Product Manager, Replicant
Agent Experience
+ Equity
Call center AI chatbots
Open for applications
Call center AI chatbots
101-200 employees
Open for applications
+ Equity
101-200 employees
Company mission
To provide clients with an artificial intelligence solution that their customers enjoy speaking to.
Role
Who you are
- Systems Thinking: You can think structurally about how to design and connect various systems and touch-points to deliver a unified voice experience. You’ve likely worked on platforms or large-scale system integrations
- User centricity: You can understand the personas of our clients calling in, and craft great conversations that cater to their needs
- Strong Client Communication Skills: You’re comfortable presenting to clients, leading workshops, and explaining complex concepts clearly. You thrive in high-ambiguity, fast-paced environments and are confident navigating constant change
- API Fluency: You have a solid understanding of how APIs work and can design around their capabilities and constraints. You don't need to be an engineer, but you can think through technical dependencies
- Platform Mentality: You’ve built or contributed to systems where reusability, scalability, and architecture matter. You think beyond the single user flow and understand how the pieces fit together
- Prompt Engineering Skills: You know how to write and refine effective prompts for LLMs and understand how to tailor them for performance and consistency
- Experience with Data: You're analytical by nature and comfortable using tools like Tableau, Looker, or PowerBI to evaluate conversational outcomes. Bonus points if you know SQL, R, or Python
- Bias for Action: You’re self-directed, eager to learn, and don’t require extensive handholding. You’re comfortable taking initiative and adjusting course as needed
- Comfort with Ambiguity: You thrive in uncertain environments, thinking outside the box to find creative solutions when requirements are evolving or undefined
- 2–3 years of experience working on AI products or project for Enterprise clients
- BS/MS degree in Interaction Design, HCI, Information Systems, or a related field
- Demonstrated ability to build and launch systems, not just interfaces
- Public portfolio, GitHub, or examples of systems thinking in action (not just Figma screens)
What the job involves
- As an Agent Experience, Product Manager, you’ll play a key role in delivering great conversations in Replicant’s AI Agents that handle calls for our enterprise clients. Each of our AI Agents serves thousands of people every day
- Working closely with our customers and engineering teams, you’ll gather business, user, and technical requirements; analyse call recordings and agent training material to identify the personas and use cases we are solving for
- You will then work alongside our engineers to build the agent, and improve it post-launch with a data-driven roadmap
- You’ll also contribute to the roadmap and development of new AI products in our AI Agent platform to ensure that we deliver great conversations at scale and continue to push the boundaries of conversational flexibility and accuracy
- Own end-to-end AI Agent experience design, build, and roadmap, creating seamless, intuitive, and high-performing user experiences across use cases and industries
- Work directly with Replicant customers to deeply understand caller behaviour, business needs, and opportunities for automation
- Design AI-based, conversation-driven, and customer-facing experiences, including AI agents and other complex interactive applications
- Use Replicant’s no-code/low-code platform to build, iterate, and refine conversation flows throughout the implementation lifecycle
- Partner with Engineering and Engagement teams to define technical requirements and ensure successful system integrations and user outcomes
- Use analytics and visualization tools to track and improve AI Agent performance, owning success metrics during post-launch hypercare
- Help evolve our internal design standards and best practices through experimentation and data-driven iteration
- Collaborate with Product teams to evaluate and implement new features, tasks, and reusable assets into our AI Agent platform
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
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
- Health insurance
- Remote-friendly
- Frequent offsites
- Unlimited vacation
- Sabbatical program
- Equipment stipend
- Wellness stipend
Company HQ
Presidio of San Francisco, San Francisco, CA
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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