Product Engineering Manager, Commercial Pharma US Targeting, Recommendation, Optimization and Measurement
Quick summary
- Work type
- On-site
- Location
- South San Francisco, CA
- Salary
- $149,700–$278,100 / yr
- Employment
- Full-time
- Posted
- 126 days ago
- Freshness
- Confirmed live today
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 57% of similar roles. Most pay $171,500–$244,300 — the blue band above. At the midpoint, this role pays about $214k versus about $208k for comparable roles.
Based on 240 similar postings.
Employer
About Genentech
Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.
Genentech currently has 36 open roles on FindRole.
Listed pay typically runs $146,000–$271,100 across 18 roles with salary data.
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At a glance
TL;DR · Product Engineering Manager, Commercial Pharma US Targeting, Recommendation, Optimization and Measurement
As the Product Engineering Manager - Commercial Pharma US Targeting, Recommendation, Optimization and Measurement, you will lead a team within Roche Digital Technology to architect scalable digital solutions for commercial pharma functions. You will partner with business product owners to translate roadmaps into technical plans for segmenting healthcare professionals, geospatial analysis, next best action recommendations, and attribution modeling. Your daily responsibilities include defining architectural roadmaps, mentoring team members, managing budgets, and overseeing end-to-end delivery performance. You must utilize skills in deploying BI solutions, modern visualization tools, and ML/AI toolsets to solve complex problems like what-if simulations and measurable ROI. This role requires a servant leader who can navigate ambiguity to drive process re-engineering and foster a high-performing engineering culture within a regulated healthcare environment.
What you'll do
- Define the architectural roadmap and select digital technologies for enterprise-level customer engagement.
- Ensure engineering output meets specific ROI and adoption targets.
- Translate business roadmaps into high-fidelity technical plans for segmentation, simulations, and attribution modeling.
- Mentor team members on long-term career paths and build a future-focused talent portfolio.
- Oversee end-to-end delivery performance and resolve systemic, cross-functional roadblocks.
- Drive process re-engineering to boost engineering efficiency.
- Manage the team budget including headcount, vendors, and operational costs.
- Strategically allocate resources across the portfolio to maximize business impact.
What we're looking for
- Bachelor’s degree in Engineering, Science, or Business.
- Master’s degree (preferred).
- 5+ years in people leadership or program management.
- 2+ years in Pharma/Biotech or regulated healthcare.
- Proven track record in deploying BI solutions, modern visualization tools, and ML/AI toolsets.
- Servant leadership skills with an enterprise mindset and ability to navigate ambiguity.
- Strong business acumen and a lean/agile mindset.
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