Software Engineer, Analytics

Vancouver, Canada

Dialpad

With Dialpad, you can connect to customers, coach customer-facing teams, & deliver amazing experiences—all with one Ai-powered communications platform.

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About Dialpad

Dialpad is the leading Ai-powered customer communications platform creating human-first, Ai-enhanced solutions that will drive the next wave of how businesses communicate with and serve their customers. Enterprise customers like Randstad, Remax, Mizuho, Cigna, T-Mobile, Johns Hopkins, Motorola, Warby Parker, Panera Bread, and Netflix, use Dialpad and its Ai capabilities to deliver amazing customer experiences. Supported by notable investors such as Andreessen Horowitz, Google Ventures, and ICONIQ Capital, Dialpad is a dynamic force in Ai technology with a rapidly expanding presence. Visit dialpad.com to learn more.

About the team

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.

Your role

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. 

What you’ll do 

  • 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

Skills you’ll bring 

  • Bachelor's or Master’s degree in Computer Science, Software Engineering or related fields.
  • 1 - 3 years of working  experience with software engineering or data engineering project 
  • 1 - 3 years of experience with Python, preferably building libraries or web applications 
  • 1 -3 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.

Dialpad benefits and perks

Benefits, time-off, and wellness

An apple a day keeps the doctor away—and it doesn’t hurt that we offer flexible time off and great options for medical, dental, and vision plans for all employees. Along with that, employees also receive a monthly stipend to help cover your cell phone bill, home internet bill, and we reimburse for gym membership costs, a variety of wellness events, and more!

Professional development

Dialpad offers reimbursement for expenses related to professional development, up to an annual limit per calendar year.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.

British Columbia, Canada Salary Range$119,550—$141,217 CAD

Culture
We’ve been named a Top Workplace seven times, and a big part of this is because of our collaborative culture that elevates our teammates, celebrates wins, and brings together passion and talent. 

Compensation
Teamwork makes the dream work, and Dialpad offers competitive salaries because each and every Dialer participates in our success.

Diversity, Equity, and Inclusion (DEI) at Dialpad

At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work BeautifullyDelight Our Users, and Innovate Continuously to bring our world-class product to life. 

Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.

Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Tags: ASR BigQuery CAD CI/CD Computer Science Computer Vision Data analysis Data pipelines dbt Docker Engineering GCP Git Kubeflow Kubernetes LLMs ML models NLP Pipelines Privacy Python Security SQL Tableau Testing

Perks/benefits: Career development Cell phone stipend Competitive pay Equity / stock options Fitness / gym Flex hours Flex vacation Health care Home office stipend Salary bonus Team events Wellness

Region: North America
Country: Canada

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