Senior Product Manager

Alzheimer's Disease Data Initiative•Seattle, WA

About The Position

The Senior Product Manager will own the Alzheimer’s Disease Workbench (AD Workbench), a secure, cloud-based data platform for Alzheimer’s disease and related dementias research. The role is accountable for the platform end to end, including setting the roadmap, understanding researchers’ and partners’ needs, maintaining platform health and cost sustainability, and working with the Product & Engineering organization to deliver improvements. It combines user satisfaction, operations, and product management, with a focus on representing users’ needs in product decisions and clarifying ambiguous requirements. The position is the day-to-day owner of the AD Workbench partner relationship and oversees platform support provided by the application management services (AMS) team. The role does not handle support tickets directly, but provides context and judgment to help ensure the team focuses on users’ most important needs. Success requires comfort in a startup environment, strong customer focus, meticulous attention to detail, cost awareness, clear communication with executive and engineering stakeholders, reliable follow-through, accountability, and a growth mindset. This is a contracted role. The stated salary range is $200,000 to $210,000 per year; offers may vary based on education, experience, and qualifications.

Requirements

At least 5 years of product management experience, including ownership of a data, cloud, or SaaS platform used by technical or research audiences.
Demonstrated end-to-end product roadmap ownership, from user and partner discovery through prioritization, delivery, and iteration.
Ability to make clear trade-off decisions under competing constraints.
Strong customer and partner orientation, including the ability to translate ambiguous feedback into clear problem statements and requirements and manage partner relationships day to day.
Experience overseeing production support or operations, ideally through a managed service or vendor team, including issue triage, priority setting, and holding teams to service levels.
Cloud cost fluency, including understanding platform spending drivers, monitoring spending against budget, and acting on anomalies.
Technical fluency sufficient to work credibly with engineering on cloud platforms, data access and security controls, and API or service design.
Excellent written and verbal communication skills, including concise executive briefings and providing engineering with sufficient detail and context.
Strong organizational discipline, including tracking commitments, following up, and closing loops across multiple stakeholders.
Bachelor’s degree in computer science, engineering, data science, bioinformatics, or a related technical field, or equivalent practical experience.

Nice To Haves

Advanced degree.
Experience in a regulated, research, healthcare, or scientific-data domain, where privacy, data governance, and partner trust are important product constraints.
Experience managing or supporting research data platforms, such as secure data environments, trusted research environments (TREs), data commons, or federated analysis systems.
Experience with managed service providers or vendor engineering teams, including SLA-based support models and ticketing tools such as ServiceNow, Jira Service Management, or Zendesk.
Experience with cloud cost management and FinOps practices, such as Azure Cost Management, budgeting, and spend alerting.
Experience measuring user satisfaction, such as Net Satisfaction, NPS, or CSAT, and using it to drive product decisions.
Experience with Agile delivery and product tooling, such as Azure DevOps, Jira, and product analytics or user-feedback tools.
Experience working in mission-driven organizations or with high-profile stakeholders.
Experience in life sciences, ideally neuroscience or Alzheimer’s disease and related dementias (ADRD).
Experience with Azure cloud platforms is preferred.

Responsibilities

Own the AD Workbench product roadmap end to end, including quarterly and monthly goal setting and sign-off.
Balance near-term user needs against long-term platform scalability and clinical validity.
Translate researcher and partner needs into a prioritized backlog and make trade-off decisions across engineering capacity, data governance requirements, and customer timelines.
Drive and track Net Satisfaction among existing and new users and partners, alongside adoption and platform health, to guide iteration.
Understand AD Workbench users’ pain points, clarify ambiguous requirements, and help close the gap between current platform capabilities and user needs.
Respond promptly to user questions and issues, resolve what can be resolved, and escalate unresolved matters early and clearly.
Represent the user’s perspective in backlog prioritization, roadmap reviews, and other product decisions.
Serve as the day-to-day owner of the AD Workbench partner relationship.
Oversee day-to-day platform support by reviewing the incoming queue daily and ensuring issues are understood and not left unattended.
Partner with the AMS team handling day-to-day support, providing context for requests and ensuring priorities reflect user needs.
Understand platform operating costs and their drivers, keep spending within budget, monitor for unexpected spikes, and raise them promptly.
Keep leadership informed about platform health, risks, and upcoming decisions through clear, concise updates.
Act as the primary internal communications contact for AD Workbench, tracking open items and following up through resolution.
Work closely with engineering to keep AD Workbench stable as it evolves and provide additional requirements detail and context when needed.