Customer Success Engineer

present of AI; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Present of AI is seeking a post-sales professional to own the customer relationship after contract signing in a B2B SaaS context. You will set up integrations and tune data protection policies, handle support, and drive renewals and expansions with a focus on clear, effective communication.

The role requires a few years of post-sales experience, technical ability to debug login and API integrations, and the confidence to engage with security engineers.

Qualifications

• A few years of post-sales experience in a B2B software company is required.
• Technical enough to debug login and API integrations and talk with security engineers.
• Ability to own renewals and expansions and write clearly for customers.

Responsibilities

• Own the customer relationship after contract signing.
• Set up integrations and tune data protection policies.
• Handle support and drive renewals and expansion numbers.

Skills

Post-sales experience

B2B SaaS

Technical debugging

API integrations

Clean written communication

Tools

OAuth

SSO

Job description

This role owns the customer relationship after the contract is signed, from setting up integrations and tuning data protection policies to handling support and driving renewals. A strong candidate has a few years of post-sales experience at a B2B software company and is technical enough to debug login and API integrations and talk with security engineers. They also take ownership, write clearly, and are comfortable being responsible for renewal and expansion numbers.

How it fits the AI era

The product exists because employees now paste sensitive data into AI tools, so customers are asking new questions and the work shifts toward helping them set sensible rules for AI use. The role also expects AI agents and automation to handle repeat support and documentation tasks, which frees time for harder problems. What stays human is earning trust with security teams, judging which policy fits a customer, and turning messy complaints into clear product feedback.

How it builds AI experience

Day to day, this means seeing how companies protect data across tools like Claude, ChatGPT and Copilot, and across AI agents and MCP servers. There is also hands-on practice building AI-driven playbooks, docs and health scoring for customer success. For someone building the background, trying out DLP policies on AI tools and automating support workflows would be a good start.

Worth showing

• Debugging OAuth and SSO integrations
• Customer onboarding in B2B SaaS
• Renewal and expansion results
• Support automation with AI tools

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Strac

Real-time data loss prevention and data security posture management platform protecting SaaS, cloud, endpoints, and generative AI apps, per the company.