About Dialpad
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.
Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.
Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
Dialpad is building AI that helps businesses communicate, resolve customer needs, and automate work in real time. Our Applied AI team develops models, agentic capabilities, and evaluation methods that power these experiences.
As a Sr. Software Engineer, Applied AI Systems, you will build the software systems that power Dialpad’s next-generation agentic AI. You will work closely with Applied Scientists and partner with engineering teams to turn advanced AI capabilities into reliable, scalable customer-facing experiences.
This is a hands-on role for an engineer who enjoys building agentic systems at the intersection of AI, backend services, and product delivery. You will help shape how DialpadGPT models are integrated, evaluated, monitored, and deployed in next-generation AI products, including real-time conversational experiences.
What you’ll do
- Design and build scalable backend services and distributed systems for agentic AI applications.
- Partner with Applied Scientists to bring models, evaluation methods, and agentic capabilities from prototype to production.
- Build software that connects models, tools, data, and evaluation feedback into robust AI experiences.
- Develop APIs, data flows, and integration patterns for low-latency, high-quality AI services.
- Build systems for model deployment, release management, monitoring, evaluation, and safe rollout.
- Improve the reliability, latency, scalability, and cost efficiency of production AI systems.
- Contribute to the evolution of DialpadGPT and the engineering systems that support next-generation agentic experiences.
- Work across engineering, product, and research to resolve complex technical problems and deliver measurable customer impact.
What you’ll bring
- 5+ years of professional software engineering experience building and operating production services.
- Strong experience with backend systems, distributed services, APIs, and cloud-based infrastructure.
- Experience building agentic systems, LLM-powered applications, model-serving systems, or AI-enabled backend services in production.
- Strong programming skills in Python and/or other backend languages, with a focus on clean, maintainable, well-tested code.
- Experience with service observability, debugging, performance optimization, and production incident response.
- Ability to work effectively in an ambiguous, fast-moving environment and translate technical prototypes into durable systems.
- Strong communication and collaboration skills, especially when working with Applied Science, product, and engineering partners.
For exceptional talent based in Ontario, 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 Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Skills Required
- 5+ years of professional software engineering experience building and operating production services
- Strong experience with backend systems, distributed services, APIs, and cloud-based infrastructure
- Experience building agentic systems, LLM-powered applications, model-serving systems, or AI-enabled backend services in production
- Strong programming skills in Python and/or other backend languages, with a focus on clean, maintainable, well-tested code
- Experience with service observability, debugging, performance optimization, and production incident response
- Ability to work effectively in an ambiguous, fast-moving environment and translate technical prototypes into durable systems
- Strong communication and collaboration skills when working with Applied Science, product, and engineering partners
Dialpad Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dialpad and has not been reviewed or approved by Dialpad.
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Fair & Transparent Compensation — Compensation is viewed as competitive across many roles, combining salary, bonuses, equity, and benefits into a well-rounded package. Overall satisfaction with pay and total compensation is characterized as positive.
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Leave & Time Off Breadth — Paid time off is described as generous, with an unlimited PTO policy highlighted as a standout element. This breadth of time off is positioned as a central strength of the benefits package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, vision, disability, life insurance, and mental health benefits. Such coverage depth is presented as a core strength of the overall package.
Dialpad Insights
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.
