LeanData

Machine Learning Engineer

Santa Clara, California, United States

$135,000 – $200,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

Candidates should possess a strong ability to experiment with and explore diverse AI/ML libraries and tools, 3+ years of experience in machine learning with hands-on experience building and deploying ML models, comfort working with Python or similar programming languages for data analysis and model development, and an ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights. A Master’s degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence) is required, along with a desire to learn and experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.

Responsibilities

The Machine Learning Engineer will research, prototype, and experiment with various AI/ML libraries and tools to identify the best approaches for analyzing go-to-market data, analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies, collaborate with product and engineering teams to design, develop, and deploy a scalable AI-powered product that delivers insights into go-to-market strategies and their impact on success, build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability, and stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product.

Skills

Machine Learning
Python
Data Analysis
Model Deployment
Data Pipelines
AI Libraries
ML Frameworks
Cross-Functional Collaboration

LeanData

Automates lead routing for Salesforce users

About LeanData

LeanData automates go-to-market operations to enhance productivity within Salesforce by optimizing lead routing processes. This involves directing potential customer information to the appropriate sales or marketing teams, allowing businesses to follow up on leads more quickly and effectively. LeanData's software solutions enable clients to visualize and adapt their lead management workflows based on data-driven insights. The company's goal is to help sales, marketing, and revenue operations teams work more efficiently, ultimately driving increased revenue.

Sunnyvale, CaliforniaHeadquarters
2012Year Founded
$41.4MTotal Funding
SERIES_CCompany Stage
Consulting, Enterprise SoftwareIndustries
201-500Employees

Benefits

Employee insurance covered up to 90%
Stock options for all full-time employees
Flexible vacation program
401k plan

Risks

Emerging startups offer cheaper lead routing solutions, threatening LeanData's market share.
Salesforce's native lead routing features could reduce LeanData's demand.
Economic downturns may lead to reduced spending on LeanData's solutions.

Differentiation

LeanData excels in Lead-to-Account Matching and Routing solutions.
The platform integrates seamlessly with Salesforce, enhancing CRM capabilities.
LeanData offers a unified approach to sales and marketing operations.

Upsides

Rising demand for AI-driven lead scoring boosts LeanData's market potential.
Remote work trends increase the need for LeanData's cloud-based solutions.
Emphasis on data privacy aligns with LeanData's secure data management features.

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