Massachusetts Green Jobs

MassHire JobQuest Logo

Job Information

Salesforce.com, Inc Senior Manager, Enablement Data Science in Boston, Massachusetts

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Products and Technology

Job Details

The Global Sales Intelligence team at Salesforce is looking for a Senior Manager to develop tools and technologies to help our Sales Enablement team achieve extraordinary value. We are looking for someone to join our team to work on groundbreaking R&D projects, to leverage massive structured, unstructured, transactional and real-time data sets from a variety of sources, to analyze usage and behavior patterns. We aim to provide actionable recommendations to enable our sales teams to increase their productivity, remove obstacles and reduce their time spend on on-sales activities.

The ideal candidate will hire and lead a team of world-class data scientists and machine learning engineers, working closely with the Global Enablement team to develop methods in causal inference and state-of-the-art recommendation systems. The resulting product will define the next generation of personalized productivity tools and will be essential in lifting key sales performance indicators.

If you are an experienced leader who can hit the ground running and use data to influence decision-making across the organization, is willing to roll their sleeves up and do the hard work, and is extremely creative, collaborative, innovative – yet disciplined, methodical and down to earth – we want to hear from you.

Work with us as we develop and apply state-of-the-art big-data techniques, where your work will directly impact the success of Sales operations across Salesforce.

In detail you will:

  • Define the strategic vision and concrete roadmap to transform the enablement and programs to be relevant, actionable, measurable, and predictable.

  • Lead a high-achieving, innovative, fast-paced team of data scientists and machine learning engineers that partner with cross-functional teams to understand the business problems and requirements, gather information, collect data, apply statistical or machine learning models to identify enablement courses, materials, Trailhead courses, training, and other factors influencing sales productivity, and develop actionable recommendations.

  • Build strong collaboration and connective tissue with cross-functional partners to establish the roadmap for the team, prioritize the most impactful work, and guide the team in solving ambiguous and complex problems.

  • Be a role model and professional coach for data scientists and machine learning engineers. Help them realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges (within and outside their team) to stretch their skills. Develop a long-term roadmap for your team and participate in developing long-term roadmap for the broader teams.

  • Lead the team to deliver strong business results and technology solutions by researching and building cutting edge, leverageable methodologies using causal inference, uplift modeling, experimentation, recommendation systems, applied machine learning and explainability.

  • Be an industry thought leader, publish papers/patents/articles/whitepapers in respected journals/websites and represent Salesforce in relevant industry forums

In order to solve these challenges, you should be able to leverage off-the-shelf or open-source technologies as well as in-house engineering, and feel comfortable with big data solutions, applications and infrastructure:

Required Experience and Skills:

  • Advanced degree in stats, math, CS or another relevant field.

  • 8+ years of industrial experience in independently designing, implementing, and executing the data science projects and roadmap.

  • 3+ years experience in managing Data Science teams. Strong leadership with track records in building high performing Data Science and Data Engineering teams, driving projects, applying strategic thinking, building thought leadership, and influencing senior leaders and executives.

  • Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction.

  • Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives

  • Excellent presentation skills, and strong influencing and negotiation skills

  • 5+ years of industrial machine learning / statistical analytics experience including recommendation system, A/B testing, experiment design, causal inference, or quasi-experimental methods.

  • 5+ Experience with production engineering systems with SQL and python.

  • Comfortable working in a dynamic, research-oriented group with several ongoing concurrent projects

  • 3+ year of machine learning product development experience is a plus

  • Experience in collaborating with remote teams is a plus

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form (https://careers.mail.salesforce.com/accommodations-request-form) .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com (http://salesfore.com/) or Salesforce.org .

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world.

Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in the World” and one of the “100 Best Companies to Work For” eleven years in a row, and named “Innovator of the Decade” and one of the “World’s Most Innovative Companies” eight years in a row by Forbes.

There are those who choose to work with the best and brightest. And then, there are those who want to do more than just a job. They are the ones improving lives, not only their careers. Having an impact now instead of later. Doing something that’s so much bigger than themselves, an industry, and their company.

We believe everyone can be a Trailblazer. Join Salesforce and discover a future of new opportunities.

DirectEmployers