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Amgen

Senior Field Sales Intelligence Manager, Software Engineering

Amgen

Field Sales Intelligence Sr Manager at Amgen driving AI and analytics solutions for sales effectiveness. Leading product strategy and engineering intersecting sales and advanced analytics to serve patients.

Posted 5/12/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $135,442 - $183,244 per yearWebsite

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • Own the product strategy and roadmap for field intelligence capabilities aligned to business priorities, field outcomes, and AI-powered decision support.
  • Lead cross-functional delivery of field intelligence solutions across CRM, analytics, data, and AI-enabled platforms, while contributing hands-on to solution design, development, and implementation.
  • Translate business priorities into a clear, outcome-based backlog of features, user stories, and technical, UX, and AI requirements.
  • Partner with field leadership, sales operations, analytics, data science, engineering, and design teams to identify opportunities and deliver user-centered, scalable, and intelligent solutions.
  • Drive the design and delivery of dashboards, alerts, predictive signals, and decision-support tools, while advancing UI/UX through design thinking, workflow optimization, and intuitive experience design.
  • Collaborate with engineering and data teams to define data models, KPIs, integrations, and technical requirements, and support development of scalable software and AI-enabled capabilities.
  • Ensure solutions deliver measurable value through strong adoption, usability, compliance, and performance, including AI transparency, trust, and effectiveness.
  • Provide leadership across PI planning, backlog refinement, sprint execution, testing, release planning, and hands-on support throughout the software development lifecycle.
  • Drive AI-enabled capabilities such as predictive insights, intelligent recommendations, workflow automation, and guided user experiences.

Requirements

What you’ll need
  • Doctorate degree and 2 years of experience OR Master’s degree and 4 years of experience OR Bachelor’s degree and 6 years of experience OR Associate’s degree and 10 years of experience OR High school diploma / GED and 12 years of experience
  • Experience leading delivery of analytics-enabled, digital, or AI-driven products in a Product Owner or Product Manager capacity.
  • Strong understanding of field sales processes, CRM platforms, and field performance measurement.
  • Experience working in agile environments using SAFe methodologies.
  • Technical fluency across software engineering, data engineering, analytics, and data science.
  • Experience with Salesforce platforms, enterprise analytics tools, and cloud platforms such as AWS.
  • Hands-on experience contributing to software development, integrations, configuration, or enterprise application enhancements.
  • Experience with UI/UX, design thinking, and user-centered design for enterprise platforms.
  • Experience delivering AI-enabled capabilities such as predictive analytics, intelligent automation, or generative AI solutions.
  • Strong executive communication, collaboration, and stakeholder management skills across technical and business teams.

Benefits

Comp & perks
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
product strategyroadmap developmentsolution designdata modelingKPI definitionpredictive analyticsworkflow automationAI-enabled capabilitiesagile methodologiesSAFe
Soft Skills
leadershipcollaborationstakeholder managementcommunicationuser-centered designdesign thinkingworkflow optimizationcross-functional deliveryproblem-solvingadaptability