Technology Product Marketing Manager (PMM), Machine Learning Analytics

Employer
Capital One
Location
San Francisco, California, United States
Posted
Nov 15, 2022
Closes
Dec 15, 2022
Ref
R153441
Function
Finance
Hours
Full Time
201 Third Street (61049), United States of America, San Francisco, California

Technology Product Marketing Manager (PMM), Machine Learning Analytics

The Capital One Brand team is seeking a Technology Product Marketing Manager (PMM) to help communicate the capabilities and benefits of our Data Insights product to Data Scientists, Machine Learning Engineers, Software Developers, and Data Analysts.

Data Insights is a Capital One enterprise platform that enables Machine Learning libraries as a service. This allows teams to solve for business monitoring, model monitoring, forecasting and prediction using machine learning algorithms with a low-code platform. The machine learning technology detects anomalies in data in real-time, proactively signals critical trend changes, and conducts root cause analysis to identify the cause of these trends.

The Technology PMM will leverage their technical subject matter expertise to help articulate Data Insight's industry-leading technology capabilities - including underlying ML cloud infrastructure, data engineering, and patented models and algorithms - to a highly technical audience. They are champions of our products and define persona and messaging strategy across technology disciplines, from cloud infrastructure to AI/ML. They are experts in our customers and products, and use their expertise to influence our technology and marketing strategies.

What you'll do:
  • Be the subject matter expert on Data Insights; understand the technical ins and outs of how it works.
  • Own hands-on competitive intelligence for other tools and solutions in the market.
  • Partner with a cross-functional team of data scientists, software engineers, and product managers to develop messaging and content for our marketing and sales efforts.
  • Create demos, explainer videos, how-tos, and other technical content for our audience of data scientists, machine learning engineers, and analysts.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  • Develop insights based on product usage data, voice of customer, campaign effectiveness, and industry trends and translate those insights into actionable recommendations that promote business objectives and drive tangible results.


The Ideal Candidate Is:
  • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • Statistically-minded. You've built models, validated them, and back-tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.


Who you are:

You want to be an EVIDENCE-BASED MARKETER.
  • Your curiosity is endless. There's always something else to learn.
  • You're flexible and not afraid of change-in fact you welcome the challenge.
  • You share your point of view, but seek out what might be missing and listen.
  • You have big ideas and know the best ones are driven by proof, persistence and patience.
  • You're a storyteller. You simplify the complex and compel your audience to act.
  • You know how to enjoy yourself. While fun isn't mandatory, it certainly seems to follow you.
  • You care-about the work, your team and the customers you serve.


Basic Qualifications:
  • Bachelor's degree or military experience
  • At least 6 years of experience in a technology marketing role
  • At least 3years of experience in a product marketing role
  • At least 1 year of experience in open source programming languages for large scale data analysis
  • At least 1 year of experience with machine learning
  • At least 1 year of experience with relational databases


Preferred Qualifications:
  • At least 5 years of experience in a marketing role
  • At least 3 years of experience in a product marketing role
  • Experience marketing B2B enterprise technology products or services
  • Experience in highly cross-functional and matrixed teams
  • Master's Degree in Science, Technology, Engineering, or Mathematics
  • At least 3 years of experience in data analytics, or PhD in Science, Technology, Engineering, or Mathematics
  • At least 1 year of experience working with AWS
  • At least 3 years of experience in Python, Scala, or R
  • At least 3 years of experience with machine learning
  • At least 3 years of experience with SQL


At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Location is New York City

- $142,979 and $168,683 for Manager, Brand

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).