[Hiring] Manager, Technical Delivery - Engineering @AccessHope

Role Description

AccessHope is seeking a Manager, Technical Delivery - Engineering to help us uniquely deploy the latest cancer knowledge to the places it’s needed most. As an ideal candidate, you’ll own the execution of complex, multi-team technical and AI initiatives. This is a delivery-focused role, not a product-strategy or roadmap-ownership position where you'll partner closely with Engineering Managers, AI/data teams, product, and external technology partners to translate priorities into executable plans, track dependencies and risks, and drive initiatives from concept through production readiness. This role may oversee a team as our initiatives scale.

Key Responsibilities

• Technical Delivery Management
  • Own end-to-end delivery for cross-team engineering and AI initiatives (migrations, platform rollouts, infra projects, major system changes)
  • Maintain an integrated view of active initiatives: milestones, dependencies, owners, risks, and decisions
  • Drive project plans and follow-ups across engineering, AI, product, operations, security, and other stakeholders
  • Identify delivery risks and blockers early, including resourcing gaps, sequencing conflicts, technical debt tradeoffs, and escalate issues requiring leadership decisions
• Vendor & Partner Coordination
  • Serve as the coordination point for external AI and technology partners
  • Track vendor deliverables, timelines, technical dependencies, and open questions
  • Coordinate internal stakeholders required for vendor integrations, testing, security reviews, and implementation
  • Evaluate whether vendor deliverables meet agreed requirements and acceptance criteria
• AI & Technical Product Execution
  • Oversee delivery for AI application development efforts, coordinating across ML, backend, and platform teams
  • Partner with technical teams to understand architecture, data requirements, integrations, model evaluation, and deployment considerations
  • Coordinate testing and evaluation activities, including tracking accuracy, quality, latency, and reliability
  • Maintain documentation of technical capabilities, limitations, assumptions, and validation results
  • Align vendor practices with AccessHope internal policies and best practices
• Quality Assurance Oversight for AI Products & Initiatives
  • Own QA strategy and execution across AI products and initiatives, ensuring rigorous testing prior to production release
  • Define and track QA acceptance criteria for model outputs, including accuracy, reliability, bias, and edge-case handling
  • Coordinate QA activities across internal teams and external vendors, ensuring test plans, defect tracking, and sign-off processes are followed consistently
  • Partner with AI/ML and engineering teams to design test cases that validate functionality, performance, and safety of AI features before launch
  • Maintain a QA/testing log and ensure issues are triaged, remediated, and re-validated prior to go-live
  • Ensure AI products meet internal quality and compliance standards before being promoted to production environments
• Stakeholder Communication
  • Run delivery-focused rituals (sprint planning, retros, launch readiness reviews, go/no-go checkpoints) with technical fluency
  • Maintain decision logs, risk registers, project dashboards, and meeting outputs
  • Translate technical progress into clear, business-friendly language for non-technical stakeholders
  • Prepare concise delivery updates for engineering leadership
• Leadership
  • Hire and manage a team of Technical Delivery Leads
  • Mentor

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or similar field of study
• 4 years of experience plus min experience may substitute for minimum education requirements
• 7+ years experience in software engineering, systems design, or a technical delivery/TPM role within an engineering org
• Strong familiarity with AI/ML application development lifecycles
• Comfort reading architecture diagrams and discussing tradeoffs (latency, scalability, tech debt) with engineers as a peer
• Experience coordinating external vendors or technology partners
• Experience owning or coordinating QA processes for software or AI products, including test planning and defect management

Preferred Qualifications

• Master’s Degree in Computer Science, Engineering, or related field
• 10+ years experience in software engineering, systems design, or a technical delivery/TPM role within an engineering org
• Experience with AI/ML application development lifecycles
• Comfort reading architecture diagrams and discussing tradeoffs (latency, scalability, tech debt) with engineers as a peer
• Experience coordinating external vendors or technology partners
• Experience owning or coordinating QA processes for software or AI products, including test planning and defect management

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