Senior Backend Engineer, Klue

AI/ML

CA$150-175k

MongoDB

AWS

Docker

Kubernetes

GCP

Python

Elasticsearch

Redis

Postgres

Tensorflow

MySQL

SpaCy

Flask

Kubeflow

PyTorch

Keras

Slack

Rails

REST API

Senior level

Toronto

Vancouver

More information about location

2-5 days a week in office

Competitive enablement software

Job no longer available

Competitive enablement software

201-500 employees

B2BEnterpriseAnalyticsMarket researchBusiness IntelligenceSaaS

Job no longer available

CA$150-175k

MongoDB

AWS

Docker

Kubernetes

GCP

Python

Elasticsearch

Redis

Postgres

Tensorflow

MySQL

SpaCy

Flask

Kubeflow

PyTorch

Keras

Slack

Rails

REST API

Senior level

Toronto

Vancouver

More information about location

2-5 days a week in office

201-500 employees

B2BEnterpriseAnalyticsMarket researchBusiness IntelligenceSaaS

Company mission

Klue's mission is to enable revenue teams with the insights they need to win, when they need it, and wherever they live.

Job

Company

Role

Who you are

Right now we are looking for senior-level experienced Back-End Engineers with a background in GenAI, LLMs or NLP related work
Expertise in Python
You stay up to date on recent advances with LLMs and are quick to experiment with the latest approaches including RAG
You own initiatives end to end: from prototyping to production
You lead technical design discussions, write and review technical design documents, and provide technical guidance and directions to the larger engineering team
Expertise in relational databases such as PostgreSQL or MySQL
You are proficient in designing, implementing, and deploying RESTful APIs and you have experience with (non)relational and vector databases
Experience using Docker, Kubernetes, AWS, GCP
You demonstrate good judgment when making architectural decisions and you understand how those decisions fit into the bigger picture
Experience using NoSQL databases such as Elasticsearch or MongoDB is a plus

What the job involves

We are looking for Senior Backend Engineers to join our Machine Learning team to deliver high-quality products in the most efficient way
What is our current tech stack?
Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes
Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Temporal, JS, Github, GPT
What is our development team working on?
Services for collecting, processing and generating timely, relevant intel that is accurately linked to competitors, products, industries, and people
As part of our backend team, we are concerned with data storage and retrieval and the infrastructure to enable that
Here’s what our development team is working on and the opportunity for motivated Software Engineers to dig into, alongside us:
Big Data - lots of data
Ingesting hundreds of thousands of news articles, web pages, marketing and sales data points per day
The challenge is indexing them for a long period of time and making them searchable and ready for different analysis
Expanding our Rails REST API and offering public APIs to enable integrations
Architect infrastructure for a scalable, resilient and robust service
We are migrating from a monolith architecture to K8S-hosted microservices
Retrieval Augmented Generation for Compete - An end-to-end system that ingests a real-time feed of compete content from various sources such as Slack, reviews, websites, news, interviews, sales calls, and documents, to generate relevant and factually accurate content

Application process

All interviews will be conducted via video calls

Our take

The integration of market data into the many functions of enterprise has been a consistent trend in SaaS markets for a number of years. Klue is taking a similar approach for teams looking to understand competitive landscapes.

The startup is uniquely attempting to create a new category of ‘competitive enablement software’. Whereas other software companies sought to fix a company’s business intelligence needs or content placement strategies, Klue brings all of these services together under the lens of competitive positioning.

Klue plans to find ways to reduce the burden of collecting intel and also automate insights. The company wants to introduce deeper integrations with enterprise tools like Slack, Salesforce, Gong, Highspot and Gainsights.

The biggest risk facing the company is that their product is currently more enterprise friendly, supported by customer specialists. For the software company to achieve true scale, they will want to democratise access to competitive enablement with a self-serve software available to small businesses.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

9% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (last 2 of 6 rounds)

Mar 2023

$2m

GRANT

Dec 2021

$62m

SERIES B

Total funding: $89.5m

Company benefits

We gather compensation benchmarking data across BC and Canada’s Tech Industry, and use that data to build a range for our current team and future talent based on skill, capabilities and potential
We currently have extended health benefits
Vacation. Unlimited Vacation. We want the team to prioritize wellness and avoid burnout. We want to also give individuals autonomy to choose how and when they take vacation. We understand and respect that everyone’s needs for time off are different, just like our team.
Work-life integration: Hybrid work model, flexible working schedules, and a global team

Company HQ

Downtown Vancouver, Vancouver, BC

Leadership

Jason Smith

(CEO)

Key roles include President at Vision Critical, a global market research software leader, and co-founder of Columbus Group, a digital agency pioneer acquired by TELUS. Advisor and consultant to early-stage companies. Stint as a VP at Electronic Arts.

Sarathay Naicker

(CTO)

Prior to Klue, Sarathay rose to become the Chief Technologist at major cloud company, Sophos. Prior to that Sarathay was a senior developer at ActiveState until 2003.

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