Data Engineer, Writer
+ Stock options
AI writing assistant
Be an early applicant
AI writing assistant
201-500 employees
Be an early applicant
+ Stock options
201-500 employees
Company mission
To bring generative AI to the enterprise.
Role
Who you are
- If you are passionate about data modeling and solving complex data problems, we want to hear from you!
- 5+ years of hands-on experience in a data engineering role, ideally in a SaaS environment
- Expert in SQL, dbt and Python
- Advanced knowledge of data engineering tools, frameworks and languages (eg. Airflow, Airbyte, Kafka, github workflows)
- Experience working with services in cloud environment (eg. AWS or GCP)
- Care deeply about data quality, integrity and security
- Thrive in ambiguity and can create paved roads from dirt paths
- Bonus points if you have experience with product event/attribute tracking design and implementation
- High intellectual curiosity and a proclivity to lean into a new subject matter
- A trusted advisor and partner for all levels of the organization
- Intrinsically motivated: you set the highest possible bar for what you build and ship
- An eye for spotting an opportunity, intuition for determining which ones to prioritize, and courage to follow through
- Possesses humility — no work is too trivial if it’s impactful
- Resilient and open to honest (and kind) feedback; tough skin
- Self-aware and committed to learning the why for both successes and failures
- Proactive communication skills, both sync and async
- Experience managing and building relationships across multiple departments and stakeholder levels
- A natural affinity to our values of connect, challenge, own
What the job involves
- This role presents an extremely rare and unique opportunity to influence the architecture and tools that power our data analytics and reporting capabilities
- You’ll be at the intersection of engineering, product and data, leading the integration of our product, financial, and business systems
- Data workflows: Own, build, and maintain data pipelines, ETL/reverse-ETL processes and BigQuery environment
- Data quality: Implement an orchestration tool. Design a suite of tests and validations to ensure data consistency, accuracy and integrity
- Data modeling: Develop reliable and lasting data models, while optimizing for scale
- Documentation: Catalog and document all aspects of our data pipelines. Create the foundation for a data governance program
- Collaboration: Partner with product and engineering teams to deliver data solutions that align with downstream use cases
- Data leadership: Establish data engineering best practices and serve as a subject matter expert on our data architecture, models and systems
- Tech stack:
- Core tools: BigQuery, dbt, Fivetran, Hightouch, Segment, Amplitude, Omni
- Periphery tools: Salesforce, Hubspot, Gong, Vitally
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 $100 million Series B awarded in 2023, the company is well-placed to seek further success into the future.
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
(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
(CTO)Previously co-founded CloudAppers, then served as CTO at iMENA. Subsequently co-founded AI content editor Qordoba.
Salary benchmarks
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