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Massive Bio, Inc.

Massive Bio, Inc.

via Jazzhr

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Technical Product Manager(AI-driven oncology platform)

Anywhere
full-time
Posted 9/17/2025
Direct Apply
Key Skills:
Product Management
AI/Data Product Delivery
Agile/Scrum
PRD and Technical Spec Writing
Enterprise System Integration
Stakeholder Management
Metrics Definition and Instrumentation
Cross-functional Team Leadership
Data Privacy and Compliance (HIPAA/GDPR)

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Own the roadmap and delivery of an AI-driven oncology platform by translating market needs into product strategy, leading discovery with pharma stakeholders, and partnering with engineering, data science, security, and commercial teams to ship impactful solutions.

Requirements

5+ years product management with technical depth, experience delivering AI/data products, enterprise system integration, Agile expertise, and ability to define outcome metrics; oncology domain knowledge and pharma experience are nice-to-have.

Full Description

About Massive Bio Massive Bio is a health-tech company on a mission to give every cancer patient access to the right therapy and clinical trials. We build AI-powered products that remove friction between trial discovery and treatment. About DUO DUO (Drug Utilization Optimizer) is an AI-driven oncology platform that helps pharmaceutical companies shorten the path from trial discovery to patient treatment by identifying the right physicians, at the right moment, with real-time, consented patient insights. DUO is being embedded as a “Launch Acceleration” standard across oncology portfolios. The Role We’re seeking a Technical Product Manager to own the roadmap and delivery of DUO. You’ll translate market needs into a technically sound product strategy, lead discovery with pharma stakeholders, and partner tightly with engineering, data science, security, and commercial teams to ship measurable impact. You’ll ensure DUO cleanly complements existing pharma RWD, CRM, and omnichannel stacks and scales from early engagements to portfolio-level deployments. What You’ll Do Product strategy & discovery Convert commercial use cases into clear product requirements, MVPs, and iterative releases that support DUO’s Trial to Launch Bridge and Launch Acceleration solutions. Partner leaders, Innovation, Market, Medical, Procurement, and Legal to validate problem statements and de-risk adoption paths in complex enterprise environments. Technical ownership Define end-to-end architecture requirements (event pipelines, consent services, identity graphs, model scoring services, APIs, observability). Write crisp PRDs and technical specs; maintain a groomed backlog; drive Agile rituals; remove blockers. Set and own product success metrics tied to DUO outcomes: time from physician alert to action, diagnostic testing rates, referral completion, etc. Data, AI & privacy Establish data contracts and quality SLAs; manage training/feedback datasets with strict consent lineage. Partner with Security/Compliance on HIPAA/GDPR-aligned consent management and PHI minimization. Delivery & commercialization support Lead beta/early access programs that prove value rapidly; craft roll-out and enablement plans that scale to multi-brand, portfolio-level deployments. Create the measurement framework and reporting that commercial teams can take to executive stakeholders (quantifying DUO’s impact on alerts, testing, referrals). Qualifications Must-have 5+ years in product management with strong technical depth (previous SWE/data experience ideal). Proven delivery of data/AI products. Experience integrating with enterprise systems (e.g., CRM, marketing automation, data platforms) Demonstrated ability to define and instrument outcome-level metrics (e.g., physician alerts, diagnostic testing, referrals, NBRx) and tie product work to commercial lift. Fluency in Agile/Scrum; strong PRD/spec writing and data skills Nice-to-have Understand how oncology drugs go to market and how biomarker testing fits in Comfortable working with RWD providers and CRM/omnichannel tools Have helped roll out new solutions inside big pharma Education Bachelor’s in Computer Science, Engineering, Data/AI, or related; MBA/MS is a plus.

This job posting was last updated on 9/24/2025

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