Agilent Technologies
Cell and Molecular Research Account Manager
US-MN-Remote Location · Full-time
Sponsorship not specified$110k-$184kDetected 5 days ago
AccessibilityNegotiationFlow CytometryResearchCommunication
About the role
- Job Description Help scientists change the world.
- Engage directly with scientists and lab leaders to understand their research goals and challenges.
Responsibilities
- Lead the entire sales process-from prospecting and opportunity development to negotiation and close.
- Collaborate with Product Specialists and Field Application Scientists to deliver impactful solutions.
- Drive growth across Agilent's portfolio of instruments, consumables, software, and services.
- A hunter's mindset with the ability to build long-term relationships.
Requirements
- 1+ years relevant experience in sales, laboratory, or scientific application environments.
- Knowledge of CMR-relevant applications, including microplate-based solutions, imaging, electrophoresis and flow cytometry will be helpful
- Willingness and ability to travel up to 50%, including overnight travel.
- Travel Required:
- Additional Details
- This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least July 24, 2026 or until the job is no longer posted. It is sales incentive eligible. In the US, this position is eligible for choice of company car or reimbursement for personal vehicle usage.
- The full-time equivalent pay range for this position is $110,250.00 - $183,750.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations
- Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.
- 50% of the Time
- Duration:
- No End Date
- Job Function:
Nice to have
- Bachelor's or Master's Degree or equivalent (Chemistry or Life Science degree preferred).
Skills
- Help scientists change the world.
- Build a career without limits.
- Agilent is seeking a driven, customer-focused sales professional to grow our Cell & Molecular Research business across a defined territory.
Compensation
- The full-time equivalent pay range for this position is $110,250.00 - $183,750.00/yr plus eligibility for bonus, stock and benefits.
Benefits
- Paul are preferred to support effective territory coverage and customer engagement.
Company info
- Passion for science and helping customers succeed.
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This listing is sourced directly from Agilent Technologies's careers page and normalized into a canonical job model.