Sumble

Full-stack Engineer

• Sumble builds a knowledge graph from web data with a focus on go-to-market teams
• Uses sources like job posts and resumes to identify org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations)
• Product has strong product-market fit, early revenue, and happy customers; try at sumble.com
• Team of 15, including 10 engineers with experience at Google, Meta, Stack Overflow, and Kaggle
• Role seeks expertise in application development, large-data querying, integrations, and observability
• Tech stack includes Python, FastAPI, React, Typescript, GCP, PostgreSQL, AlloyDB, PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect, Cloud Run, Figma, Vercel
• Challenges include transforming noisy datasets into high-quality data products, running expensive analytics efficiently, managing many data sources and ML models, and providing both aggregated and granular user experiences

Software Engineer, Fullstack

Product Manager

• Sumble is building a knowledge graph from web data focused on go-to-market teams, using sources like job posts and resume data to identify org structure, tech stack, and key projects; product has strong product-market fit and early revenue
• Try the product at sumble.com
• Team of 15, including 10 engineers with experience at Google, Meta, Stack Overflow, and Kaggle
• Own the roadmap — Translate company goals into a focused set of product bets, balancing near-term customer asks with long-term strategic direction
• Work with customers — Partner with design and GTM to run discovery with AEs, SDRs, and RevOps leaders; turn insights into product requirements
• Shape PLG adoption — Instrument and optimize onboarding, activation, collaboration loops, and self-serve flows
• Build the foundation — Establish lightweight but effective product processes (prioritization, discovery, experiment tracking) as the company scales
• Tech stack: Python, FastAPI, React, Typescript; GCP; PostgreSQL, AlloyDB; PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect; Cloud Run; Figma, Vercel V0
• Challenges: Transforming noisy datasets into high-quality data products; running expensive analytics computations efficiently; managing the complexity of growing data sources, ML models, and large data operations; creating a UX that supports high-level aggregations and granular source data

Founding Product Manager

Data Engineer

• Build Sumble's knowledge graph from web data for go-to-market teams, using job posts and resume data to identify org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations)
• Join a 15-person team including 10 engineers with experience at Google, Meta, Stack Overflow, and Kaggle
• Build mission-critical, flexible, and scalable data pipelines focusing on reliability, data consistency, and data recovery
• Explore and define standards for data access and analytics patterns; develop evolving data warehouse and data lake solutions
• Work with SQL, orchestrators, and data modeling; tech stack includes Python, FastAPI, TypeScript, GCP, PostgreSQL/AlloyDB, PyTorch/Huggingface/vLLM, Prefect, and Cloud Run
• Tackle noisy datasets, expensive analytics computations, growing data/model complexity, and create UX supporting both aggregated and granular source data

Designer

• Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams
• Uses sources like job posts and resume data to identify org structure, tech stack, and key projects
• Product has strong product-market fit, early revenue, and happy customers
• Team of 15, including 10 engineers with experience at Google, Meta, Stack Overflow, and Kaggle
• Own product design (UX/UI) and brand/visual design
• Distill complex data into clear, usable interfaces
• Help establish a design system and visual standards to scale across product and marketing (web, social, decks and campaigns)
• Create intuitive flows across landing pages, PLG onboarding and upsell triggers
• Work with founders, engineers, and GTM to bring features to life end-to-end
• Prototype & iterate quickly using lo-fi sketches and hi-fi prototypes to validate ideas
• Tech stack: Python, FastAPI, React, Typescript; Google Cloud Platform (GCP); PostgreSQL, AlloyDB; PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect; Cloud Run; Figma, Vercel V0
• Challenges: transforming noisy datasets into high-quality data products; running expensive analytics efficiently; managing complexity of many data sources and ML models; creating UX that supports both high-level aggregations and granular source data

Data Scientist

• About Us: Sumble's current focus is on acquiring, cleaning, and joining company-related data that integrates seamlessly with customers' data, enhancing go-to-market operations. Our long-term vision is to become the primary destination for accessing high-quality external data.
• Our Team: We are a dedicated team of 9 engineers with experience at companies such as Google, Meta, Kaggle and Stack Overflow.
• What you'll do: Finetuning small language models; Improving the quality of existing data using scalable approaches. Examples include: making sure URLs are associated the right company, we have the correct HQ address, we have mapped parents-subsidiary using techniques like LLM validation, SERP, and triangulating across sources.; Adding new signals: this usually involves scrubbing, matching and normalizing new signals and matching to our existing ontology; Pushing solutions into production environments, which may involve touching data pipelines and/or backend systems.
• More about Sumble: Our Tech Stack: PyTorch, Huggingface, Gemma models, LORA, VLLM, Skypilot, Marimo; Languages & Frameworks: Python, FastAPI, React, Typescript; Cloud Platform: Google Cloud Platform (GCP); Databases: PostgreSQL, DuckDB; Infrastructure: Cloud Run; 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; Join Us: If you're passionate about solving complex data challenges and excited by the opportunity to work with us on cutting-edge technologies, we'd love to hear from you.

Data Scientist / Machine Learning Engineer

Backend Engineer

• About Us: Sumble’s current focus is on acquiring, cleaning, and joining company-related data that integrates seamlessly with customers' data, enhancing go-to-market operations.
• Our Team: We are a dedicated team of 7 engineers with experience at Kaggle, Google, Primer, Stack Overflow, and Meta.
• Who we’re looking for: Someone who has strong expertise in one or more of the following areas, with the ability/interest to work in multiple areas.
• Area 1: Backend Engineer
• 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
• Experience developing software applications using a general-purpose programming language such as C#, Python, Java, or JavaScript.
• Proficiency in SQL
• Area 2: Data Engineer
• Building mission-critical, flexible and scalable data pipelines to move and analyze data at scale, with a focus on reliability, data consistency, and data recovery
• Exploring and defining standards for data access and analytics patterns
• Developing data warehouse solutions that evolve with the size and scale of the company
• Proficiency in SQL, orchestrators, data modeling

Software Engineer, Fullstack

Founding Product Manager

Data Engineer

Designer

Data Scientist / Machine Learning Engineer

Software Engineer, Backend/Data