AI Enablement Engineer

#paid
#paid

This job is no longer accepting applications

See open jobs at #paid.See open jobs similar to "AI Enablement Engineer" Work In Tech.

Software Engineering, Data Science

Remote

USD 95k-100k / year + Equity

Posted on Jun 17, 2026
About Us
At #paid, we’re on a mission to empower creators to do what they love—create. Our marketplace connects vetted creators with some of the world’s most iconic brands, like McDonald’s, Samsung, and Disney, fostering authentic collaborations that drive real business results. We’ve built a marketplace that solves big challenges in the creator ecosystem, from fair pricing to algorithmic matching and content usage rights, ensuring every partnership is seamless and impactful.
With our proprietary technology and an unwavering commitment to trust and transparency, we’re revolutionizing the way brands and creators come together to make magic. Rated #1 for customer support and managed services, #paid is leading the creator marketing space. Through innovative technology and a team of ambitious humans, we're transforming the future of the creator economy.

The Role

    You'll partner with our commercial and business teams to transform how they work by identifying, designing, and deploying AI-powered automations. You'll spend your time understanding existing workflows, spotting opportunities for automation, and building solutions using Claude, Zapier, Forge agents, and custom scripts. Your work will directly enable our Sales, Strategy, and Customer Success teams to operate more efficiently and scale their impact.

Key Responsibilities

  • Map and analyze workflows with subject matter experts across commercial functions to understand current processes, pain points, and automation opportunities
  • Identify and prioritize manual, repetitive, or error-prone steps that are candidates for automation or elimination
  • Design and build automation solutions using Claude skills, plugins, Zapier flows, Forge agents, and scripts tailored to team needs
  • Deploy, maintain, and iterate on solutions based on feedback, ensuring they work reliably and deliver expected value
  • Document solutions clearly—what was built, why it was built, and how teams should use it—to support adoption and future updates
  • Lead and mentor a small team while continuing to carry personal projects that demonstrate technical execution

To Be Successful, You'll Need

    Technical & Tools

  • Hands-on experience with Claude and Claude Code
  • Familiarity with React, Golang, and Python (you'll read and write code in these languages, but not ship production software)
  • Ability to pick up new tools quickly without formal training; technical competency is leveraged for automation and problem-solving, not software engineering

    • Experience

  • Background in solutions engineering, technical operations, RevOps, or business analysis with a demonstrable bias toward building and shipping solutions
  • History of breaking down complex workflows and building automations (in any tool or language)
  • Experience working in cross-functional environments with non-technical stakeholders

    • Soft Skills & Ways of Working

  • Strong process thinking: you can ask the right questions to understand how work gets done and why it matters
  • Comfortable in ambiguity and able to navigate competing priorities without formal hierarchy
  • Collaborative and adaptable; you can partner with business teams while maintaining healthy boundaries around scope
  • Clear communicator who can explain technical solutions to non-technical audiences
  • Growth mindset: you view problems as learning opportunities and stay curious about new tools and approaches

About You

    You're pragmatic and outcome-focused—you care about building things that work and deliver value, not perfecting every detail. You ask good questions before jumping to solutions. You thrive when you have ownership and a clear mission, and you don't need a large team or formal structure to make an impact. You're technical enough to read code and build automations, but you're not primarily motivated by engineering challenges; you're motivated by enabling teams to do better work. You bring allies along the way and find joy in helping others succeed.
Equal Employment Opportunity
#paid is an equal opportunity employer and as such, we do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.
We are dedicated to growing a diverse team of highly talented individuals and creating an inclusive environment where everyone feels empowered to bring their best and authentic selves to work.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

95000 - 100000 USD a year

The pay range listed reflects base salary only. In addition to base pay, we offer additional forms of compensation for all roles, which may include variable pay (bonus or commission), stock options, and perks and benefits, depending on the role and location. We’ll discuss total compensation openly in our first conversation so there are no surprises when it comes time for an offer.
At #paid, we believe compensation should be transparent, fair, and grounded in reality.
Our compensation framework is built around clearly defined job levels based on seniority, expertise, scope of responsibility, performance expectations, and impact.
For all publicly posted roles, we share a clear compensation range that reflects the levels associated with the role and complies with applicable pay transparency laws. Candidates are hired into a specific level, and compensation is set at the base pay associated with that level. The posted range represents the span between levels, not a negotiable pay range.
When offers are made, they are presented at the compensation set for the level a candidate is hired into and are determined by experience, skills, and role alignment — not negotiation tactics or who asks first. This ensures consistent and equitable pay for team members in the same function and at the same level.

This job is no longer accepting applications

See open jobs at #paid.See open jobs similar to "AI Enablement Engineer" Work In Tech.
See more open positions at #paid