Software Quality Engineer, Writer
$146.7-258.4k
Offers equity
AI writing assistant
Be an early applicant
AI writing assistant
201-500 employees
Be an early applicant
$146.7-258.4k
Offers equity
201-500 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- Are you passionate about ensuring the highest quality for cutting-edge generative AI applications?
- 5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications
- Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright
- Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus
- Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed
- A collaborative spirit that helps you Connect cross-functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end-to-end quality of our products
- Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment
What the job involves
- As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform
- You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI
- This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field
- You will report directly to the director of engineering
- Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance
- Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typsecript, Python
- Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria
- Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases
- Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams
- Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation
- Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions
- Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution
- Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP)
- Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution
Our take
AI-assisted writing tools have taken off over recent years. With the likes of high-exposure company Grammarly accelerating adoption of such tools, a flurry of startups have appeared to offer their own takes. Writer’s angle is to leverage AI as a means of standardizing and scaling both content and communications for business teams. The tool offers autofilling and inline suggestions that keep content aligned with pre-determined company language and style guides.
This branded fine-tuning function distinguishes it from full copy-generation competitors, as well as from Grammarly itself, which is a more generalist copyediting tool. It subsequently caters to major enterprise clients looking to maintain standards across multiple and sprawling teams, and the company has managed to net major clients like Deloitte, Twitter, UiPath, and Accenture.
While AI-related buzz remains solidly around generative AIs like ChatGPT and Bard, Writer's narrow target market - in which it has already found success - supplies plenty of scope to grow, as AI copyediting tools look set to rapidly become content industry standard. With continued new launches and updates to its offerings, as well as an impressive $200 million Series C awarded in 2024, the company is well-placed for further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
229% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$200m
SERIES C
Sep 2023
$100m
SERIES B
Total funding: $326m
Company benefits
- Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA
- Flexible location and schedule options
- Competitive parental leave policy
- Company stock options
- 401k plan with employer contributions
- Learning and development stipend
- Generous PTO
- Distributed from Day 1: Our processes and operating cadence are built around a distributed culture
- SF office space: If you prefer working from an office, we have a beautiful sunny one in Union Square, the heart of San Francisco
Company HQ
Union Square, San Francisco, CA
Leadership
May Habib
(Co-Founder & CEO)Harvard economics graduate, who was previously VP of sovereign wealth fund Mubadala Development Company, and a global shaper at the World Economic Forum. Also co-founded Qordoba.
Waseem Alshikh
(Co-Founder & CTO)Previously co-founded CloudAppers, then served as CTO at iMENA. Subsequently co-founded AI content editor Qordoba.
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