United States, Washington, Marketer jobs
Boston Scientific Principal Franchise Strategy Marketer United States, Minnesota
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About the role:As an Anaplan Model Builder, you will partner with stakeholders to design and build innovative Sales Performance Management (SPM) solutions customized to meet business needs. This role will lead implementations, coach stakeholders on best practices, and ensure long-term scalability of Anaplan solutions. The ideal candidate will balance competing priorities, including model building, leading new initiatives, and supporting updates or issue resolution in existing models.
Your responsibilities will include:
- Partner closely with divisional compensation teams and the Sales Compensation team to build and optimize Anaplan solutions that support business needs.
- Support existing Anaplan models by enhancing functionality, adding new capabilities, and providing timely error resolution.
- Contribute to the long-term Anaplan roadmap for Boston Scientific, extending connected planning capabilities across Sales Incentive Compensation, Quota Setting, Territory Management/Optimization, Headcount Planning, and Compensation Modeling.
- Collaborate with IT, business applications, and business units to streamline data flows and identify opportunities for automation and efficiency.
- Enhance reporting and analytics capabilities to deliver deeper insights from existing models.
- Identify opportunities for business process improvements and establish effective, efficient practices.
- Provide training and share Anaplan Model Building best practices with divisional compensation analysts to ensure the tool is leveraged to its full potential.
- Communicate task status clearly and manage project timelines and action items effectively.
Qualifications:
Required qualifications:
- Bachelor’s degree.
- Minimum of 3 years' experience in Sales Operations, Finance, or a closely related function.
- Minimum of 3 years' experience with Anaplan Model Building; Level 2 or higher certification highly preferred.
- Experience with sales compensation and commissions processes preferred.
- Ability to quickly learn new technology and deliver meaningful results.
- Strong math skills and business acumen with a logic-based approach to solving complex problems.
- Expert-level Excel skills.
- Excellent strategic thinking capabilities with the ability to synthesize large amounts of information and logically structure deliverables.
- Experience with reporting visualization tools (e.g., Tableau) preferred.
- Experience working with sales compensation solutions such as Anaplan.
- Familiarity with MS Access, Salesforce, SQL, and other programming tools preferred.
Preferred qualifications:
- Experience with data integration tools (e.g., Informatica, MuleSoft, Boomi).
- Experience with data warehouses and intermediate data lakes (e.g., Snowflake, Databricks, Google BigQuery, S3).
- Curious mindset with a strong interest in data accuracy.
- Can-do attitude with attention to detail, precision, and continuous learning.
- Excellent interpersonal and communication skills to collaborate effectively across levels of the organization.
- Strong organizational skills and the ability to manage confidential work with discretion.
- Ability to work independently and collaboratively in a fast-paced, matrix environment, prioritize tasks, and meet tight deadlines.
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
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Palo Alto Growth Marketer SMB United States, California
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
- Paid Media: Drive the Global Media Brief by synthesizing strategic goals and integrating essential input from Regional Campaigns Teams. Own the complete SMB campaign Bill of Materials (BOM) and delivery of high-performing assets to the Paid Media Team. Consult with Paid Media on performance trends to inform future campaign strategy and asset refinement.
- Email Marketing & Nurturing: Own the end-to-end execution of email marketing campaigns, from building targeted lists and writing compelling copy to deploying campaigns and analyzing performance. Design and implement automated nurture streams that guide prospects through the buyer's journey and convert them into sales-ready leads.
- Target Account Acquisition: Take ownership of our acquisition strategy for a defined target account list (TAL). You will orchestrate multi-channel touches across paid media, email, and web to create engagement within our most valuable SMB accounts.
- SEO Execution: Collaborate with our content and web teams to execute our SEO strategy. This includes contributing to keyword research, optimizing landing pages, and monitoring organic search performance to increase visibility and attract high-intent traffic.
- Data Analysis & Reporting: Live in the data. Monitor, analyze, and report on campaign performance, pipeline contribution, and key growth metrics. Use insights from Google Analytics, Salesforce, and our marketing automation platform to inform strategy and drive continuous improvement.
- Cross-Functional Leadership: Liaise with Product Marketing, Operations, Demand Generation, Web/Dev, and paid media teams to build cohesive strategies, increase ROI, and ensure seamless campaign execution.
