Posting record
Open 10+ days
- Sumble Inc's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Sumble Inc, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.
Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com .
Our Team
We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.
What we are looking for
- Someone who has strong expertise in one or more of the following areas, with the ability/interest to:
- Experience developing software applications using a general-purpose programming language such as C#, Python, Java, or JavaScript.
- Efficiently querying large volumes of data and doing large aggregations
- Developing, maintaining, and optimizing software to efficiently serve a web application and query a database
- Developing, maintaining and troubleshooting integrations with external applications
- Ensuring the security and durability of software with appropriate and actionable alerting, monitoring, and logging systems
Our Tech Stack
- Languages & Frameworks: Python, FastAPI, React, Typescript
- Cloud Platform: Google Cloud Platform (GCP)
- Databases: PostgreSQL, AlloyDB
- ML/Data: PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect
- Infrastructure: Cloud Run
- Design: Figma, Vercel V0
Challenges We Tackle
- Transforming noisy datasets into high-quality data products
- Running expensive analytics computations efficiently
- Managing the complexity of a growing number of data sources, machine learning models, and large data operations
- Creating a user experience that allows both powerful high-level aggregations AND allows users to also see the granular underlying source data
Requirements
- Located within Americas timezones
Benefits
- Medical, dental, and vision (US)
- 401k (US)
- Target 4 weeks PTO
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