[Hiring] Outcomes Architect @Docket Inc

Role Description

Docket is the AI Marketing Agent platform helping B2B marketing teams move past the broken MQL model. Our agents engage buyers in real conversations, qualify intent using our proprietary Sales Knowledge Lake™, and surface Agent Qualified Leads (AQLs), a far better signal than form fills and lead scores.

We're building the category of agentic marketing. We need an Outcomes Architect to make sure every customer gets measurable pipeline, value and ROI from it.

AI agents don't need adoption. Nobody has to be trained to log in, so the traditional CSM job of driving usage doesn't apply here. What our customers need is a strategic partner:

• Someone who understands their business, their role and the problems they're trying to solve.
• Someone who helps them decide which outcomes matter, measures them, changes the approach when the numbers fall short, and knows where to double down when they work.

That's an Outcomes Architect. The role is closer to strategy consulting than account management, with real technical depth underneath. You'll own customers from pilot kickoff through renewal and expansion, and you'll be measured on the results they get.

What you'll own

• Your customers, end to end.
• Typically 4–5 active pilots and 10–15 annual customers.
• The outcome, not the relationship.
• Retention and growth.

What you'll do

• Set the bar at kickoff: Agree on success criteria and a baseline with every customer, and deliver the business outcomes they bought Docket for, from pilot through renewal and expansion.
• Design and tune the agents: Prompts, qualification logic, routing rules and agent behavior.
• Connect the stack: Integrate agents with HubSpot, Salesforce, Clay, Gong, webhooks and APIs, and trace where leads get lost.
• Find the signal: Analyze conversation and visitor data to see what's converting, what's leaking and what the market is asking about.
• Drive the decision: Turn analysis into clear recommendations for CMOs and demand gen leaders, and walk them through what to change.
• Grow the account: Spot the next agent or use case each customer needs, and build the business case for it.
• Shape the product: Bring customer feedback to Product with evidence, not anecdotes.
• Run on AI yourself: Build the workflows, prompts and automations that let you manage a full portfolio without drowning in it.

Qualifications

• 4+ years in B2B marketing, demand gen, growth or marketing ops.
• Experience owning pipeline, MQL or conversion targets.
• AI-native, with real process rebuilding experience using AI.
• Hands-on prompt engineering or conversational AI work.
• Technical skills without an engineering title.
• Experience in an AI-native or early-stage SaaS company.
• Experience working with US customers.
• Ability to communicate truthfully with executives.
• Ability to thrive when the goal isn't fully defined.

Nice to have

• Experience selling or implementing marketing automation or martech.

How we interview

Come ready to show something real you built with AI: a prompt, an agent, a workflow or an automation. Walk us through the problem it solves, how you built it, what broke along the way, and how you know it works. No-code builds are welcome. An engineering background isn't required.