Dev Ops / ML Ops Engineer, Wizard
$185-235k
Conversational AI for eCommerce customer engagement
Be an early applicant
Conversational AI for eCommerce customer engagement
21-100 employees
Be an early applicant
$185-235k
21-100 employees
Company mission
To build a world where finding what you need is simple, fast, and fund - and where scouring the internet is a thing of the past.
Role
Who you are
- If you thrive in an environment where you can take full ownership and have a significant impact we’d love to meet you
- 7-10+ years of experience in DevOps or Infrastructure Engineering, ideally with exposure to production ML systems
- Bachelor’s or Master’s in Computer Science or a related field
- Proven track record of enabling engineering teams by building developer friendly infrastructure and accelerating deployment velocity
- Hands on experience with CI/CD tools
- Experience implementing monitoring/alerting tools
- Strong knowledge of cloud platforms such as AWS, Azure, or GCP
- Bonus: Python or Typescript experience
- Bonus: Experience with LLMs
What the job involves
- We’re hiring a DevOps Engineer with ML Ops experience to lay the foundation for infrastructure, automation and security across our systems
- This is a high impact role where you will work closely with our App Eng and AI teams to streamline deployments, ensure system reliability and help build a secure and scalable system
- You’ll take the lead on designing and implementing best practices for CI/CD, cloud infrastructure, monitoring, reliability and response all with a strong focus on enabling fast, frictionless development
- Design and implement secure, reliable and scalable cloud infrastructure
- Build, manage and scale CI/CD pipelines for fast and repeatable deployments
- Design, build and maintain infrastructure for deploying, monitoring and updating machine learning models in a scalable and cost effective way
- Define and enforce best practices for infrastructure, security and incident response while balancing operational rigor with developer productivity
- Work closely with app eng to streamline build/test/deploy workflows
- Apply software engineering rigor and best practices to machine learning
- Maintain accurate documentation of processes and systems and continuously improve App Eng & ML infrastructure and workflows
- Automate routine operational tasks to reduce friction and keep teams moving fast
- Set up and manage monitoring and alerting systems
Our take
Direct-to-customer marketing is invaluable for eCommerce brands trying to scale, helping to boost brand engagement and encourage repeat sales. However, providing personalized engagement on a large scale is almost impossible through traditional means, showing a demand for automated marketing solutions for large-scale customer interaction.
Wizard provides a conversational AI for eCommerce customer engagement capable of sending automated follow-up messages to customers after they have purchased an item. The tool is heavily focused on boosting product reorders through these follow-up texts, storing every customer's shipping address and payment details to facilitate sales with one-word answers from customers.
Whilst AI-driven chatbots are commonly used to answer simple questions on eCommerce websites, Wizard has taken this a step further by providing a simple way for businesses to receive new orders as a direct response to follow-up marketing texts. By allowing customers to bypass the web entirely for such reorders, the company claims it can boost conversion and repeat purchase rates, whilst simultaneously building brand engagement.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Oct 2021
$50m
SERIES A
Total funding: $50m
Company benefits
- Equity
- Remote work culture
- Health, dental and vision insurance
- Mental healthcare support and services
- 401(K) plan
- 16 weeks parental leave
- 12 paid holidays
- Flexible PTO
- Life and AD&D insurance
Company HQ
Hudson Square, New York, NY
Leadership
Melissa Bridgeford
(Co-Founder & CEO)Experience as Director of Guggenheim Partners from 2009 to 2014. CEO and Founder of Stylust from 2017 to 2021.
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