Technical Lead - Toronto, Canada - T6 Talent Partners

T6 Talent Partners

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

About Us

Voiceflow is the leading collaborative conversational AI platform.

Our collaboration platform makes it easy for conversational AI product teams to quickly design, test, ship and iterate on conversational assistants - together, faster, at scale.

Assistants designed and built with Voiceflow span hundreds of use cases, from drive thrus to in-car assistants, call centres and more.

Voiceflow is loved by over 80,000 global teams with some of the world's largest companies as customers including Google, BMW, US Bank, McDonalds, JP Morgan, Spotify, Amazon, Home Depot, Best Buy, John Hopkins, and thousands of others.

We're biassed of course, but we think we're building one of the coolest products in the world. Put this claim to the test and try out Voiceflow's free version yourself - give it a try

Joining a new company is one of the biggest decisions we all make in life as we're investing our most important resource - our time.

At Voiceflow, we're investing our time here because we believe in an inevitable future where many of the conversations we have with brands everyday will be increasingly automated.

If that's the future we're all going to be a part of, then the world needs Voiceflow to ensure the teams building these conversational experiences have great tools to craft great experiences.

Think of us like the Adobe creative suite for the growing world of conversational AI. You can learn more about our vision of the future here.

We've raised $25M USD the past 2 years from some of the world's best investors including Felicis, Craft, True, Amazon, Google & CEOs of Figma, Webflow, Eventbrite, InVision, Product Hunt, and more.

We're a small, fast growing remote team of around 35 team members from around the world, composed of dedicated and talented individuals with a core focus on engineering and product.

About the Role

How do we scale a conversational AI platform as assistants become more capable?
That's the question we'd like your help to answer at Voiceflow.

We currently have 100,000+ teams using the platform along with numerous enterprises and are focused on improving their experiences in building voice and chat apps.

We're looking for a

Data Services Tech Lead to lead the efforts to design and build the next generation of our data processing, storage and serving layers. These involve a combination of static, multimedia and ML powered content. This is a unique opportunity to lead a team focused on creating the platform that will help Voiceflow scale 100x.

You'll work with our ML Lead and the newly created Data services team to build the first version of the platform and iterate on it as we add more use cases.

As a services team, your first customer will be a front end team responsible for serving platform content to end users.

You can read about some of the articles we've written about our platform:

_How Voiceflow uses monorepos_
- , _

Building Voiceflow's Engineering Platform._

What we currently have:

A backend capable of handling multimedia data (test, images, voice) at the foreseeable scale
A robust CI/CD system and developer tooling
An exciting (and realistic) product roadmap
Great engineering team

What you'll do:

Build a 0 to 1 data platform with a small team
Iterate on project requirements with project PM by talking with customers and other internal stakeholders
Architect data ingestion, retrieval, tagging and search workflows
Iterate quickly on designs based on technical and business constraints
Scale a chosen design for production
Set the foundation for a terabyte scale we haven't seen yet, considering cost, latency, reliability and security
Manage daytoday team requirements (standups, performance reviews, etc)

About You:

Experience successfully leading small teams (3 to 7 people) for new projects
Experience designing and integrating data systems into broader platforms
Experience integrating and using vector databases or data warehouses such as Pinecone, Milvus, Snowflake, Redshift, etc
Experience working with real time data systems with technologies such as Kafka, Flink, Pubsub, etc
Comfortable working with rapidly changing requirements
Strong programming experience in python integrating with a data focused stack with cloud native or open source technologies

Nice to Have:

Strong experience in data modelling and schema design, with relational or non relational databases
Familiarity with the Conversational AI space
Understanding of Language Models
Experience Scaling data processing pipelines for multi tenancy use cases
Experience with Terraform/Cloud Formation and AWS/GCP
Understanding of Cloud security

Our Process:

- _ Role Screening Call _- a 30-minute call with Denys (ML Lead) to learn more about the role, our company and align on expectations for the role.
- _ Culture Screening Call _— a 30-minute call with Brett (Recruitment) to share more about Voiceflow, our te