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Favia is seeking a Growth Workflow Manager (Performance & Paid Growth) to design and deploy automated growth pipelines that leverage AI systems. You will define signals, guardrails, and the feedback loop across paid channels, then work with engineers to implement them.
You will own automation specs, QA outputs, and refine AI-generated creatives, while expanding automation across CRO, incentives, referrals, and lifecycle.
Performance marketing is being rebuilt from first principles. The manual processes of bid management, creative iteration, budget allocation, and audience targeting are being replaced by agent systems that detect signals, make decisions, and execute continuously, learning from every result. This is not incremental improvement. It is a different model.
As Growth Workflow Manager (Performance & Paid Growth), you sit at the intersection of paid growth expertise and AI systems thinking. You are the domain expert who makes the automation intelligent. The engineers build what you spec. The agents run what you design. Your job is to define the logic, what signals matter, what decisions should be automated, what guardrails must exist, what the creative feedback loop looks like across paid channels, and then work alongside the build team to bring it to life.
While your primary focus is performance and paid growth, you will also contribute to automating other growth levers, including CRO, incentives, referrals, and cross-channel workflows, as the engine expands. The domain expertise is your anchor. The systems thinking is what scales it.
This role is for someone who has run growth at scale and found themselves constantly asking why are we doing this manually. If you've felt the ceiling of what human-operated paid growth can achieve and want to build the system that breaks through it, this is that role.
Define and spec automation workflows for paid growth, from creative fatigue detection to budget reallocation to geo level channel mix optimization to audience signal processing
Work directly with the build team to translate your workflow specs into working agent automations
QA agent outputs, review what the system produces, identify where it falls short, and define the corrections that improve it
Refine creative and copy variants generated by the AI creative layer, applying domain judgment to what will perform before the data confirms it
Define knowledge base inputs for the paid growth agents, what rules, guardrails, and campaign logic should be codified and kept current
Monitor workflow performance and continuously improve, this system compounds with your input, it does not run itself
Extend your systems thinking to other growth levers, CRO, incentives, referrals, and lifecycle, as the engine expands across growth functions
4+ years in performance or paid growth, you have run campaigns at scale across major paid channels and understand the mechanics deeply
Systems thinking, you can map a growth workflow as a series of triggers, decisions, actions, and measurements. You think in logic, not just tactics
Comfort with data, you can read a performance dashboard, interpret signal from noise, and define what an agent should optimize for
Prompt engineering curiosity, you don't need to be an engineer, but you are willing to learn how to communicate with AI systems precisely and improve their outputs
Strong written communication, the workflow specs you write become the blueprints engineers build from. Clarity matters.
High agency, you define the work, you don't wait for it to be defined for you
Experience with marketing automation, CRM, or lifecycle messaging systems
Exposure to A/B testing and experimentation frameworks
Background in fintech, consumer financial products, or regulated industries
Any hands-on experience with workflow automation or no-code orchestration tools
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.