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About the Role
This role focuses on leveraging artificial intelligence across the software development lifecycle (SDLC) to transform how digital products are designed, built, tested, and deployed. You will partner with executive-level client stakeholders to define product strategies and lead the adoption of AI-driven approaches that improve engineering velocity, product quality, and delivery outcomes.
Responsibilities
- Partner with senior stakeholders to define product strategies that incorporate AI-driven enhancements across the SDLC, improving speed, quality, and scalability of product delivery
- Lead the integration of AI capabilities into product development workflows, including AI-assisted coding, requirements generation, test automation, and DevOps optimization
- Translate business and product needs into requirements that leverage AI tools to enhance engineering productivity, code quality, and delivery efficiency
- Collaborate with engineering, architecture, and data teams to implement AI-enabled development practices, such as code generation tools (e.g., copilots), automated documentation, and intelligent debugging
- Drive adoption of AI in quality engineering, including automated test case generation, defect prediction, and continuous testing strategies
- Identify opportunities to embed AI into CI/CD pipelines, enabling smarter build, release, and monitoring processes, including incident detection and root cause analysis
- Facilitate prioritization decisions that balance business value with engineering efficiency gains enabled by AI tools and automation
- Oversee Agile product delivery, ensuring alignment between roadmap, backlog, and AI-augmented development workflows
- Establish metrics to measure success, including improvements in developer productivity, cycle time, defect rates, and release velocity
- Guide clients in adopting best practices for responsible and effective use of AI in software engineering, including governance, risk management, and tool selection
- Mentor teams on modern product management practices that incorporate AI into the SDLC, fostering a culture of innovation and continuous improvement
Requirements
- 8+ years of experience in product management, business analysis, or related roles, with a strong track record of delivering enterprise software products
- Experience working in consulting environments and leading client engagements focused on digital product delivery
- Deep understanding of modern SDLC practices, including Agile, DevOps, and CI/CD, with experience improving software delivery performance
- Experience leveraging AI tools across the software development lifecycle, including AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Cursor, Replit Ghostwriter) to accelerate coding and engineering workflows
- Experience leveraging LLM platforms and APIs (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI) for prototyping and integrating AI capabilities into development processes
- Experience with prompt engineering and experimentation tools (e.g., PromptLayer, LangChain, LlamaIndex) to design, test, and optimize AI-assisted workflows
- Experience with AI-enabled testing and QA tools (e.g., Testim, Mabl, Diffblue, or similar) for automated test generation and quality assurance
- Experience with AI-powered DevOps and observability tools (e.g., Datadog AIOps, Dynatrace, New Relic AI) for monitoring, incident detection, and performance optimization
- Familiarity with emerging AI capabilities in engineering workflows, including code generation, automated documentation, intelligent debugging, and test case generation
- Ability to evaluate and select AI tools based on use case fit, scalability, security, and integration with existing development ecosystems
- Experience defining and tracking success metrics related to AI adoption in SDLC, such as developer productivity, cycle time reduction, defect rates, and deployment frequency
- Proficiency with product and delivery tools (e.g., Jira) and experience working closely with engineering teams
- Strong stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences
- Strong business acumen and ability to articulate the value of AI-driven improvements in software delivery performance
- Demonstrated ability to mentor and guide teams in adopting AI-enabled development practices, fostering a culture of experimentation and continuous improvement
- Passion for staying current with emerging trends in AI for software engineering, developer experience (DevEx), and product delivery transformation
Skills
- AI
- Product Management
- SDLC
- Agile
- DevOps
- CI/CD
- AI-assisted development tools
- LLM platforms and APIs
- Prompt engineering
- AI-enabled testing and QA tools
- AI-powered DevOps and observability tools
- Jira
Location
- Seattle
- Washington, D.C.
- Los Angeles
- New York City
- San Francisco
- US
Work Type
- Onsite
Experience Level
- Principal
Salary/Compensations
- Seattle or Washington, D.C.: $154,400—$181,500 USD
- Los Angeles: $161,700—$190,200 USD
- New York City or San Francisco: $169,100—$198,800 USD
- A location not listed above: $147,000—$172,900 USD
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Basic life insurance
- 401k plan
- Employee stock ownership program
- Annual bonuses
- Unlimited flexible time off
- Ten paid holidays
- Ten weeks of paid parental leave
About the Company
- West Monroe is a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.
- We’re fluent in both business and technology.
- We rely on data to constantly adapt and solve new challenges.
- We zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next.
- Collaboration isn’t a lofty promise, but a daily action.
Equal Opportunity
- West Monroe is an Equal Employment Opportunity Employer
- We believe in treating each employee and applicant for employment fairly and with dignity.
- We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law.