Data Engineer, Writer
$157.8-215k
Offers Equity
2-3 days a week in office (Union Square, SF or 1 Penn, NY)
AI writing assistant
Be an early applicant
AI writing assistant
201-500 employees
Be an early applicant
$157.8-215k
Offers Equity
2-3 days a week in office (Union Square, SF or 1 Penn, NY)
201-500 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- If you're passionate about data infrastructure and solving complex data problems at a company that's reshaping how enterprises work with AI, this is your opportunity to make an outsized impact
- 5+ years of hands-on experience in a data engineering role, ideally in a SaaS or fast-growing tech environment where you've built systems from the ground up
- Expert-level proficiency in SQL, dbt, and Python—you write clean, efficient code and know how to optimize queries that run against massive datasets
- Strong experience with data pipeline orchestration tools (Airflow, Prefect, Dagster, or similar) and CI/CD for data workflows—you treat pipelines like production software
- Deep understanding of cloud-based data architectures on AWS or GCP, including networking, IAM, and security best practices that keep enterprise data safe
- Strong grasp of data modeling principles, warehouse optimization, and cost management—you know how to build scalable systems that don't break the bank
- Passionate about data reliability, testing, and monitoring—you believe quality data is the foundation of good decisions
- You thrive in ambiguous, fast-moving environments and enjoy building systems from scratch, bringing clarity to complex problems and seeing them through to impact
- You embody our values: Connect (collaborate across teams to understand needs), Challenge (push for better solutions and question assumptions), Own (take full responsibility for your systems and their impact)
What the job involves
- We're looking for a data engineer to help design, build, and scale the data infrastructure that powers our analytics, reporting, and product insights. As part of a small but high-impact data team, you'll define the architectural foundation and tooling for our end-to-end data ecosystem—the systems that enable data-driven decisions across the entire company and fuel WRITER's rapid growth
- You'll work closely with engineering, product, and business stakeholders to build robust pipelines, scalable data models, and reliable workflows that transform raw data into actionable intelligence. This isn't just about moving data around—it's about creating the foundation that helps us understand how our AI agents perform, how our customers succeed, and where our biggest opportunities lie
- Core tools in our tech stack include: Snowflake, BigQuery, dbt, Fivetran, Hightouch, Segment
- Periphery tools: AWS DMS, Google Datastream, Terraform, GithHub Actions
- Reporting to the director of analytics
- Design and maintain scalable, fault-tolerant data pipelines and ingestion frameworks across multiple data sources, ensuring reliable delivery of critical business data
- Architect and optimize our data warehouse (Snowflake/BigQuery) to ensure performance, cost efficiency, and security as we scale to support hundreds of enterprise customers
- Build efficient and reusable data models optimized for both analytical and operational workloads, enabling teams across WRITER to access the insights they need
- Define and implement data governance frameworks including schema management, lineage tracking, and access control to maintain data quality and security
- Build and manage robust ETL workflows using dbt and orchestration tools like Airflow or Prefect, with comprehensive monitoring, alerting, and logging to ensure pipeline observability
- Develop data validation, testing, and anomaly detection systems that catch issues before they impact business decisions, establishing SLAs for key data assets
- Partner with product and engineering teams to deliver data solutions that align with downstream use cases, from training AI models to measuring product performance
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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