Enterprise Customer Success Manager
Tavily is hiring an Enterprise Customer Success Manager. Level rates it ; you can apply on Tavily.
Level's read on this job
- On Level's scale, this customer service role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions LangChain, RAG and AI agents among its tools and skills.
- Tavily has 17 other open roles on Level.
AI in this role
About Tavily
We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.
We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role
As an AI Outcomes Manager at Tavily, you will serve as the trusted advisor and bridge between Tavily and our enterprise customers. You’ll guide customers through their entire journey, starting from onboarding and implementation, through ongoing adoption and enablement, to renewal and expansion. You are both a relationship builder and a product expert, ensuring our customers unlock the full power of Tavily’s AI-powered search platform.
In this role, you will become a strategic partner, engaging with executive sponsors and consulting customers on the development and execution of their AI/agentic roadmap. You’ll work closely with architects, and technical teams to define how LLMs, intelligent search, and autonomous agents can be integrated into their workflows and long-term strategy. By helping customers design scalable AI adoption plans and navigate the rapidly evolving landscape, you’ll position Tavily not only as a product provider, but as a critical driver of their competitive advantage. At the same time, you’ll act as the customer’s advocate internally, shaping product direction and influencing innovation to ensure Tavily continues to deliver maximum value.
What You’ll Do
Serve as a trusted partner, guiding customers through onboarding, implementation, and long-term adoption of Tavily’s AI search platform
Lead onboarding engagements by ensuring smooth integration, connectivity setup, and value realization across customer projects
Develop and deliver scalable onboarding materials: tutorials, “cookbooks,” best-practice guides, reference implementations
Proactively monitor customer health, usage metrics, and adoption signals to identify churn risk and expansion opportunities
Work cross-functionally with Sales, GTM Engineering, and Product to ensure seamless customer journeys
Be the voice of the customer, synthesizing feedback to influence Tavily’s product roadmap and developer experience improvements
Shape the future of the post-sale experience at Tavily
What We’re Looking For
5+ years in technical, customer-facing roles such as Customer Success, Customer Success Architect, Implementation Consultant, or Renewals Account Manager, preferably in B2B SaaS
Proven experience working with technical users of developer tools or modern AI/LLM-based platforms. Comfort navigating complex technical conversations with both developers and business stakeholders is required
Outstanding communication and presentation skills; capable of building rapport across technical and executive audiences
Strong commercial instincts, with experience managing renewal cycles, forecasting, upsell/cross-sell, and using CRM tools (e.g. HubSpot, Salesforce) for pipeline and customer tracking
Deep empathy for customer outcomes, and a passion for helping users extract maximum value from our technology
Self-driven and able to thrive in fast-moving, ambiguous environments while managing multiple priorities with high autonomy
Bonus: Familiarity with AI/LLM orchestration (e.g. LangChain or similar) is a plus
Perks & Benefits
Full-time employees at Tavily enjoy:
A young, open, and inclusive culture where everyone has real impact from day one
The chance to build alongside a fast-moving team at the forefront of agentic AI
Daily team lunches, plus fully stocked snacks to keep you energized
Full medical, dental, and vision insurance to keep you feeling your best
A deep-work culture that values curiosity, creativity, and continuous learning
How we rate this
Enterprise Customer Success Manager at Tavily rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in customer service jobs at this level
Pay
- Typical customer service job
- $100k
This posting doesn't list pay. Use the typical customer service figure when pay comes up. See customer service jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of LangChain that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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