Datawizz
Founding GTM
San Francisco · Exec
Sponsorship not specified$50k-$500kDetected 101 days ago
SnowflakeProduct ManagementProduct StrategyOutbound Sales
About the role
- You'll sit shoulder-to-shoulder with customers, understand their workflows deeply, and turn those insights into product feedback that shapes our roadmap.
- Feed insights into product: you'll be the closest person to how customers actually use Datawizz, and you'll turn that into clear, prioritized input for the product roadmap
- This role is in-office in San Francisco, 5 days a week.
Responsibilities
- Datawizz is building the agent workforce.
- We're hiring people who want to build, not manage.
- Build your own agents that automate your workflows and multiply your leverage
- prospect, demo, and close when it makes sense, and help us build the playbook as we go
Requirements
- Have 2-7 years of experience as a founder, AE, solutions engineer, or early-stage GTM operator, or equivalent output.
Compensation
- $50,000 to $500,000)
- Competitive salary, based on experience level (Annual compensation range: $50,000 to $500,000)
Benefits
- Meaningful equity
- monitor account health, find new teams and use cases, and grow our footprint inside every account
Company info
- Have a track record of getting customers live and expanding accounts, not just managing them
- We're a seed-stage team backed by Human Capital (SpaceX, Snowflake, Anduril) building a platform that helps enterprises build and deploy agents with the right permissions, guardrails, and activity logging to actually ship within companies.
- Early customers are already automating several hours of their workday.
- Your core job is to get customers live, build agents for them, and grow our footprint inside every account.
- run onboardings and build agents and workflows alongside customers on the platform until they hit real value
- Own customer activation: run onboardings and build agents and workflows alongside customers on the platform until they hit real value
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This listing is sourced directly from Datawizz's careers page and normalized into a canonical job model.