Product Owner / Product Manager

Scale Army Agents builds AI agents — voice, SMS, and chat — for U.S. clients. Today most of the "product" lives in the heads of the AI enablement team and gets rebuilt, largely from scratch, on every engagement. That works for a handful of pilots. It does not scale.
This role exists to turn repeated custom agent builds into a coherent, reusable product: owning the backlog, the requirements, and the feedback loop between clients, delivery, and engineering — so SAA can grow beyond bespoke one-offs without quality, margin, or timelines slipping.
This is an execution-led product role. You will own the how and the when, contribute heavily to the what, and grow into the why. Strategy and vision sit with the Head of AI Enablement and leadership; your job is to make that vision shippable, repeatable, and measurable.

Where this role sits
You are the connective tissue between four groups that currently coordinate informally:

• AI Enablement / Engineering — who build the agents. You spec for them and protect their focus.
• Delivery — who run client engagements. You hand off build-ready, QA'd agents and absorb field feedback.
• Revenue — who sell. You sit in discovery calls, scope what's feasible, and feed real client problems back into the roadmap.

• Ops / Finance / Compliance — who own margin and risk. You make feature decisions that respect unit economics and U.S. regulatory constraints.

  What you'll own (core — Product Owner)

• Backlog & sprint ownership for both the agent platform and per-client builds. Plan, prioritize, run standups and reviews, keep delivery on track.
• SOF → requirements translation. Take a signed Statement of Functionality (across SAA's agent types) and turn it into crisp user stories, conversation/flow designs, and acceptance criteria engineering can build against.
• The agent template library. Maintain the line between reusable and bespoke. After every build, ask: what here becomes a template? You are the person accountable for that ratio improving over time.
• Pilot instrumentation. Define success criteria up front, instrument the metrics, and drive pilots toward conversion (the Biz2Credit-style "convert on success criteria" model is the pattern to standardize).
• Agent QA. Own behavioral quality — does the agent do what the SOF promised? — before anything reaches a client.
  
  What this role is NOT (read this before applying)
• Not Head of Product. Vision and strategy stay with leadership. If you need to own the company's product direction, this isn't the seat — yet.
• Not pure delivery/project management. There's overlap, but the mandate is product: converting work into reusable assets and improving the build-once-sell-many ratio. Shipping tickets cleanly is table stakes, not the goal.
• Not an engineering or prompt-engineering role. You won't build the agents. But you must be technical enough to spec precisely for those who do.

Must-haves (calibrated to 3–5 years)

• 3–5 years as a Product Owner or Product Manager, ideally in B2B SaaS, services-tech, or AI/automation.
• A track record of shipping real products with engineering teams in an Agile/Scrum environment.
• Strong written and spoken English; genuinely comfortable client-facing with U.S. companies.
• Analytical fluency: funnels, conversion metrics, and at minimum spreadsheet-level (ideally SQL-level) comfort with data. You should want to look at the numbers.
• Requirements rigor: you write specs, stories, and acceptance criteria that leave little room for misinterpretation.
• High tolerance for ambiguity and early-stage build — comfortable defining a process rather than inheriting one.

Strong nice-to-haves

• Hands-on exposure to LLMs, conversational AI, voice agents, or chatbot products.
• Experience in a services-to-product transition (taking bespoke client work and productizing it).
• Awareness of U.S. compliance constraints that shape what's buildable — TCPA (SMS/voice outreach) and HIPAA (any client handling PHI).
• Bilingual English/Spanish (the team operates across LATAM and the U.S.).
• Domain familiarity in lead generation, sales automation, or CRM ecosystems.

Application Process:

To be considered for this role these steps need to be followed:

• Fill in the application form
• Record a video showcasing your skill sets