Manager, Technical Delivery - Engineering

AccessHope; Polska; Híbrido; PLN 395.000 - 528.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, and Vision Coverage

401(k) Plan with Employer Match

Leader Time Off (LTO)

Short-Term Disability

Voluntary Benefits

Descripción de la vacante

AccessHope is seeking a Manager, Technical Delivery - Engineering to lead cross-team delivery of AI and engineering initiatives. You will own plans, track risks, and coordinate with external partners to ensure production readiness.

You’ll oversee QA for AI products, drive sprint ceremonies, and mentor a growing delivery team. This remote role supports work across the continental US.

Formación

• Bachelor’s degree in Computer Science, Engineering, or similar field.
• 7+ years experience in software engineering or technical delivery roles.
• Experience coordinating external vendors and QA for software/AI products.

Responsabilidades

• Own end-to-end delivery for cross-team engineering and AI initiatives.
• Coordinate with ML, backend, and platform teams on architecture and data needs.
• Oversee QA strategy and execution for AI products and initiatives.
• Run delivery rituals and translate progress for non-technical stakeholders.
• Hire and manage a team of Technical Delivery Leads.

Conocimientos

Technical delivery

AI/ML lifecycle

Vendor coordination

QA processes

Educación

Bachelor's degree in CS/Engineering

Master’s degree (preferred)

Descripción del empleo

Manager, Technical Delivery - Engineering | AccessHope

At AccessHope, we're Fighting cancer with everything we know™ by putting the ever-growing body of cancer knowledge to work for the greater good. Through a revolutionary employer health benefit offering, we remotely connect employees with cancer support services from National Cancer Institute (NCI)-Designated Comprehensive Cancer Centers. Instead of requiring those who have been diagnosed with cancer to come to the centers for renowned cancer expertise, AccessHope brings their support to the patient and their local oncologist-wherever they’re located to improve care, outcomes, and value.

Hopeful for those we support, rebellious in our approach, and collaborative by breaking down barriers, 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 elevate issues requiring leadership decisions
• Serve as the coordination point for external AI and technology partners
• 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

Required 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

Additional Information

• Virtual within the continental U.S.; support or collaboration across multiple time zones; may include travel up to 25%
• Must be eligible to work in the U.S. without employer sponsorship for an employment visa or any other type of US work authorization
• AccessHope is proud to offer a range of benefits to support your health, finances, and work-life balance, including:
• Medical, Dental, and Vision Coverage
• 401(k) Plan with Employer Match
• Leader Time Off (LTO)
• Short-Term Disability
• Voluntary Benefits (e.g., life insurance, additional coverage options)
• Annual incentive bonus
• We're dedicated to helping our employees thrive in all aspects of life.

The estimated pay scale represents the typical pay range AccessHope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This post includes a pay range that represents a 'good faith wage range' and applies to the current posting only.

AccessHope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, identity, age, status as a protected veteran, or status as a qualified individual with disability.

Pay Range:$100,838.40 - $134,621.67 per year