# Customer Success Engineer

**Company:** [Hedra](https://hotfix.jobs/companies/hedra)
**Location:** San Francisco, CA
**Role:** Support Engineering
**Experience:** 4+ years
**Skills:** Python, APIs, SDKs, Generative AI, world models, inference, Debugging, integration architecture
**Posted:** 2026-07-22

> Own post-sales technical relationships with API and inference customers at Hedra. Debug integrations, architect production deployments, translate customer feedback into product improvements, and drive adoption from pilot to scaled usage. Requires 4+ years customer-facing technical experience, hands-on Python/API skills, and curiosity in generative AI.

## Job Description

## Responsibilities
- Own the post-sales technical relationship for our API, agent, and inference customers, from onboarding and first integration through production deployment and expansion.
- Serve as the dedicated technical resource and advocate for developers and enterprise teams: debug API calls, review integration code, and guide customers to the optimal use of our models and platform.
- Architect and troubleshoot production deployments against real constraints, latency, throughput, cost per deployment, and reliability.
- Become one of the foremost technical experts on Hedra's platform, internally and for customers.
- Translate recurring customer pain points into concrete product proposals, working directly with engineering and product to ship fixes and features.
- Partner with Account Executives to drive adoption, surface expansion opportunities, and turn early pilots into scaled production usage.
- Build and maintain the runbooks, reference integrations, and docs that let customer success scale as we grow.

## Qualifications
- 4+ years in a customer-facing technical role, customer success or forward-deployed engineering, solutions engineering, technical support engineering, or software engineering with direct customer exposure.
- Hands-on technical ability. You can write Python that works, read and debug an API integration, and produce working sample code. You don't need to be a full-time engineer, but you're comfortable in a customer's codebase.
- Experience with APIs, SDKs, and developer-facing products, and comfort explaining integration paths and deployment tradeoffs to technical buyers.
- A track record of getting customers to production and keeping them successful, ideally with usage-based or consumption pricing.
- Excellent communication skills and the ability to earn trust with developers and the leaders who sponsor them.
- Demonstrated curiosity about generative AI, world models, and the inference and infrastructure that make them usable.
- BS or BA in computer science, a related technical field, or equivalent hands-on experience.

## Nice-to-Haves
- Startup experience.
- Self-starter driven to build impactful products that change the status quo.
- Understand operational costs and overhead, short and long term, and how they show up in a customer's deployment economics.

## Benefits
- Competitive compensation and equity
- Healthcare (Silver PPO Medical, Vision, Dental)
- 401K
- Lunch and snacks at the office

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