Full-Time

Developer Relations

Posted on 1/7/2026

Chalk

Chalk

51-200 employees

Fraud detection and credit underwriting platform.

Compensation Overview

$150k - $250k/yr

+ Equity

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

In Person

Office-based role; 5 days per week in-office; no hybrid option.

Category
Developer Relations
Required Skills
Python
Apache Spark
Apache Kafka
Requirements
  • Bachelor's Degree in Computer Science
  • Proficient in Python with knowledge of other programming languages
  • Hands-on experience with data technologies including Apache Spark, Kafka, dbt, and data warehouses, managing large-scale datasets
  • Demonstrated experience in a sales-led B2B environment, with a track record of supporting enterprise sales cycles and collaborating with GTM
Responsibilities
  • Serve as the technical voice of Chalk to data engineers, ML teams, and infra leaders.
  • Create and distribute high-impact content: technical blog posts, field guides, explainers, demos, tweet threads, and short-form video.
  • Collaborate with product and sales to produce resources that support enterprise buyers—diagrams, decks, POCs, ROI calculators, etc.
  • Represent Chalk externally via talks, meetups, events, and customer-facing channels.
  • Work with prospects and customers to understand what good looks like and feed insights back to the product team.
  • Build and grow a community around real-time data infra and production ML.
Desired Qualifications
  • A software engineer background with a passion for leveraging coding expertise to educate fellow engineers through product documentation and writing.
  • Extensive technical expertise in AI/ML, MLOps, and data engineering.
  • Proficient in Python with knowledge of other programming languages.
  • Hands-on experience with data technologies including Apache Spark, Kafka, dbt, and data warehouses, managing large-scale datasets.
  • Demonstrated experience in a sales-led B2B environment, with a track record of supporting enterprise sales cycles and collaborating with GTM.
  • Proven ability to create compelling content across multiple formats and channels, effectively communicating complex technical concepts to diverse audiences.
  • Strong interpersonal skills, with the ability to build and maintain relationships with both internal teams and external developer communities.

Chalk.ai provides risk intelligence for businesses in fintech, focusing on fraud detection and credit underwriting. It offers a scalable platform powered by machine learning and data engineering to help companies manage risk during financial transactions. The product processes data in real time through online ML models, enabling live decision-making, and is delivered as a subscription service with configurable workflows and risk models that require minimal infrastructure to use. Chalk.ai differentiates itself by offering highly customizable and scalable risk solutions tailored to each business’s needs, along with real-time processing and an easy-to-use platform. Its goal is to help financial institutions, e-commerce platforms, and other high-volume transaction businesses reduce fraud and improve credit decisions by providing actionable risk insights through a managed ML-powered platform.

Company Size

51-200

Company Stage

Series A

Total Funding

$60M

Headquarters

San Francisco, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Horizontal expansion across fintech, identity, healthcare, e-commerce verticals underway.
  • LLM Toolchain unifies structured and unstructured data for GenAI applications.
  • $50M Series A validates positioning as critical infrastructure layer.

What critics are saying

  • Databricks Mosaic AI directly competes on feature stores and low-latency serving.
  • Open-source alternatives like Feast and Tecton commoditize feature engineering.
  • Rust Foundation standardization threatens proprietary Rust-based compute engine differentiation.

What makes Chalk unique

  • Sub-5ms latency inference engine scales to 100,000 QPS with Rust-based compute.
  • Unified platform combines feature engineering, LLM evals, and real-time inference.
  • Deploys within customer VPC for data residency and compliance control.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Paid Holidays

Flexible Work Hours

Phone/Internet Stipend

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-3%

2 year growth

-7%
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Chalk Raises $50M Series A to Power AI Inference

Chalk, the data platform for AI inference, announced today that it has raised a $50 million Series A at a $500 million valuation.

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