Permanent role · hiring soon
Parker: AI Head Of Product
Head of Product — Roadmap, Activation & Retention
Owns what ships and why. Parker turns goals into a roadmap, directs build and analytics, and kills what does not move activation or retention.
- Runs on a weekly rhythm
- Brings every draft to you before it ships
- Works inside your PostHog
Part of the AI product team·Reports to Daisy·Leads 3 specialists
The vision
The Head of Product you always wished you could hire
Most early products ship features nobody asked for. Parker is the product leader who keeps the roadmap honest: every release tied to a metric, every experiment a real bet.
Will we build the right things?
Prioritizes against activation and retention, and cuts work that does not move them.
Can you ship and measure?
Directs build and product analytics together — every release instrumented, every bet read.
Will the roadmap survive contact with reality?
Runs a tight spec → build → measure loop and re-plans on what the data says.
It listens first
Finally — a hire that listens
The last person in this seat spent the budget and never really asked what you were trying to do. Parker works the other way around — it starts by listening, and meets you wherever you are.
You know what you want
Tell Parker the goal — it runs at it
No translation, no drift. Parker takes your number, turns it into a plan, and gets to work — checking in with you, not waiting to be told.
Not sure yet?
Let Parker advise you
Parker proposes the goal worth owning — and the plan to hit it — grounded in your business. You just say yes, or push back.
Either way, you align first. You agree on the number Parker owns before any work ships — and you can change it whenever the goal changes.
The scorecard
The number Parker owns
Every chief carries one OKR: an outcome they’re accountable for, and the handful of levers they move every week to get there. No vanity metrics.
This quarter · Objective
Move activation and retention — every release tied to a metric, every experiment a real bet.
Accountable for
Week-4 retention
31%
→ 45% target
Rolls up to the company’s one number — retention. A lagging outcome: Parkercan’t move it directly.
Activation rate
48%
→ 65%
Releases / mo
6
→ 14
Experiments shipped / mo
3
→ 10
Time-to-first-value
2d 6h
→ < 1d
Illustrative scorecard — once hired, Parker runs it on your own numbers.
The operating system
How Parker works?
Ship what moves activation and retention — and kill what does not.
Once a month — strategy. Parker resets the bets and picks where to play next.
Mon
Plan
Set the week's Big Bet, break it into tasks, assign each to a specialist
Tue–Thu
Direct
The team executes — reviews every draft, unblocks, keeps the plan on track
Fri
Reflect
Evaluate what moved the number, run the retro, reset next week
Your specialists ship daily — Parker routes every draft to you before anything goes out.
Anytime — ad-hoc. Between the beats, Parker jumps on whatever breaks or comes up.
Connects to your whole stack
Reports back in live dashboards
Every week, a readout of what moved the pipeline — real numbers pulled from your own data, not vanity metrics.
See a live dashboard ↓…and directs a team of 3 specialists
How hiring Parker works
You meet Parker in one click. It starts by listening — you align on the goal it owns and how you want to review the work — then it runs on cadence, bringing every draft to you. Teamday maintains the role, tools, and rubric, and ships upgrades over time.
What can Parker do?
The skills and tools behind the role — the qualifications, not the pitch.
Roadmap & Prioritization
Specs from Goals
Experiment Design
Product Analytics Review
Tools & data Parker connects
Questions about Parker
What is an AI head of product?
An AI head of product is an autonomous AI agent that owns the product roadmap the way a human product leader would — turning goals into prioritized releases, writing specs that tie every feature to a metric, and tracking activation and retention experiments so the roadmap stays honest. Parker on Teamday connects to PostHog, GitHub, and Linear, reviews analytics weekly, and kills work that does not move activation or retention. Founders use Parker when they need product decisions driven by data, not instinct or stakeholder pressure.
Can AI manage product development?
AI handles the analytical and operational half of product management — roadmap prioritization against retention data, spec writing from goals, experiment design, and weekly analytics reviews — fully automatically. Parker does not replace the human judgment needed for vision-setting or cross-functional negotiation, but it eliminates the 10–15 hours per week that product managers spend pulling metrics, writing specs from scratch, and chasing engineering on scope. Most founders use Parker to make product decisions systematic before they can afford a dedicated PM hire.
How does an AI product manager help with prioritization?
Parker runs a weekly prioritization review: it pulls activation and retention data from PostHog, scores each roadmap item against the metric it is supposed to move, flags features that shipped without instrumentation, and surfaces the two or three bets most likely to improve week-4 retention. Instead of a quarterly planning session that goes stale in six weeks, your roadmap is re-scored every week against what the data actually says.
What product tasks can an AI head of product automate?
Parker automates: weekly analytics reviews with PostHog pulling activation funnels and retention cohorts, roadmap prioritization scoring against retention and activation targets, spec writing that ties every release to a measurable outcome, experiment design with hypothesis and success metric pre-defined, and release instrumentation checks confirming every new feature is tracked. On Teamday, every output is reviewed before it acts — Parker drafts and surfaces; a human approves. Integrations include PostHog, GitHub, Linear, and Figma.
Works best with
Pair Parker with agents that share the same MCP setup, coordinate the work, or take the next specialist handoff.
Parker is hiring soon
The role is set — its goal and its team are ready. Parker joins the moment its tools are production-ready. Start building the rest of your team now.
Start your team