Software Engineer, Assembled

Forecasting & Scheduling

$135-280k

Offers stock options

Python

Pandas

Junior, Mid and Senior level

Remote from US

Customer support workforce management platform

Open for applications

Customer support workforce management platform

101-200 employees

B2BEnterpriseInternal toolsDeep TechCommunicationCustomer service

Open for applications

$135-280k

Offers stock options

Python

Pandas

Junior, Mid and Senior level

Remote from US

101-200 employees

B2BEnterpriseInternal toolsDeep TechCommunicationCustomer service

Company mission

To elevate customer support through AI-powered software that makes life easier for customers and employees.

Job

Company

Role

Who you are

Familiarity with ML packages and software: Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work
Background in ML or algorithmic teams: Previous experience working on a machine learning or algorithmic team
Passion for performance: A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling
We know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply

What the job involves

Predicting contact volume: Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents required for specific days and times
Scheduling 1000s of support agents: Designing and implementing interfaces to collect and store team preferences and customer business constraints (e.g., labor laws), enabling the creation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints. (check out https://en.wikipedia.org/wiki/Nurse_scheduling_problem)
MLOps: Enhancing machine learning efficiency and operations to support rapid model deployment and iteration

Our take

Assembled's platform helps companies manage and scale their customer support services. Customer service management is just one of the many areas that are being overhauled by digital transformation. Assembled helps streamline cumbersome and error-prone customer support processes - such as planning support rosters, forecasting demand, and evaluating team performance.

Assembled already counts companies like Zoom, GoFundMe and Stripe on its customer books, and finds huge opportunity in key industries like eCommerce and food deliveries that have been seeing massive digital overhauls.

Having received significant investment, the company seems set on continued growth, with funds cited to support product development as well as help launch its CX Scholars initiative. This will commit a percentage of revenue to continuing education for support workers.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

11% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 3 rounds)

May 2022

$51m

SERIES B

Mar 2021

$16.6m

SERIES A

Total funding: $70.7m

Company benefits

Competitive compensation and equity: All Assemblers are encouraged to act like owners. We’re building the best team, and our compensation packages reflect that.
Comprehensive insurance and 401(k): Between our 401(k) plan and coverage for health, dental, vision, and more, Assemblers don’t have to worry about the future.
Employment sponsorship opportunities: We proudly sponsor employment visas for candidates who require visa sponsorship to work in the United States.
Stipends for wellness and development: Assemblers get monthly stipends for things like gym memberships and continued learning and development.
Flexible work arrangements: We love to see each other in person but we also like options. Remote employees get a one-time credit to improve their home office.
Office perks: Coming into the office has its perks, like catered lunches 5× per week, hanging out with our awesome teammates (and their dogs!), and the good snacks.

Company HQ

Mission District, San Francisco, CA

Leadership

Ryan Wang

(Co-Founder & CEO)

Previously, Ryan was a Software Engineer at Stripe for nearly 4 years. Prior to that, he was a Senior Consultant at The Greatest Good.

John Wang

(Co-Founder & CTO)

Previously, John co-founded Zinc.io where he served as the Chief Engineer for 4 years. He also worked at a Software Engineer at Stripe, 37signals, and Palantir Technologies.

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