Compensation Overview

Introduction to Demandbase:

Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster. 

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also beencontinuously recognized as one of the best places to work in the San Francisco Bay Area.

We’re committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we’re increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

The compensation range for this role is $282,800 - $420,000.

What you’ll be doing:

• Lead and inspire a high-performing team of data scientists, orchestrating data science initiatives across our B2B go-to-market products.
• Cultivate a culture of innovation, devising strategies to amplify the reach and influence of data science across our offerings. Collaborate closely with product leadership to shape optimal models and solutions, integrating data science into all product roadmaps.
• Forge robust partnerships with business and technology leaders, strategically planning and executing data science applications within quarterly and annual product roadmaps. Establish and drive measurable success criteria for data science implementations.
• Promote the significance of data science enterprise-wide by articulating a compelling vision and the real-world applications of data-driven insights.
• As a player-coach, recruit and nurture talent by collaboratively developing data science solutions alongside your team. Simultaneously, provide mentorship, coaching, and empowerment to ensure their growth and achievements.
• Collaborate with data engineering teams to define requirements and construct the essential data infrastructure that facilitates efficient analytics development.

What we’re looking for:

• Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field.
• A profound mastery of Machine Learning models, with an extensive history of creating models from the ground up.
• Over a decade of hands-on experience in data science roles, demonstrating your deep understanding of the field.
• More than five years of people management experience, showcasing your ability to lead and motivate data science teams.
• A demonstrated record of tackling intricate, ambiguous data challenges at scale, highlighting your aptitude in quantitative modeling, including machine learning.
• Exceptional interpersonal and communication abilities, allowing you to convey technical concepts to executives and translate business objectives for technical audiences.
• Proficiency in statistical and modeling tools, complemented by adeptness with analytics and database software.
• Ideally, you are located in the San Francisco area or open to relocation.

Areas in which you’ll be evaluated:

• Business Acumen – Proven ability to apply data science capabilities to solve practical business problems. Experience with Marketing or Ad Tech data science is desirable.
• Product Sense - Understanding of a product planning process, ablity to influence product strategies and roadmaps, strong collaboration skills.
• Data Science Expertise – 10+ years of hands-on experience as a data scientist. Expert level knowledge in predictive analytics, machine learning, and data mining. Understands adjacent Big Data engineering technologies and environment. 
• Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure). Fluent in challenges like data access, data infrastructure, and maintenance. Has worked with data at scale and velocity.
• Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success. Proven ability to attract, hire, develop, and retain exceptional talent.
• Company Values – Team player (We Win Together). Customer focused (We Make Our Customers Successful). Honest and authentic (We Are Real). Dependable, gets stuff done (We Do What We Say We Will Do). Thoughtful and innovative (We Innovate With Intention). A dynamic forward thinking leader who will bring intensity and commitment to the business.

Benefits:

Our benefits include options for up to 100% paid Medical and Vision premiums for employees, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, and 11 paid holidays and 2 additional weeks where all Demandbase employees take off (the week of July 4th and the week of Thanksgiving). Plus 401(k), short-term/long-term disability, life insurance, and all those good things.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion require ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.