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Sr. Technical Product Manager, eCommerce Search

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: McKesson’s Corporate
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Technical Product Manager, eCommerce Search Experience
## Sr. Technical Product Manager, eCommerce Search Experience Apply remote type:
Hybrid locations:
Irving, TX, USA - 6555 North State Highway 161 (P001):
Columbus, OH, USA - 910 John Street (CMM Main Campus) (C317):
USA, Remote:
Alpharetta, GA, USA - 1110 Sanctuary (C099) time type:
Full time posted on:
Posted Todayjob requisition :
JR0147909

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
*** This role offers location flexibility and is open to candidates across the United States.
****** Candidates based in the Dallas–Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in**‐
** office days may be designated based on team needs and business priorities.
****
* About the Role:

** The Sr. Technical Product Manager (TPM) for eCommerce Core will own the Search Experience across digital commerce journeys, enabling customers to quickly discover the right products through intuitive, relevant, and high-performing search. This role defines and delivers a roadmap that drives measurable improvements in findability, conversion, and customer efficiency.

The TPM partners closely with engineering, design, analytics, and business stakeholders to translate experience goals into actionable requirements, instrument key search metrics, and lead structured experimentation. By embedding A/B testing and data-driven iteration at the core of product development, this role continuously optimizes relevance, conversion, and business outcomes while de-risking decisions through validated insights.

Success in this role requires strong technical acumen (APIs, data models, integrations), analytical rigor, and the ability to influence cross-functional teams without direct authority—ensuring alignment with architectural standards, privacy/compliance expectations, and enterprise business goals.
** What You'll Do:
**** Product Ownership & Execution
*** Owns the end-to-end Search product (web/mobile), including vision, roadmap, and lifecycle execution—from discovery and definition through launch, iteration, and ongoing optimization.
* Defines and prioritizes search capabilities and outcomes (e.g., relevance, facets/filters, synonyms, ranking, and results UX), balancing customer value with technical feasibility and time-to-value.
* Leads search discovery and structured experimentation—partnering with UX, analytics, and engineering on research, prototyping, A/B tests, and pilots to validate hypotheses and scale what works.
* Translate customer, business, and platform needs into PRDs, epics, and user stories with clear relevance requirements, acceptance criteria, and analytics/telemetry instrumentation.
* Owns and prioritizes the search backlog in collaboration with engineering and design—making explicit trade-offs across relevance/UX, latency/performance, data quality, scalability, and operational health.
* Drives delivery excellence through agile execution, release/experiment cadence, and KPI-based outcome tracking; proactively manages risks (e.g., relevance regressions, latency, and data integrity) and communicates progress, dependencies, and decisions.
** Technical Collaboration
*** Work closely with engineering teams to ensure search solutions are feasible, scalable, and aligned with architectural standards (e.g., relevance logic, indexing strategy, and performance/latency targets).
* Work with engineering and testing teams to develop and apply A/B testing methodologies to validate best-in-class feature and functionality enhancement.
* Understand APIs,…
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