General Manager, Agent Management
Dataiku is hiring a General Manager, Agent Management for a remote role open to applicants in United States. Level rates it ; you can apply on Dataiku.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions AI agents among its tools and skills.
- Dataiku has 14 other open roles on Level.
- Posted in the last few days.
AI in this role
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Enterprises run AI agents across many platforms and vendors, and they need one independent place to see, manage, and control them. Agent Management gives them that. It is a product Dataiku just launched, in a category that is just forming. Dataiku is used by 25% of the Fortune 500, which gives Agent Management a route to market no startup in the category has. And because Dataiku is independent of any cloud, model, or application vendor, it can manage agents across all of them.
How you’ll make an impact
You will be the single-threaded owner of Agent Management: from first customers to $100M, with the mandate to get product, engineering, marketing, sales, services, and partners working to one plan. The category is new, and you will write the playbook for it.
You will report to the CEO and co-founder and work with the CTO and co-founder. You will have one direct report, the Head of Growth, Agent Management. Owners in Product, Engineering, Marketing, Sales, and Services stay in their teams, are accountable to you for this business, and meet in one recurring forum you run to review pipeline, launches, and blockers and leave with decisions.
You own the strategy for Agent Management (product priorities, packaging, pricing model, positioning), and you co-own the revenue number with the sales team.
In your first year, you will:
- Win the first paying customers, learn which problem makes them buy and who owns that problem, and turn it into a motion the field can repeat.
- Set the route to market across the installed base, new logos, partners, and OEM, with the CRO, the CMO, and Partnerships.
- Make the first win land fast: every new customer sees all their agents in one place within weeks of signing, and that win becomes their reason to expand.
- Agree release priorities with Product and Engineering for what your first customers need to expand.
- Position the category with Marketing and Analyst Relations.
What you’ll need to be successful
- You know how to build a plan to scale a business from zero to $100M, and you have carried the revenue number for one: a product line, a business unit, a new market, or a company you founded.
- You love pitching to technical buyers: platform, security, and AI governance teams.
- You get teams working toward one business goal, and you have results to show for it.
- You build the financial model yourself and can explain the product to a CIO.
- You decide fast on incomplete information, argue in the open (including with the CEO), and change your position when the data calls for it.
- You work AI-native. You run agents in your own work, so you know the problems our buyers face when their teams run agents on many platforms.
- You are US-based (or willing to relocate), and ready to travel to customers, partners, and Dataiku offices worldwide.
How we rate this
General Manager, Agent Management at Dataiku rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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