- Competitive & Market Intelligence : Proactively monitor the competitive landscape and digital technology developments, providing actionable insights and creative ideas to help us stand out and stay ahead.
Your Experience
- B2C marketing experience required
- Bachelor's degree in Marketing, Business, or a related field.
- 10+ years of hands-on experience in SMB growth or digital marketing role
- Proven expertise in managing performance-based paid advertising campaigns with platforms like Google Ads and LinkedIn Ads.
- Excellent communicator with proven ability to project manage multiple projects at once and keep the team informed of status.
- Self starter with a positive attitude who can prioritize workload in a strict deadline-oriented, environment, with excellent time management skills.
- Attention to detail, while maintaining an eye on the big picture.
- Exceptional analytical skills, with a track record of using data to make strategic decisions and achieve measurable results.
- A self-starter mentality with a passion for experimentation, learning, and tackling new challenges. Ability to thrive in fast-paced environment with competing priorities and last minute changes.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $165,000 - $207,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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Amazon Applied Science Internship - United States United States, California, San Francisco
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NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.
Preferred Qualifications
- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.
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Amazon Applied Science Internship - United States United States, California, San Francisco
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Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Amazon Fall Applied Science Internship - United States United States, Washington, Seattle
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Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Amazon Applied Science Internship - United States United States, Washington, Seattle
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A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
- Are enrolled in a Master's degree
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
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Amazon Fall Applied Science Internship - United States United States, California, San Francisco
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Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025.Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
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About the role:As an Anaplan Model Builder, you will partner with stakeholders to design and build innovative Sales Performance Management (SPM) solutions customized to meet business needs. This role will lead implementations, coach stakeholders on best practices, and ensure long-term scalability of Anaplan solutions. The ideal candidate will balance competing priorities, including model building, leading new initiatives, and supporting updates or issue resolution in existing models.
Your responsibilities will include:
- Partner closely with divisional compensation teams and the Sales Compensation team to build and optimize Anaplan solutions that support business needs.
- Support existing Anaplan models by enhancing functionality, adding new capabilities, and providing timely error resolution.
- Contribute to the long-term Anaplan roadmap for Boston Scientific, extending connected planning capabilities across Sales Incentive Compensation, Quota Setting, Territory Management/Optimization, Headcount Planning, and Compensation Modeling.
- Collaborate with IT, business applications, and business units to streamline data flows and identify opportunities for automation and efficiency.
- Enhance reporting and analytics capabilities to deliver deeper insights from existing models.
- Identify opportunities for business process improvements and establish effective, efficient practices.
- Provide training and share Anaplan Model Building best practices with divisional compensation analysts to ensure the tool is leveraged to its full potential.
- Communicate task status clearly and manage project timelines and action items effectively.
Qualifications:
Required qualifications:
- Bachelor’s degree.
- Minimum of 3 years' experience in Sales Operations, Finance, or a closely related function.
- Minimum of 3 years' experience with Anaplan Model Building; Level 2 or higher certification highly preferred.
- Experience with sales compensation and commissions processes preferred.
- Ability to quickly learn new technology and deliver meaningful results.
- Strong math skills and business acumen with a logic-based approach to solving complex problems.
- Expert-level Excel skills.
- Excellent strategic thinking capabilities with the ability to synthesize large amounts of information and logically structure deliverables.
- Experience with reporting visualization tools (e.g., Tableau) preferred.
- Experience working with sales compensation solutions such as Anaplan.
- Familiarity with MS Access, Salesforce, SQL, and other programming tools preferred.
Preferred qualifications:
- Experience with data integration tools (e.g., Informatica, MuleSoft, Boomi).
- Experience with data warehouses and intermediate data lakes (e.g., Snowflake, Databricks, Google BigQuery, S3).
- Curious mindset with a strong interest in data accuracy.
- Can-do attitude with attention to detail, precision, and continuous learning.
- Excellent interpersonal and communication skills to collaborate effectively across levels of the organization.
- Strong organizational skills and the ability to manage confidential work with discretion.
- Ability to work independently and collaboratively in a fast-paced, matrix environment, prioritize tasks, and meet tight deadlines.
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
These jobs might be a good fit
