Sales Operations Manager, Ikigai Labs
Office located in San Mateo, CA
Generative AI for tabular data
Job no longer available
Generative AI for tabular data
101-200 employees
Job no longer available
Office located in San Mateo, CA
101-200 employees
Company mission
Ikigai's on a mission to bring AI to everyone.
Role
Who you are
- 3+ years direct experience in Sales & Revenue Operations
- Expertise in sales tech stack administration (Salesforce, ZoomInfo, SalesLoft, etc)
- Experience in deal operations – pricing processes, order form generation, light commercial legal operations (NDAs etc)
- Ideal candidate has experience across direct sales, partner channel sales, self service commerce and renewal operations
What the job involves
- We are currently seeking a Sales Operations Manager for our growing organization
- The Ikigai Sales Operations Manager is a linchpin position on the Ikigai revenue team, assuring operational sanity in a fast-paced sales environment, while building infrastructure that enables the company to scale
- The job is highly collaborative across all customer-facing teams and operates in close partnership with Marketing Operations, Commercial, Legal and Finance
- The highest likelihood for success is in a team member who can work in person with our go-to-market team in either San Mateo, CA or Cambridge, MA
- Light travel may be required (annual Sales Kickoff, potentially annual team off-sites)
- Manage commercial relationships and application administration of our sales tech stack (Salesforce, ZoomInfo, SalesLoft, etc). Maintenance and cleanup of databases may be required. Strong Salesforce skills are a must
- Critical leadership of our revenue data reporting, analytics and insights. Good if you can run reports and dashboards, great if you can drive operational improvement based on the insights this data provides
- Partner with Account Executives and Sales Leadership on deal mechanics (pricing, discounting and other negotiables)
- Assist in Sales Enablement – how is our sales and marketing data driving further clarity around target industries, personas, budgets and deal dynamics?
- Drive experimentation and iteration around sales processes including direct sales stages, partner deal management (deal registration), and renewal processes
- Rabid and contagious enthusiasm for eradicating unnecessary friction is paramount
Our take
Business is increasingly data-driven, but the sheer amount of data companies now handle poses major challenges in organizing, analyzing, and making use of that information. Ikigai Labs aims to make data accessible, providing a no-code platform which uses AI to connect disparate data sources and organizes and optimizes the information for scenario planning, forecasting and use in enterprise applications.
Ikigai isn’t the only company using AI to make sense of data, but it stands out with its graphical modelling approach as opposed to the prevailing large language models used by competitors such as Hugging Face and Daitaku. Graphical modelling is well suited to mapping out relationships using enterprise data (which is usually tabular) and is far less expensive to operate than large language models. These advantages have led to Ikigai’s platform being used by thousands of data teams from major companies such as IBM, Honeywell, and FedEx to name just a few.
With substantial funding to its name, Ikigai is ready to further develop its product and scale its team. While it faces intense competition, its focus on enterprise data needs seems likely to help it stand out from the pack and will stand it in good stead over the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Aug 2023
$25m
SERIES A
Dec 2021
$13m
SEED
Total funding: $38.3m
Company HQ
Civic Center, San Francisco, CA
Leadership
Vinayak Ramesh
(Co-Founder & CCO)Initially the CEO of Ikigai before moving to the role of CCO in 2024. Previously co-founded and was CTO of Wellframe. Holds a Master's of Engineering from MIT.
Devavrat Sha
(Co-Founder & CEO)Initially the CTo of Ikigai before moving to the role of CEO in 2023. Previously co-founder and Chief Scientist of Celect. PhD in Computer Science and Post Doc from Stanford University.
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