Senior Product Manager

Published: 6/14/2022

Job Description

The Product Manager is CheckedUp's first dedicated product leader. This role owns the product roadmap across our point-of-care network, from the in-office experience for providers and patients to the data and advertising products our advertisers rely on. The Product Manager turns strategy into clear requirements for our internal engineering team and development partners, sets a success metric for every product, and makes sure what we build gets launched and adopted. The role also owns the data behind the numbers we report to advertisers, from device logs through Snowflake to campaign reports, and treats accreditation and audit requirements as part of the product, not overhead.

Product strategy and roadmap

Own the product roadmap across our full product portfolio.

Bring every roadmap product to an approve-or-defer decision with defined scope, committed dates and budget, and keep the roadmap current as priorities change.

Prioritize new features against engineering capacity, platform modernization and technical debt, working with the VP of Engineering.

Settle open product questions with leadership, such as how products are packaged, combined or retired.

Present the roadmap, progress and trade-offs to the executive team and the board.

Requirements and delivery

Write precise product requirements, user stories and acceptance criteria for internal engineers and third-party development partners.

Accept delivered work against defined test criteria, and work with QA so new features ship with test coverage.

Run the product side of the delivery process in Jira: backlog grooming, sprint planning input, release reviews and release notes.

Track delivery against commitments and flag slips early, with options.

Launch and adoption

Close the gap between built and launched: plan each launch with Sales, Ad Operations, Provider Operations and Marketing, and launch within 30 days of completion.

Define an outcome metric for every active product (adoption, revenue or retention), set targets and report results.

Measure adoption of provider-facing tools and use the results to set priorities.

Customer and market input

Set up and run a regular feedback process with providers and practices, pharma brands and agencies, and internal teams.

Make sure every release has documented requirements backed by customer input.

Translate advertiser and ad operations needs into product and reporting requirements.

Partner with Provider Operations on device uptime, playback and the in-office experience.

Data, measurement and reporting

Own the roadmap for the data pipeline from device logs to campaign reports: ingestion, validation, editing and reporting in Snowflake, with Airflow and Sigma.

Define and document data-editing rules, such as how we handle invalid plays, device downtime, duplicate records, outliers and invalid traffic, with the rationale for each.

Set up data quality metrics and monitoring so issues are caught before they reach a client report.

Maintain data lineage for every accredited metric, from source to report.

Work with the data and analytics team to build a single source of truth for network, inventory, utilization and renewal metrics.

Define requirements for data and ad tech products.

Accreditation and compliance

Own the product and data controls behind our industry accreditation across data collection, data editing, reporting and related business processes, working with Compliance and Engineering.

Support annual audits: prepare evidence, help draft management responses and drive remediation of any findings in product and data processes.

Run product change management: assess every methodology or system change for accreditation impact and support required disclosures to the accrediting body.

Keep our methodology description, policies and procedures current and audit-ready.

Define the product and reporting requirements to extend accreditation to new ad formats and screens, including counting rules.

Build security, privacy and AI governance requirements into product specifications, in line with our AI Tool Policy and SOC 2 readiness work.

Growth and integration

Bring devices, content and data from new or acquired networks into our platform and accredited processes.

Identify and scope governed AI and machine learning use cases that improve our products and operations.

Product operations

Own the product KPI scorecard and report it monthly to the executive team.

Build the product function from scratch: product briefs, roadmap and requirements templates, release notes and documentation.

Help shape future product hires as the function grows.

Qualifications

5+ years of product management, with at least 3 years on data products, ad measurement, ad tech or media platforms.

A track record of owning a multi-product roadmap from strategy through launch, with measurable outcomes.

A track record of writing precise requirements for engineers, including external or contract development teams, using Jira or similar tools.

Hands-on experience with Snowflake or a similar cloud data warehouse, and enough SQL to investigate data issues yourself.

Experience with BI and reporting tools such as Sigma, Tableau or Looker.

Experience working within an audit or compliance framework, such as media measurement accreditation, SOC 2 or similar controls-based audits.

Experience with B2B products that serve both business customers, such as advertisers and agencies, and end users, such as providers and practice staff.

Strong written and verbal communication, including presenting roadmaps and metrics to executives and boards.

Comfort building process from scratch in a small company, as the first person in a role.

Preferred Qualifications

Direct experience with media measurement accreditation audits.

Measurement experience in out-of-home, digital out-of-home, CTV or point-of-care media.

Programmatic advertising experience, including DSP and SSP integrations and VAST.

Familiarity with healthcare or pharma marketing, and with healthcare privacy requirements such as HIPAA.

Understanding of invalid traffic and fraud detection concepts.

Experience with dbt, Airflow or data observability tools.

Experience with device or connected-TV products, such as webOS or Android apps, and content management systems.

Experience with Salesforce as a source of customer and account data.

Experience shipping AI or machine learning features under a governance policy.

Experience integrating acquired businesses or networks onto a common platform.