Manager, Technical Delivery – Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the end-to-end delivery for engineering and AI initiatives that span multiple teams, including migrations, platform rollouts, infrastructure projects, and significant system modifications.

• Maintain comprehensive views of milestones, dependencies, owners, risks, and decisions.

• Lead project plans and follow-up activities involving engineering, AI, product, operations, security, and other stakeholders.

• Identify delivery risks and obstacles, including resource gaps, sequencing conflicts, technical debt trade-offs, and escalate issues that require leadership decisions.

• Coordinate with external AI and technology partners on deliverables, timelines, technical dependencies, open questions, integrations, testing, security reviews, and implementations.

• Assess vendor deliverables against set requirements and acceptance criteria.

• Oversee the development and delivery of AI applications across ML, backend, and platform teams.

• Collaborate with technical teams on architecture, data requirements, integrations, model evaluations, and deployment considerations.

• Coordinate testing and evaluation activities, including tracking accuracy, quality, latency, and reliability.

• Maintain documentation regarding technical capabilities, limitations, assumptions, and validation results.

• Ensure vendor practices align with AccessHope's internal policies and best practices.

• Own the QA strategy and execution for all AI products and initiatives.

• Define and monitor QA acceptance criteria for model outputs, focusing on accuracy, reliability, bias, and edge-case handling.

• Coordinate QA activities across internal teams and external vendors, encompassing test plans, defect tracking, and sign-off processes.

• Design test cases in collaboration with AI/ML and engineering teams to validate functionality, performance, and safety prior to launch.

• Maintain QA/testing logs and ensure that issues are triaged, remediated, and re-validated before going live.

• Ensure that AI products comply with internal quality and compliance standards before production.

• Facilitate delivery-oriented practices such as sprint planning, retrospectives, launch readiness reviews, and go/no-go checkpoints.

• Maintain decision logs, risk registers, project dashboards, and meeting outputs.

• Translate technical progress into clear, business-friendly language.

• Prepare succinct delivery updates for engineering leadership.

• Recruit and manage a team of Technical Delivery Leads.

• Mentor team members.

• May supervise a team as initiatives grow.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field of study.

• 4 years of experience may substitute for minimum education requirements.

• A minimum of 7 years of experience in software engineering, systems design, or a technical delivery/TPM role within an engineering organization.

• Strong understanding of AI/ML application development lifecycles.

• Comfortable interpreting architecture diagrams and discussing trade-offs (latency, scalability, tech debt) with engineers as a peer.

• Experience in coordinating external vendors or technology partners.

• Proven experience in owning or coordinating QA processes for software or AI products, including test planning and defect management.

• Must be eligible to work in the U.S. without employer sponsorship for an employment visa or any other type of U.S. work authorization.

• Preferred: Master’s Degree in Computer Science, Engineering, or a related field.

• Preferred: 10+ years of experience in software engineering, systems design, or a technical delivery/TPM role within an engineering organization.

🏝️ Benefits

• Medical, Dental, and Vision Coverage.

• 401(k) Plan with Employer Match.

• Leader Time Off (LTO).

• Parental Leave.

• Short-Term Disability.

• Voluntary Benefits (e.g., life insurance, additional coverage options).

• Remote work schedule.

• Annual incentive bonus.

• Support or collaboration across multiple time zones.

• May include travel up to 25%.