Full-Time

VP – Sales Strategy & Operations

Confirmed live in the last 24 hours

DataRobot

DataRobot

501-1,000 employees

AI platform for data analysis and processing

Data & Analytics
AI & Machine Learning

Senior, Expert

Boston, MA, USA + 1 more

More locations: San Francisco, CA, USA

Category
Inside Sales
Strategic Account Management
Sales & Account Management
Required Skills
Salesforce
Data Analysis
Requirements
  • Bachelor’s degree in Business, Finance, Marketing, or a related field; MBA or advanced degree preferred.
  • 10+ years of experience in sales strategy, sales operations, enablement, or a related role within the technology industry, with at least 5 years in a leadership position.
  • Proven track record of success in scaling and optimizing sales functions in high-growth SaaS or enterprise software environments.
  • Strong analytical and problem-solving skills, with expertise in sales forecasting, data analysis, and performance metrics.
  • A deep understanding of CRM systems (e.g., Salesforce) and sales tech stack, as well as proficiency in analytics tools and data visualization platforms, is a plus.
  • Exceptional leadership, communication, and cross-functional collaboration skills, with the ability to influence and drive alignment at all levels of the organization.
  • Strategic mindset with the ability to think both short-term and long-term and adapt quickly to changing business needs.
Responsibilities
  • Develop and implement a comprehensive sales strategy in collaboration with the CCO, focusing on go-to-market (GTM) effectiveness, market penetration, and revenue growth.
  • Lead annual sales planning processes, including territory design, quota setting, and incentive planning.
  • Align sales strategies with business objectives, market opportunities, and product roadmaps.
  • Oversee all sales operations functions, including forecasting, pipeline management, sales performance analytics, and CRM optimization.
  • Drive operational improvements in lead-to-revenue processes, ensuring efficiency and scalability to support growth.
  • Implement and manage sales tools, technology, and systems to enhance sales productivity and reporting accuracy.
  • Develop and execute an enablement strategy that equips internal and external stakeholders with the training, content, tools, and resources they need to succeed.
  • Collaborate with sales leaders and enablement teams to design onboarding and ongoing training programs that improve seller effectiveness, knowledge, and skill growth.
  • Design and execute Key Sales plays and campaigns across all different sales teams, ensuring effective execution and coordination to operate as an effective sales pod (i.e. field sales, BDRs, renewals, partners, etc.).
  • Design and execution of the annual Sales and Marketing kick-off event.
  • Implement and measure the success of enablement programs, focusing on driving performance metrics such as time-to-productivity, win rates, and customer satisfaction and retention.
  • Develop and maintain metrics, KPIs, and dashboards to monitor sales performance and provide actionable insights to sales leaders.
  • Conduct regular sales performance reviews and deep-dive analysis to identify areas for improvement, optimization, and course correction.
  • Lead the development of sales forecasts, revenue modeling, and pipeline analysis to drive data-backed decision-making.
  • Build, mentor, and lead a high-performing sales operations and strategy team, fostering a culture of collaboration, innovation, and continuous improvement.
  • Collaborate with sales enablement teams to drive training and development initiatives that improve seller effectiveness and skill growth.
  • Act as a strategic advisor to senior sales leadership, guiding them in executing data-driven decisions that align with business goals.
  • Partner with Product, Marketing, and Customer Success teams to ensure alignment on GTM strategy, customer engagement, and value delivery.
  • Collaborate with Finance to design and implement sales incentive and compensation structures that motivate high performance and align with company objectives.
  • Work with IT and data teams to improve the technology ecosystem and streamline the sales process.

DataRobot provides an artificial intelligence platform that simplifies and enhances data analysis and processing for various industries. The platform integrates data from multiple sources, applies Extract, Transform, Load (ETL) processes, and utilizes AI tools to help clients make informed decisions. For example, companies like FordDirect and OYAK Cement have used DataRobot to better understand their customers and optimize their operations, respectively. Unlike many competitors, DataRobot focuses on unifying these processes into a single platform, making it easier for clients to leverage their data effectively. The company's goal is to empower organizations to make data-driven decisions that improve their performance and efficiency.

Company Stage

N/A

Total Funding

$1B

Headquarters

Boston, Massachusetts

Founded

2012

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-4%

2 year growth

-14%
Simplify Jobs

Simplify's Take

What believers are saying

  • DataRobot's collaborations, such as with IMDA for Project Moonshot, expand accessibility and usability of AI tools, fostering innovation.
  • The launch of groundbreaking tools like AI Observability with real-time intervention for Generative AI highlights DataRobot's commitment to cutting-edge technology.
  • Being named a leader in the Gartner Magic Quadrant enhances the company's reputation, potentially attracting more clients and top talent.

What critics are saying

  • The competitive AI and data analytics market requires continuous innovation to maintain leadership, posing a risk if DataRobot fails to keep pace.
  • Integration challenges with partners like Teradata could lead to technical issues or delays, impacting client satisfaction.

What makes DataRobot unique

  • DataRobot's integration of ETL processes with AI tools offers a unified platform that simplifies data handling and analysis, unlike competitors who may offer these services separately.
  • The company's focus on advanced LLM evaluation and assessment metrics provides unique capabilities that set it apart from other AI platforms.
  • Recognition as a leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms underscores its industry leadership and credibility.

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