Senior Software Engineer, Replicant
$130-190k
+ Equity
Call center AI chatbots
Be an early applicant
Call center AI chatbots
101-200 employees
Be an early applicant
$130-190k
+ Equity
101-200 employees
Company mission
To use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.
Role
Who you are
- 5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systems
- Proven experience owning and shipping elegant, maintainable, continuously improving solutions that scale to millions of users
- History of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over process
- Strong communication skills that build trust with teammates and stakeholders
- Mastery of AI tools for writing, improving, debugging, and refactoring large code bases
- Demonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AI
- Mastery of one or more of the following
- TypeScript and frontend frameworks (React or similar)
- Node.Js for production-grade backend systems
- Python
- Rust, LLM prompt engineering, Google Cloud Services, Kubernetes
- Familiarity with all of the following
- Relational databases (MySQL, PostgreSQL)
- Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines
- Metrics, logging, and monitoring
- Enthusiasm for AI, machine learning, telephony
What the job involves
- We’re looking for a Full Stack Software Engineer to join Replicant’s engineering team!
- As part of our team, you’ll design and deliver technology that powers natural, human-like conversations at scale, helping companies reduce wait times, improve customer satisfaction, and empower representatives to focus on complex problems
- You’ll build rich user experiences and backend services that enable customers to design, launch, and monitor these AI-powered conversations
- You’ll collaborate closely with our product and machine learning teams to ensure our customers can build compelling and delightful conversations for their callers
- Our stack includes TypeScript, Node.js, React, and Python in Kubernetes on GCP
- Build new features powering millions of daily conversations on Replicant’s core AI voice and chat products
- Ship full stack end-to-end features with high impact in days, not weeks or months
- Integrate automatic speech recognition, text to speech, and conversational AI model improvements into Replicant’s products
- Refractor, optimize, and debug production systems balancing latency, cost, and user delight
- Participate in regular on-call rotations, monitoring live production systems
- Continuously improve systems based on performance metrics and customer feedback
- Shape a fast-moving culture that emphasizes knowledge sharing and mentorship across distributed systems, high-availability design, and user experience for enterprise-scale AI
- Participate in team and company-wide office events; travel required
Our take
Whilst automation and AI are being applied to industries across the world, customers must still endure long waits and inconsistent service from telecom companies. 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 realistic, engaging conversation. This is done through its 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 ambitions to expand research and development, improve 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
62% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2022
$78m
SERIES B
Sep 2020
$27m
SERIES A
Total funding: $120m
Company benefits
- Company Equity: We view our employees as the true owners of Replicant and offer company equity.
- Health insurance: We offer a competitive package with health, dental, eye care, and retirement benefits.
- Remote-friendly: From the Bay to New Brunswick—we have employees across the world, so you can work wherever works for you!
- Frequent offsites: We take team-building seriously and love working side by side.
- Flexible vacation: Take a break when you need it so you can come back refreshed and ready.
- Sabbatical program: After you’ve worked at Replicant for 5 years, you are eligible to take a sabbatical for up to five weeks.
- Equipment stipend: All employees are set up with the essential equipment, but if you have special requests, you’re provided a stipend to cover these costs.
- Wellness stipend: We want employees to feel empowered to manage your fitness, health, and mental wellbeing so we offer a yearly wellness stipend.
Company HQ
Presidio of San Francisco, San Francisco, CA
Leadership
Gadi Shamia
(Co-Founder & 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
(Co-Founder & 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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