Software Engineer, Dialpad
Analytics
CA$119.5-141.2k
AI-powered cloud communications platform
Open for applications
AI-powered cloud communications platform
1001+ employees
Open for applications
CA$119.5-141.2k
1001+ employees
Company mission
To completely transform the way the world works together.
Role
Who you are
- Bachelor's or Master’s degree in Computer Science, Software Engineering or related fields
- 2 - 4 years of working experience with software engineering or data engineering project
- 2 - 4 years of experience with Python, preferably building libraries or web applications
- 2 -4 years of experience with SQL, able to optimize complex SQL queries and build data pipelines
- Experience working with GCP including storage, BigQuery, Compute, Kubernetes or similar
- Experience with version control systems such as Git
- Experience with CI/CD and familiarity with containerization using Docker or similar
- Familiarity with DBT Cloud (bonus: DBT Core)
- Familiarity with BI tools such as Tableau
- Strong attention to detail, with a focus on data accuracy, quality, and integrity
- Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems
- Excellent communication and collaboration skills to effectively work in a multi-disciplinary team
- Familiarity with version control tools like Git for collaborative projects
What the job involves
- Our Data Analysis and QA team works alongside the Data Annotation team to support the Ai teams, working on projects on cutting-edge Automatic Speech Recognition(ASR), Natural Language Processing(NLP) and Computer Vision(CV)
- We take care of the complex business and product logic as well as making sure the data follows our security and privacy standards letting our applied scientists focus on model development
- We help the NLP team to launch and enhance DialpadGPT, our in-house LLM specifically designed for the domain of business communication
- We work closely with the Product team to help them understand how users interact with our Ai product using data analysis
- We also build data pipelines and infrastructure and adopt software engineering best practices
- We are a group of engineers who enjoy writing reports to tell the stories behind the data, which often spin up new data science ideas and help businesses make better decisions
- As a software engineer, you’ll be an integral part of our data analysis and QA team, supporting ASR and NLP teams for their data needs
- You will own our internal package for dataset management and anonymization
- You’ll work closely with our Ai Engineering team to build and maintain toolings for data science projects
- You will help the team with various technical issues
- You’ll be actively looking for opportunities to improve the team’s productivity and workflow through automation and process optimization
- You will work with QA team to implement automated QA
- This position reports to the manager of the data analysis and QA team and has the opportunity to be based in our Vancouver Office
- You will own our internal library for dataset management and other data tooling packages
- You will build and maintain data pipelines on Kubeflow
- You will implement rigorous testing for our data pipelines and SQL queries
- You will work closely with Ai Engineering team to build toolings for data science projects
- You will implement automation and processes to improve our workflow
- You will share the ownership of the DBT core infrastructure with AI Engineering
- You will create and maintain dashboards (Tableau) and data pipelines (DBT) that help drive product and business decisions
- You will contribute to our continuous efforts to enforce data privacy and compliance
- You will collaborate with cross-functional teams, including Ai, engineering and product team
Our take
Dialpad offers an AI-driven cloud communications platform for business teams. It was founded to streamline communications across entire businesses with a fast set-up and hassle-free deployment.
As well as hosting in-house video, meet and text communications with automated note taking and transcription, the platform also features AI-powered customer service, sales and voice intelligence insights. Dialpad has impressed customers such as Asana, Stripe, TED and Uber with its smooth integration capabilities with co-working platforms like Slack, Google Workspace, Salesforce CRM and Microsoft Teams.
The Unicorn company's funding has allowed it to heavily invest in the continued R&D of AI technologies to deliver a number of industry-first features. The company has also expanded globally with the opening of offices in Europe and Asia and plans to further extend its global footprint with additional investments internationally.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Dec 2022
$50m
LATE VC
Dec 2021
$170m
LATE VC
Total funding: $450m
Company benefits
- Company stock options
- Continued education stipend
- Cell phone, home internet, and gym membership stipend
- Work from home opportunities
Company HQ
San Ramon, CA
Leadership
Craig Walker
(CEO)Having studied Law at UCB, Craig worked as an Attorney for Brobeck Phleger & Harrison, before moving to General Counsel at TeleSoft Partners. He spent almost 4 years at Google Ventures before founding Dialpad in January 2011.
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