Director of Revenue Operations, Replicant
Call center AI chatbots
Job no longer available
Call center AI chatbots
101-200 employees
Job no longer available
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
- BA/BS or equivalent working experience, with at least 5 years experience in a sales and/or marketing operations related role
- You are able to structure and process qualitative and quantitative data and draw insightful conclusions from it
- You like working with data and insights, and you pair that with your understanding of the broader business to generate balanced and thoughtful points of view for how to better support company objectives
- You are able to manage highly interdependent, complex projects and keep various work streams on track
- You are keen to learn about how things work and are not afraid to dig into the details of our technology stack
- This role will collaborate closely with Sales, Marketing, Customer Success and Finance teams
What the job involves
- We are seeking a Director of Revenue Operations to join our rapidly growing company and build out the Revenue Operations function from the ground up!
- The Director of Revenue Operations will work with marketing, sales and other executives, including the CEO, to better understand and improve the key drivers of our business
- They will work on building and managing our Marketing tech stack, conduct analyses that will be used to inform strategic decisions by stakeholders from across the company, and optimize our campaign processes to make our team more efficient and effective
- Your role requires both strategic planning and tactical execution, and involves close collaboration across the organization
- Reporting & Analysis: Help identify key KPIs for the business. Develop and manage the processes for monitoring, measuring, and analyzing the effectiveness of GTM initiatives. Leverage data to improve the impact and efficiency of our programs- including digital channels such as advertising. Field ad hoc requests for analysis and reporting across the Marketing, Sales and the broader executive team
- Account Targeting Strategy: Work cross-functionally to help build and operationalize a tiered target account list and approach for our target accounts
- Sales & Marketing Alignment: work closely with the marketing and BDR teams to help establish rules and processes for inbound and outbound lead flow, maintain account/contact hygiene and support account planning across the marketing, sales and CS teams
- Database Management: Monitor and maintain data quality within the marketing database and work with the saleswith the sales team to establish best practices around data cleansing and hygiene
- GTM Technology Stack: Evaluate existing technology stack and recommend key sales and marketing systems to generate interest, prioritize follow-up, and report on performance
- Budgeting: Define and own the budgeting process for the GTM team
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: 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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