Manager, Technical Delivery – Engineering

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $100.8k - $134.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤓 Technical Project Manager

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AccessHope

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $33M Series B - AccessHope on 2024-04

Healthcare • SaaS • B2B

AccessHope is a healthcare company that connects local treating oncologists and patients with National Cancer Institute-designated comprehensive cancer center (NCI-CCC) subspecialists to expand access to expert cancer knowledge and improve treatment. They provide personalized case reviews, expert recommendations, clinical trial matching and enrollment support, continuing medical education (CME) programs, and employer- and health-plan-facing benefits to optimize oncology care and reduce waste. AccessHope partners with leading cancer centers (e. g. , City of Hope, Dana-Farber, Johns Hopkins, Fred Hutch, Northwestern, Emory, UT Southwestern) and offers services to employers, health plans, consultants, and treating oncologists. The service aims to bring NCI-level expertise to patients regardless of location, improving outcomes and aligning care with evidence-based standards.

📋 Description

• Own end-to-end delivery for cross-team engineering and AI initiatives, including migrations, platform rollouts, infrastructure projects, and major system changes • Maintain integrated views of 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, including resourcing gaps, sequencing conflicts, technical debt tradeoffs, and escalate issues requiring leadership decisions • Coordinate external AI and technology partners, including deliverables, timelines, technical dependencies, open questions, integrations, testing, security reviews, and implementation • Evaluate vendor deliverables against agreed requirements and acceptance criteria • Oversee AI application development delivery across ML, backend, and platform teams • Partner with technical teams on architecture, data requirements, integrations, model evaluation, and deployment considerations • Coordinate testing and evaluation activities, including accuracy, quality, latency, and reliability tracking • Maintain documentation of technical capabilities, limitations, assumptions, and validation results • Align vendor practices with AccessHope internal policies and best practices • Own QA strategy and execution across AI products and initiatives • 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, including test plans, defect tracking, and sign-off processes • Design test cases with AI/ML and engineering teams to validate functionality, performance, and safety before launch • Maintain QA/testing logs and ensure issues are triaged, remediated, and re-validated before go-live • Ensure AI products meet internal quality and compliance standards before production • Run delivery-focused rituals 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 concise delivery updates for engineering leadership • Hire and manage a team of Technical Delivery Leads • Mentor team members • May oversee a team as initiatives scale

🎯 Requirements

• 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 • Must be eligible to work in the U.S. without employer sponsorship for an employment visa or any other type of US work authorization • Preferred: Master’s Degree in Computer Science, Engineering, or related field • Preferred: 10+ years experience in software engineering, systems design, or a technical delivery/TPM role within an engineering org

🏖️ 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%

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