Vice President of Sales Engineering

Job Locations US-VA-McLean | US-CA-San Diego
Position Type
Regular Full-Time
Clearance Level

Overview is seeking a Vice President of Sales Engineering to manage the team that performs our early customer technical engagements. This person will be responsible for ensuring we can demonstrate our technological differentiation to prospects and customers, develop prototypes applying our capabilities to business problems, support capture efforts, and collaborate with the product team and the broader company to evolve our technology vision and execution. The successful candidate will have a proactive “let’s figure it out” attitude, experience developing software which applies data science to understand and solve problems, the ability to engage with clients and translate complex technical concepts into understandable functional impacts, and a proven history of managing high-energy and successful sales engineering teams.

The Vice President of Sales Engineering will have broad exposure to multiple programs and projects across coupled with the ability to directly influence design and implementation. They will champion the application of our machine learning, predictive/prescriptive analytics, and data collections to solve critical business problems, and be the face of our company ensuring that world sees that “the BigBear way” is consistent, pushes the envelope of what is possible, and differentiated. You will manage the education of our clients and staff to help them understand what we can achieve and solving the hardest problems / shepherding the process of getting projects started. Our Vice President of Sales Engineering will stay connected to emerging methods and technologies and support related experimentation and adoption, driving the future evolution of

This is an ideal opportunity to be part of one the fastest growing AI/ML companies in the industry. At, we're in this business together. We own it, we make it thrive, and we enjoy the challenges of our work. We know that our employees play the largest role in our continual success. That is why we foster an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance. We give the same high level of commitment to our employees that we give to our clients. If sounds like the place where you want to be, we'd enjoy speaking with you.

What you will do

  • Support increasing revenue from product and solutions sales by managing a team to:
    • Engage with prospects to design and then prototype applications of BigBear products for machine learning based predictive and prescriptive analytics
    • Host client meetings and describe and demonstrate BigBear products and market/technological differentiation, discover and understand customer businesses and needs, and shape and scope customer projects which leverage BigBear products and solutions
    • Support solution development, prototyping, and writing of technical proposals
    • Act as a visionary trusted customer liaison and “product manager” in our most complicated accounts, engaging with mission owners/operators to discover applications for ML, set project expectations, define requirements, and review results
    • Provide ongoing advice to projects around technical solutions, best practices, and efficiencies
    • Maintain awareness of the latest data science methods and technologies and proactively support the adoption of truly beneficial new capabilities
    • Work with product development teams to ensure customer functional requirements are fully considered, best practices and differentiated learnings are shared, and a single identity is supported.
    • This position can be located at our offices in McClean, VA., San Diego, CA., or possibly remote.

What you need to have

  • Minimum of 12 years in product Sales Engineering related roles
  • Minimum of 8 years of involvement in the design, development, and deployment of data-driven analytics software solutions, where individual coding contributions were broadly applicable to success
  • Minimum of 5 years managing technical teams involved in analytics software development
  • Experience engaging with senior-level executives, business analysts, and technical subject matter experts in support of data science or analytics efforts
  • Ability to describe the data assumptions and processing steps of common machine learning methods, and which methods are appropriate for a variety of use cases
  • Familiarity and ability to develop - or quickly ramp up to develop - with the following:
    • ML Libraries such as Scikit-learn, Pandas, Numpy, PySpark, MXNet, MLib, Weka, Spacy, and FastText
    • ML Platforms such as KNIME, Spark, SageMaker, H2O, and TensorFlow
    • Java, Python, and SQL including related ecosystems and frameworks, like Eclipse, Jupyter Notebooks, Spring, and Djanjo
    • Distributed platforms (i.e. HBase, PrestoDB, Athena, Spark, Kafka) and the cloud (i.e. AWS, GCP, Azure)
    • Performing dimensionality reduction, especially through encoders
    • Selecting features appropriate to a target using bottom-up approaches at scale, like Boruta
    • Automating the assessment of model validity to drive hyper-parameter tuning
    • Transforming data to create stationary inputs, especially when facing heteroskedasticity, periodicity, and trends
    • JavaScript frameworks, particularly Angular, jQuery, ReactJS, NodeJS, and MaterialUI
    • Interfacing with RESTful and GraphQL APIs
    • Incorporating, configuring, and customizing charting, mapping, and other visualization capabilities like D3JS, Leaflet, and Plotly
    • Extract-transform-load (ETL) data pipelines, especially using KNIME, Informatica, Talend, CloverDX, Apache NiFi, or other frameworks
    • Dimensional data models and noSQL/graph databases
    • Experience with distributed stream/message processing, especially using Kafka, Spark, or other distributed platforms
  • Experience visualizing data aggregations to answer specific questions, especially via a dashboard which allows self-service data filtering and exploration (like Qlik, Tableau, QuickSite, or PowerBI)
  • Able to match customer requirements to appropriate technologies and approaches, describe the pros and cons of each option, and provide optimal recommendations
  • Able to communicate complex technical concepts to external business and technical audiences, and write at a level appropriate for a senior executive
  • Strong problem-solving skills
  • Able to work independently and self-identify tasks

What we'd like you to have

  • Ability to obtain and maintain a TS/SCI clearance, especially having an active TS clearance with SCI eligibility
  • Degree in a technical field
  • Familiarity with time series forecasting and survival modeling
  • Machine Learning specialist certification from AWS, Google Cloud, or Microsoft Azure
  • Experience with distributed databases (like CockroachDB, Impala, Drill, GreenPlum, or Spark SQL), graph databases (especially Neo4j and Neptune), noSQL query engines (especially ElasticSearch, MongoDB, and DynamoDB), streaming/timeseries databases (like InfluxDB), and schema-at-query engines (especially PrestoDB)
  • Experience deploying data and processing in commercial clouds, especially AWS, Google Cloud, and Microsoft Azure

About is a new leader in decision dominance serving the national defense and intelligence communities. The Company delivers high-end capabilities across the data and digital spectrum to deliver information superiority and decision support. provides a comprehensive suite of solutions including artificial intelligence and machine learning, data science, advanced analytics, offensive and defensive cyber, data management, cloud solutions, digital engineering, and systems integration.’s customers, including the U.S. Intelligence Community, Department of Defense, and U.S. Federal Government, rely on its advanced technology solutions to analyze information, manage risk, and solve complex problems, leading to better decision making. Headquartered in Columbia, Maryland, has additional locations in Virginia, Massachusetts, and California. is an Equal Opportunity/Veterans/Disabled Employer. 


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