Outreach

About Outreach

The sales execution platform for modern businesses

🏢 Tech👥 1001+ employees📅 Founded 2014📍 Interbay, Seattle, WA💰 $527.3m2.9
B2BArtificial IntelligenceEnterpriseAnalyticsMachine LearningSaaSAutomationSales

Key Highlights

  • Headquartered in Interbay, Seattle, WA
  • Raised $527.3 million in Series F funding
  • Over 1,000 employees driving innovation
  • Achieved Unicorn status in 2020

Outreach is a leading sales execution platform headquartered in Interbay, Seattle, WA, that helps companies engage effectively with their customers throughout the sales lifecycle. With over 1,000 employees, Outreach has raised $527.3 million in funding across multiple rounds, achieving Unicorn statu...

🎁 Benefits

Outreach offers flexible work-from-home opportunities, comprehensive health insurance, dental and vision coverage, a 401(K) plan, generous parental le...

🌟 Culture

Outreach fosters a culture centered around leveraging AI to drive sales efficiency, with a strong emphasis on integrating technology seamlessly into t...

Outreach

Machine Learning Engineer Staff

OutreachHyderabad

Apply Now →

Overview

Outreach is seeking a Staff Machine Learning Engineer to leverage data for optimizing customer engagement workflows. You'll work with Python and machine learning techniques to develop metrics and tools. This role requires 7-10 years of experience.

Job Description

Who you are

You have 7-10 years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models that drive business outcomes. Your expertise in Python allows you to build robust data pipelines and implement algorithms that enhance customer engagement. You are familiar with natural language processing techniques and understand how to apply them to improve user interactions and insights. You thrive in collaborative environments, working closely with data scientists and application engineers to define strategies that optimize workflows. Your analytical mindset enables you to reconstruct customer engagement workflows from data, ensuring that metrics are effectively measuring success and efficiency.

Desirable

Experience with predictive analytics and causal inference is a plus, as it will help you contribute to the continuous optimization of our customer engagement strategies. Familiarity with AI technologies and their applications in sales processes will enhance your ability to drive impactful results. You are comfortable navigating complex datasets and can translate findings into actionable insights for cross-functional teams.

What you'll do

As a Staff Machine Learning Engineer at Outreach, you will play a pivotal role in leveraging data to enhance our AI Revenue Workflow Platform. You will collaborate with a team of data scientists and engineers to develop and implement machine learning models that automate workflows and improve sales strategies. Your work will involve defining metrics to measure the success of customer engagement workflows and providing tools that support their optimization. You will be responsible for analyzing customer data to identify trends and insights that inform product development and feature enhancements. Your contributions will directly impact how global organizations utilize our platform to drive revenue growth.

You will also engage in continuous learning and experimentation, exploring new ways to leverage data for deeper customer understanding. By reconstructing workflows from data, you will help the team develop innovative solutions that meet the evolving needs of our customers. Your role will require you to communicate findings effectively to stakeholders, ensuring that insights are actionable and aligned with business objectives.

What we offer

Outreach provides a dynamic work environment where data is at the core of our strategy. You will have the opportunity to work with leading organizations and contribute to the development of cutting-edge AI technologies. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Our culture encourages collaboration and innovation, allowing you to make a meaningful impact on our customers' success. Join us in transforming how sales teams engage with their customers through data-driven insights and automation.

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