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Full-Time

Software Engineer

Core Platform

Confirmed live in the last 24 hours

Pocus

Pocus

11-50 employees

Revenue data platform for GTM teams

Data & Analytics
Enterprise Software

Senior, Expert

Remote in USA

Category
Backend Engineering
Software Engineering
Requirements
  • Has 5+ years of experience building high scale distributed data systems in a cloud-native environment
  • Loves working in small teams with a strong bias for action
  • Is collaborative in a remote-first, async setting and is a strong communicator
  • Has a knack for problem-solving and thinking from first principles
  • Loves shipping early, learning from real world usage, and iterating
  • Holds a high bar for quality and simplicity and takes pride in their work
Responsibilities
  • Build a distributed data platform that is reliable, secure, and extensible: The data platform owned by this team forms the basis of everything that our app is built on. At a very high level, it includes: A data ingestion layer that supports data extraction from various warehouses, databases and CRMs, A transformation engine that enriches this data with computed traits and last-mile modeling abilities, A query engine that lets you filter and aggregate these transformed entities in milliseconds, A workflow system that lets you export and act on these results via 3rd party connections like Outreach, Slack etc. or via web-hooks. You will play a key role in making it feature-rich, stable, and scalable.
  • Have complete autonomy: Extreme autonomy and ownership is how we move so fast. At Pocus, you will have the opportunity to influence every aspect of our product and technology.
  • Build secure systems: Our customers entrust us with a lot of sensitive data, so we take security very seriously at Pocus.
  • Work with best-in-class engineering practices: We take immense pride in the craft of our work. We don’t skimp on things like code review, developer tooling, documentation, testing, etc.
  • Join an incredible team at a magical time: We’re at the beginning stages of explosive growth. Join a passionate, scrappy, and no-ego team of builders that will inspire you every day.

Pocus offers a Revenue Data Platform that provides businesses with insights into customer and product usage data, specifically for go-to-market (GTM) teams like sales and marketing. The platform allows these teams to analyze data without needing developers, helping them identify opportunities for conversion, cross-selling, and expansion while managing churn and improving retention. Pocus differentiates itself by simplifying data analysis, enabling users to focus on personalized customer outreach. The goal is to streamline growth and optimization by providing a centralized system that maximizes the value of customer data.

Company Stage

Series A

Total Funding

$26.5M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

10%

1 year growth

16%

2 year growth

114%
Simplify Jobs

Simplify's Take

What believers are saying

  • Pocus' platform can significantly accelerate revenue by enabling GTM teams to quickly action product usage data.
  • The company's focus on reducing churn and boosting retention through proactive data management can lead to more stable and predictable revenue streams.
  • Partnerships with influential investors like First Round Capital enhance Pocus' credibility and provide valuable industry insights.

What critics are saying

  • The data analytics market is highly competitive, requiring Pocus to continuously innovate to maintain its edge.
  • Reliance on a subscription-based model means that customer retention is crucial; any decline in customer satisfaction could impact revenue.

What makes Pocus unique

  • Pocus focuses on democratizing data for go-to-market teams, unlike traditional data platforms that cater to more technical users.
  • The platform's ability to provide actionable insights without the need for developers sets it apart from competitors requiring technical expertise.
  • Pocus' Revenue Data Graph breaks down data silos, offering a unified view that is particularly valuable for sales, marketing, and customer success teams.