Sr Manager Product Context Engineering

Job Summary:

The Senior Manager of Product Context Engineering leads the design, delivery, and continuous improvement of enterprise technology solutions that drive business growth and transformation. This role oversees a portfolio of products throughout the lifecycle, establishes context engineering and agent framework standards, and provides technical leadership to engineering teams. The Senior Manager partners with business leaders and stakeholders to deliver secure, scalable, and high-quality solutions while mentoring engineers, improving delivery processes, and advancing innovation across the organization.

Job Duties:

• Leads, develops, and mentors context engineers and software developers in designing, building, testing, deploying, and supporting secure, scalable custom enterprise applications
• Responsible for meeting business goals by delivering and enhancing innovative products as a part of how BDO delivers services.
• Partners with product owners, business stakeholders, architects, and technology teams to understand business processes, define solution context, and translate strategic goals into compelling product capabilities
• Establishes product roadmaps, delivery plans, technical priorities, milestones, budgets, timelines, and resource requirements for Product Development initiatives
• Oversee a portfolio of enterprise applications across the full product lifecycle, including ideation, requirements, architecture, implementation, testing, deployment, support, enhancement, and retirement
• Evaluates and prioritizes product opportunities and technical approaches based on business value, effort, cost, risk, dependencies, feasibility, and expected return on investment
• Aligns product development practices and delivery processes with Enterprise Development strategy, firm policies, security standards, architecture requirements, and continuous improvement objectives
• Drives cross-functional collaboration, innovation, and informed decision-making across engineering teams, business lines, product leadership, and technology partners
• Monitors delivery performance, application quality, operational readiness, realized business value, and stakeholder satisfaction; communicates progress and outcomes to leadership
• Identifies and escalates delivery risks, technical issues, resource constraints, dependencies, and quality concerns through appropriate governance channels
• Performs all responsibilities inherent in a managerial role, including recruiting, performance management, coaching, career development, workforce planning, and building high-performing teams

Supervisory Responsibilities:
• Manages and mentors the work of others on team

Qualifications, Knowledge, Skills, and Abilities:

Education:
• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence and Five (5) or more years managing product development teams, required; OR high school diploma and ten or more years of Product Development focused in application development, required

Experience:
• Experience within a professional services environment, preferred

License(s)/Certification(s):
• SAFe Certification(s), preferred
• Microsoft Certified: Azure AI Engineer Associate, preferred
• Microsoft Certified: Azure Developer Associate, preferred
• Certified ScrumMaster, PMI Agile Certified Practitioner, or comparable project delivery certification, preferred

Software:
o Microsoft Azure, Azure AI Foundry, Azure OpenAI, and Azure AI Search, required
o Git-based source control and collaboration platforms, required
o Application programming interfaces, database systems, automated testing tools, and observability platforms, required
o Microsoft 365, required
o Microsoft .NET and C#, preferred
o Python, preferred
o Claude Code, GitHub Copilot, or comparable agentic development tooling, preferred

Language(s):
• N/A

Other Knowledge, Skills & Abilities:
• Expert knowledge of context engineering, retrieval and grounding strategies, prompt and agent-instruction architecture, and production of large language model systems
• Advanced knowledge of enterprise application architecture, cloud delivery, software development lifecycle practices, APIs, databases, system integration, automated testing, and observability
• Strong understanding of context windows, token economics, embeddings, vector and hybrid search, metadata filtering, re-ranking, and retrieval-quality evaluation
• Ability to lead hands-on technical delivery, establish engineering standards and governance, and build secure, scalable, maintainable, and high-quality enterprise solutions
• Ability to translate complex business and technical knowledge into clear, structured, reusable engineering assets and communicate technical concepts effectively to business audiences
• Ability to evaluate technical options and make sound decisions based on security, privacy, scalability, maintainability, cost, delivery risk, feasibility, and business value
• Strong understanding of data privacy, information security, access controls, compliance, and auditability requirements for AI-enabled and enterprise applications
• Exceptional written, verbal, presentation, facilitation, listening, relationship-building, and conflict-resolution skills, with the ability to influence executive leaders, governance bodies, architecture teams, and business stakeholders
• Ability to coach technical professionals, lead high-performing cross-functional teams, build consensus, and drive shared outcomes without relying on direct authority
• Ability to collaborate effectively across product, technology, architecture, security, risk, compliance, and business teams in a dynamic, complex operating environment
• Ability to manage multiple initiatives, priorities, dependencies, and competing deadlines while maintaining transparency, adaptability, operational discipline, and continuous improvement
• Self-directed, systems-oriented approach to problem solving, learning, planning, decision-making, and execution, with sound judgment in ambiguous situations
• Ability to work beyond standard business hours as business needs require and travel up to 10%, preferred

Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.

National Range: $143,000 - $165,000
Maryland Range: $143,000 - $165,000
NYC/Long Island/Westchester Range: $143,000 - $165,000