Software Engineer, Replicant
Thinking Machines
Call center AI chatbots
Be an early applicant
Call center AI chatbots
101-200 employees
Be an early applicant
101-200 employees
Company mission
To provide clients with an artificial intelligence solution that their customers enjoy speaking to.
Role
Who you are
- B.S. or greater in Computer Science or a related field (math, physics, engineering) and strong CS fundamentals
- Proven track record with 3+ years of experience in Typescript or Javascript
- Proficiency with code versioning systems such as GitHub or GitLab
- Experience with cloud hosting providers such as AWS and GCP
- Prior experience working on a production SaaS application - we are primarily a Typescript shop, if you have a strong eye for clean, modular code then you will fit right in
- Thrive in high-paced interactive team environments
- Strong team player - we work in small product teams that work very closely together and are constantly collaborating in order to move as fast as possible
- A strong sense of ownership and customer empathy — we work very closely with our internal teams and external customers. Maintaining positive working relationships with them is paramount to the success of our business
- Excellent communication skills and a vivid imagination
- Openminded and independent thinker who likes to own and solve challenging and complex problems
- Willingness to learn new skills, technologies, and frameworks as needed
- A keen eye for data flow and building well-designed, testable systems
- You are interested in exploring the nuance and aesthetic of conversations
- Experience working with REST APIs, Authentication (OAuth 2.0 and Basic)
- Experience with enterprise tools like Salesforce and Zendesk experience is a plus
- Experience with Jest as a Unit Testing framework is a plus
What the job involves
- We’re looking for a Software Engineer with strong development and communication skills to design, build, and improve customer-facing Thinking Machines™
- You will have the opportunity to improve our core services where necessary, implement clean communication between various internal and external systems, explore Conversational UIs, and help level up our growing team
- Solving interesting challenges as not all of the problems we encounter have frameworks or well-defined solutions
- Ownership; we know that we don’t know everything and want your help to be part of the solutions
- Develop Thinking Machines™ in Typescript and in-house visualization tools
- Leverage internal tooling to build machine learning models
- Work collaboratively with developers, QA, project teams, and customers to ensure our products are the best they can be
- Work as an integrated member of a fully remote, cross-functional Scrum team
- Review and write API specifications for internal and external stakeholders
- Provide technical mentorship within the engineering organization and be ready to assist when necessary
- Write, run, refactor, and maintain scripts to retrieve or modify data
- Review and improve our internal tools and models for creating Thinking Machines™
- Participate in regular on-call rotations to support our systems
- Participate in daily and weekly Scrum rituals (daily stand-ups, sprint planning, sprint retros)
- Perform code reviews and provide feedback, maintaining a high bar for clean and testable code
- Analyze and break down technical designs into tactical and executable blocks of work
- Contribute to process improvement and operational procedures
- Track time and effort on ongoing tasks and provide regular updates
Our take
Whilst automation and AI are being applied to industries across the world, customers must still endure long waits and inconsistent service from telecommunication services. In addition to this, customer service agents must answer the same repetitive questions hundreds of times every day, which is both expensive and inefficient. Replicant uses neural networks to provide completely autonomous call center technology, that aims to provide intelligent and human-like alternatives to customer service agents.
Replicant's service understands context, accents, slang, and technical terms, providing far more intelligent results than simple answer-recognition phone services. Although various startups are taking steps towards reducing bottlenecks within customer service calls through autonomous chatbots, Replicant stands out by focusing on providing realistic and engaging conversation through neural networks, providing a convincing replacement that reduces costs and frustrations within call centers of any type.
Replicant has secured a good amount of funding to fuel its to ambitions to expand research and development, improving its conversations, and launch new automated channels. The company also plans to increase headcount across a range of teams, onboard new customers, and launch professional development programs for its employees.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2022
$78m
SERIES B
Sep 2020
$27m
SERIES A
Total funding: $120m
Company benefits
- Company Equity
- Health insurance
- Remote-friendly
- Frequent offsites
- Unlimited vacation
- Sabbatical program
- Equipment stipend
- Wellness stipend
Company values
- Blade runners - We take ownership and pride to influence the outcomes of our goals and like a Blade Runner, are resourceful in accomplishing them
- Självdistans = Swedish for “self-distance”; the ability to reflect on oneself and one’s relations from an external perspective. We act with objectivity, never letting our work define us
- Bread makers - We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to elevate our company mission
Company HQ
Presidio of San Francisco, San Francisco, CA
Articles
Leadership
Gadi Shamia
(CEO)They co-founded TopManage before spending 6 years at SAP and Magneto, as well as COO positions at Adobe and Talkdesk. They co-founded Replicant in January 2019, serving since as CEO.
Benjamin Gleitzman
(CTO)Having studied at MIT, they worked as a Software Engineer for Hunch and co-founded NextStep and ShockBottoms. They spent 6 years as an eBay Software Engineer before co-founding Ruse, MONA, and Replicant.
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