Software Engineer, Assembled

Forecasting & Scheduling

$135-280k

Salary dependent on location. + Stock options

Python

Java

Rust

Pandas

Junior, Mid and Senior level

San Francisco Bay Area

Remote from US

Customer support workforce management platform

Be an early applicant

Customer support workforce management platform

101-200 employees

B2BEnterpriseInternal toolsDeep TechCommunicationCustomer service

Be an early applicant

$135-280k

Salary dependent on location. + Stock options

Python

Java

Rust

Pandas

Junior, Mid and Senior level

San Francisco Bay Area

Remote from US

101-200 employees

B2BEnterpriseInternal toolsDeep TechCommunicationCustomer service

Company mission

To create a support operations platform that helps companies maintain exceptional customer experiences, no matter what lies ahead.

Job

Company

Role

Who you are

Experience with translatable languages: Extensive back-end engineering experience in statically typed languages like Go, Java, or Rust
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

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
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, that 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 (3.5)

Company

Funding (last 2 of 3 rounds)

May 2022

$51m

SERIES B

Mar 2021

$16.6m

SERIES A

Total funding: $70.7m

Company benefits

Equity package
Insurance coverage
401k
CSA Credit
Stipend for use at any Assembled customer
Professional development stipend
Wellness stipend

Company HQ

Mission District, San Francisco, CA

Leadership

Ryan Wang

(CEO & Co-Founder)

Studied at the University of Chicago and worked as a Senior Consultant at The Greatest Good. Previously a Software Engineer at Stripe.

John Wang

(CTO & Co-Founder)

Studied Computer Science at MIT and worked as a Freelance Software Developer before joining Stripe.

Brian Sze

(Co-Founder)

A Stanford graduate who worked in Investment Banking at RBC Capital Markets. Previously Head of Business Operations at Stripe.

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