About Dialpad
Ai that means business
Dialpad pioneered the first Ai-powered customer communications platform that now serves as the secure foundation for all Dialpad products. By bringing all conversations together in one place, businesses of all sizes in any industry can instantly unlock the power of Ai to unite people, automate tasks, streamline workflows, collect data-driven insights, and turn conversations into opportunities that drive growth. Supported by notable investors like Andreessen Horowitz, Google Ventures, and ICONIQ, Dialpad is a dynamic force in AI technology with a rapidly expanding presence. Visit dialpad.com to learn more.
About the team
Dialpad’s Ai Engineering team works centrally alongside Data Science, Telephony, and Product Engineering teams to produce The Good Ai. In this role, you’ll leverage and acquire a broad skill set ranging from Distributed Systems Engineering, DevOps, MLOps and Data Engineering to deliver functionality essential to powering Dialpad’s Ai products.
Your role
As a Software Engineer–Ai Core, you’ll work with the team to own the development and uptime of Dialpad’s proprietary near real-time ML inference system, a large-scale distributed system built by leveraging technologies like Kubernetes, Redis, event-driven message bus systems, modern asynchronous Python, and a plethora of Open Source technologies. You’ll contribute directly to powering Dialpad’s Ai products at scale, working closely alongside the Data Science teams to unleash Ai features that work for our customers.
This position reports to our Engineering Manager, Ai Engineering and has the opportunity to be based in our Vancouver, British Columbia, Canada region.
What you’ll do
First 3 Months
- You’ll acclimate and be paired directly with a peer (in addition to your manager) whose job it will be to make sure you have the information and tools you need to be successful.
- You’ll work primarily with fully asynchronous modern Python, but we are strong believers in using the right tool for the job, making use of other languages where it makes sense to in our stack.
- You’ll be exposed to Open Source Software. We employ many Open Source technologies to get the job done, and we love to contribute back to those communities. We also maintain Open Source codebases for libraries we’ve created ourselves.
First 6 Months
- You’ll collaborate. All levels of engineers on the team participate in authoring and reviewing PRs for code changes, and RFCs for more major system changes.
- You’ll have the opportunity to deploy code daily on Google Cloud Platform using modern best practices like Kubernetes, Docker, and CI/CD Systems.
- You’ll work with the team to continuously learn by constantly evaluating and applying state-of-the-art systems and techniques to ensure we build systems which are fault tolerant and highly scalable.
First 12 Months
- You’ll build and manage high-performance real-time data pipelines, taking significant ownership of key components of the stack.
- You’ll share. Exploring knowledge and findings with teammates is highly encouraged, with weekly opportunities to host or attend learning sessions including members of both Engineering and Data Science teams.
Skills you’ll bring
- You have a Bachelor’s Degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent work experience.
- You have strong fundamentals in software engineering and computer science.
- You’re excited to work on a distributed team; you value collaboration whether your teammate sits beside you or across an entire continent.
- You have strong experience working with one or more dynamically typed programming language(s).
- You have a strong desire to continuously learn.
- You enjoy efficient evaluation of a problem space and finding the right tool for the job.
- You measure & monitor everything ensuring stability, redundancy, and runtime.
- You make data-driven decisions - Measure twice, cut once.
- You enjoy learning from your experiences and sharing your knowledge with your team.
- You work on diverse problems across different systems.
- You appreciate code and system maintainability, and support continuous improvement.
- Fluency in English.
Bonus points for experience with:
- The Python ecosystem.
- Cloud providers such as Google Cloud Platform or AWS.
- git or other version control systems.
- Relational and/or non-relational database systems, Pub/Sub, Messaging Systems.
- Building and managing batch or streaming data processing pipelines, ETLs.
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
$115,400—$157,267 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 and equity
Teamwork makes the dream work, and Dialpad offers competitive salaries in addition to stock options 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 Beautifully, Delight 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.
Top Skills
What We Do
Dialpad is a cloud-based business phone system that turns conversations into opportunities and helps global teams make smarter calls--anywhere, anytime. We bring simplicity to the professional phone experience and some of the world’s most innovative companies use our platform. Dialpad's products span video meetings, cloud call centers, sales coaching and dialers and enterprise phone systems--and are all infused with the latest AI technologies to help every business make smarter calls. Customers include WeWork, Uber, Motorola Solutions, Domo and Xero. Investors include Amasia, Andreessen Horowitz, Felicis Ventures, GV, ICONIQ Capital, Salesforce Ventures, Scale Venture Partners, Section 32, Softbank and Work-Bench.
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