Full-Time

Technical Success Analyst

Confirmed live in the last 24 hours

People.ai

People.ai

201-500 employees

AI-driven CRM process automation solutions

Enterprise Software
AI & Machine Learning

Compensation Overview

$50k - $65kAnnually

+ Commission + Bonus + Equity

Junior, Mid

Remote in USA

Category
Data Analysis
Data & Analytics
Required Skills
Python
SQL
Postgres
Salesforce
Requirements
  • SQL - advanced fluency in table transformation, subqueries, joins and aggregations. Experience working in PostgreSQL databases is preferred.
  • Python - intermediate fluency with Python concepts including basic string manipulation, creating functions, for loops, and common errors.
  • Technical acumen (SQL required, experience ramping on multiple coding languages preferred)
  • Attention to detail and an ability to interpret ambiguous requests to drive Case resolution.
  • Experience supporting customers within the Salesforce ecosystem.
Responsibilities
  • Utilize SQL, SOQL, and other non-structured query languages to gather information for the purposes of investigation.
  • Enable engineering teams with thoroughly documented investigation steps and expected outcomes, thereby reducing the amount of engineering effort required for support issues.
  • Identify opportunities for improvement in internal support processes and own recommendations to improve handoffs end-to-end.
  • Act as the voice of the customer and help the engineering team understand the “why” behind a fix/feature and/or the urgency of delivery.
  • Maintain the first reply time of under two hours and help the team to drive down Full Resolution Time by 20%.
  • Create an incredible cultural foundation for Support Engineering. Build strong relationships with engineering, product, and customer success teams.

People.ai specializes in automating Customer Relationship Management (CRM) processes using artificial intelligence. Their technology helps businesses streamline routine tasks and gain valuable insights, making CRM systems a reliable source of information for sales and marketing teams. The company primarily serves clients in sectors like technology, finance, and healthcare, enabling them to enhance customer engagement and improve sales performance. People.ai operates on a subscription model, allowing businesses of all sizes to access their software and benefit from continuous updates and support. This approach not only generates steady revenue but also allows for ongoing development of their solutions, positioning People.ai as a flexible option in the AI-driven business solutions market.

Company Stage

Series D

Total Funding

$199.6M

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

-7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Being named to the Deloitte Technology Fast 500 list with 613% growth over two years highlights People.ai's rapid expansion and market acceptance.
  • Strategic partnerships, such as with Microsoft for AI-driven insights, enhance People.ai's credibility and market reach.
  • The appointment of industry veterans like Laura Palmer as Chief Revenue Officer signals strong leadership and potential for further growth.

What critics are saying

  • The competitive landscape of AI-driven CRM solutions is intense, with major players like Salesforce and HubSpot posing significant threats.
  • Rapid growth may strain People.ai's operational capabilities, potentially impacting customer satisfaction and retention.

What makes People.ai unique

  • People.ai leverages AI to automate CRM processes, providing a unique value proposition in making CRM systems the 'source of truth' for sales and marketing teams.
  • Their subscription-based model ensures a steady revenue stream, allowing continuous updates and support, unlike competitors who may rely on one-time sales.
  • The integration of SalesAI, a generative AI sales solution, sets People.ai apart by offering a holistic view of revenue-influencing factors through the analysis of multiple data sets.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Flexible Work Opportunities

Learning Budget

Healthcare Package

Diversity Groups

Unlimited Vacation