from conception to production
• Balance strong technical opinions with pragmatic solutions
• Thrive when given ownership of challenging technical problems
• Write clear documentation as a natural part of your workflow
• Actively seek and incorporate feedback

Strong candidates may also

• Have led initiatives requiring coordination across multiple teams
• Transformed traditional IT operations into engineering-driven organizations
• Built strong partnerships with Security and Engineering teams
• Excel at translating between technical and business requirements
• Practice modern development methods (code reviews, testing, CI/CD)
• Have experience building consensus around technical standards
• Demonstrate both mentoring others and learning from peers
• Work effectively in distributed teams

Technical Skills

• Python programming and/or advanced scripting experience
• Terraform and Infrastructure as Code
• AWS or GCP cloud platforms
• Identity protocols (SAML, OAuth, SCIM)
• Heterogeneous environment management (MacOS, ChromeOS, Linux)
• Enterprise SaaS administration and security
• Identity and access management
• CI/CD pipeline design
• Configuration management tools
• Network security
• Modern MDM platforms
• Security frameworks and compliance

Deadline to apply

None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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