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Full-Time

Backend Engineer

Posted on 7/30/2024

Sprig

Sprig

51-200 employees

Product experience insights platform for companies

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$140k - $170kAnnually

+ Equity

Mid

San Francisco, CA, USA

Requires onsite presence in San Francisco for two to three days per week.

Category
Backend Engineering
Software Engineering
Required Skills
gRPC
Kubernetes
Node.js
Apache Kafka
Postgres
Go
Redis
REST APIs
Requirements
  • 2+ years of software engineer experience with focus on platform, backend system, data infrastructure, or distributed computing
  • Experience with technologies like Redis, Kubernetes, Postgres, ClickHouse, Kafka, gRPC, REST, WebSocket, and S3
  • Write high-quality production code using Node.js or Golang
  • Excellent written and verbal communication skills
  • Quick learner and good team player
  • Experience with low latency high volume data stores and platforms is a plus
Responsibilities
  • Enabling customer insights via implementing and optimizing features for event-based targeting systems
  • Collaborating with product managers, AI engineers, and product engineers to integrate backend systems with other platform components
  • Staying updated on latest technologies and integrating them into systems for cutting-edge product research solutions
  • Managing and maintaining databases to ensure data integrity and security
  • Designing and developing robust backend systems to enhance platform scalability and performance

Sprig provides a platform for product experience insights that helps companies improve their products by gathering user feedback quickly and effectively. The platform collects both quantitative and qualitative data, allowing teams to make informed decisions based on user behavior and preferences. Sprig operates on a subscription basis, offering a suite of tools that includes user journey analysis and feedback capture on designs and prototypes. One of its key features is the integration with other popular tools, which facilitates the sharing of insights across teams. Additionally, Sprig uses AI to summarize behavior data and highlight important product learnings, enabling teams to act swiftly. The goal of Sprig is to empower companies to enhance their products and customer experiences through actionable insights.

Company Stage

Series B

Total Funding

$118M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

10%

2 year growth

-30%
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Simplify's Take

What believers are saying

  • The recent $30M funding round provides Sprig with significant capital to expand its features and market reach, indicating strong investor confidence.
  • Sprig's SaaS model ensures a steady revenue stream, allowing for continuous improvement and customer support.
  • The platform's ability to rapidly gather and analyze user feedback can lead to quicker product iterations and higher customer satisfaction.

What critics are saying

  • The competitive landscape for product experience platforms is crowded, requiring Sprig to continuously innovate to maintain its edge.
  • Reliance on seamless integration means any disruptions or compatibility issues with other tools could significantly impact user experience.

What makes Sprig unique

  • Sprig's platform uniquely combines both quantitative and qualitative data collection, offering a more comprehensive view of user experience compared to competitors who may focus on one or the other.
  • The seamless integration with other popular tools and applications allows for a more streamlined workflow, setting Sprig apart from less compatible solutions.
  • Sprig's AI-driven insights automatically summarize behavior data and highlight key learnings, providing a faster route to actionable insights than traditional methods.

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