Agentic Operations Engineer
Full Job Posting
Primary Responsibilities:
Identify the highest-leverage business problems within an assigned business unit (P&L lines, operational bottlenecks, customer pain points)
Build and ship working AI solutions on the agentic operating system against those problems, prototyping fast rather than proposing and waiting for permission
Encode BU domain knowledge into structured skills and context files precise enough for an AI agent or new hire to act on autonomously
Drive adoption by demonstration — evangelizing working demos to skeptical stakeholders rather than pitching theory
Change positions based on evidence (data, usage, logs), including publishing unflattering results
Operate with resilience under resistance, absorbing skepticism and turf issues while maintaining momentum
Deliver measurable before-and-after outcomes from a personally-led transformation
Skills & Competencies:
Domain fluency in at least one of: finance, operations, customer support, or engineering
Daily, hands-on use of AI as an operator — able to demonstrate live agents, automations, or skills libraries in production
Ability to cross disciplines without waiting for permission (e.g., a finance professional who codes, a support lead who builds their own tooling)
Strong written communication; able to produce specs and context documents that stand alone without the author present
High learning velocity — able to pick up new domains in days, not quarters
Comfort operating at pace under ambiguity, without stalling for perfect information
Evidence-driven decision-making; willingness to question and challenge process for the sake of speed and truth
Minimum Qualifications:
- Demonstrated personal experience transforming a process, department, or product, with measurable before-and-after results.
- Proven, current, hands-on experience using AI tools and agents in a production or business context, with demonstrated practical application rather than theoretical or credential-based knowledge.
- 1–3 years of software development or programming experience, with the ability to build, test, and implement practical solutions.
- 3+ years of operational experience, with a track record of improving business processes, driving execution, and delivering measurable outcomes.
- Experience operating across business, technology, and people disciplines rather than working exclusively within a single functional area.
- Track record of shipping early-stage, functional solutions and iterating based on feedback, rather than waiting for a fully polished product.
- Comfort embedding within an operating business unit, working autonomously with minimal day-to-day supervision to identify opportunities and deliver results.
- Master’s degree in Data Science, Statistics, Artificial Intelligence, or a related quantitative or technical field.
- Salary range: $130,000–$150,000 USD
- Fullsteam supports an inclusive workplace that values diversity of thought, experience, and background. Fullsteam is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state, or local law.
About Fullsteam
Private vertical software acquirer and embedded-payments platform serving small and midsize businesses across specialized industries.
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