Staff Product Manager, Platform

Within; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Employer-paid medical, dental & vision

Parental leave

Learning fund

Wellness fund

401k via Betterment

Relocation support to SF Bay Area

BART/Caltrain transit perk

Lunch program

Snack Central

Bike room

Job summary

Within is seeking a senior product leader to scale an AI-native product-ops layer, coordinating product pods, and driving faster, better-informed decision making across GTM, Value Delivery, and engineering. You will shape context, dashboards, and release communications while aligning executives with what is shipping and what is landing.

The role demands 7+ years in B2B SaaS or AI platforms, strong systems thinking, and fluency in data instrumentation.

Qualifications

• 7+ years in product at B2B SaaS or AI-platform companies
• A systems thinker who works across the whole org
• A translator between GTM and engineering
• A connector and a clear writer
• Fluent in data and instrumentation (SQL, analytics tooling)
• A discerning filter who protects the org from noise
• AI-native systems builder who orchestrates multi-person workflows

Responsibilities

• Define and delegate work across multiple product pods, run an AI-native product-ops motion
• Prioritization and resource allocation across pods
• Develop the context-and-metrics layer with dashboards and monitoring
• Oversee GTM, engineering, and customer communication loops
• Provide product signal with usage insights to leadership and teams

Skills

Product leadership

Cross-functional leadership

Information architecture

Translator between GTM and engineering

Data and instrumentation

AI-native systems builder

Writer and communicator

Tools

SQL

BI tooling

Job description

About Within
Tldr on us: Series B, $91M raised, 7x growth last year.

Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that.

Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously.

ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence.

OpenAI, Google, DoorDash, and Stripe use Within to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch.

We move fast, reward agency, and care deeply about our customers, our team, and our mission.

The Opportunity

Enterprises are trying to transform themselves with AI, and most are failing at the same step: making AI actually useful inside real, messy workflows. That is the problem Within exists to solve, and it is the single biggest bottleneck in enterprise today.

As our product org scales, the constraint is no longer ideas. It's orchestration: getting the right context to every pod, measuring what we ship, and keeping GTM, Value Delivery, and customers moving in lockstep with engineering. This role owns that connective layer. Your job is to make the entire product org faster, better informed, and more decisive.

What You'll Own

• The agentic operating system for product and engineering. Define and delegate work across multiple product pods, run an AI-native product-ops motion, and build the agentic loops and context flows, our own Company Brain turned inward on the product org itself, that keep pods moving without stepping on each other, and increasingly, let agents pick up pieces of that work directly.

• Prioritization and resource allocation. Continually answer "are the pods picking up the right priorities?" and reallocate when they aren't.

• The context-and-metrics layer. Dashboards and monitoring of customer usage and engineering productivity alike, with qualitative and quantitative signal combined continuously, through the same agentic flows you build, so every pod makes higher-quality decisions.

• The GTM, engineering, and customer communication loop. Release communications, rollout and enablement for GTM and Value Delivery, and co-ownership of customer-facing product documentation.

• Product signal for the rest of the company. Get usage insight to the teams who can act on it, for example notifying an AE the moment a customer starts using MCP, and give leadership a clear, current read on what's shipping, what's landing, and what's stuck.

What We’re Looking For

• 7+ years in product at B2B SaaS or AI-platform companies, at staff-level scope. Cross-functional influence and organizational impact, with real exposure to information architecture, cross-product strategy, and complex enterprise stakeholders.

• A systems thinker who works across the whole org. You see how a decision in one pod ripples into three others, and you design the process, context, and metrics that keep them coherent. You've imposed order on cross-team chaos before: prioritization frameworks, operating cadences, or context systems that made an org measurably faster.

• A translator between GTM and engineering. You're as comfortable in a customer conversation or a QBR as in a spec review. You turn messy field input from Sales and Value Delivery into product signal, and product changes into rollouts that customers and internal teams can absorb.

• A connector and a clear writer. You connect easily with people across very different backgrounds, from executives to salespeople to engineers, and you make excellent first impressions. You compress ambiguous customer, GTM, and stakeholder input into clear, prioritized direction, and you write the release comms, enablement, and prioritization narratives that align engineering, design, GTM, and executives. You push back with evidence, not authority.

• Fluent in data and instrumentation. SQL, product instrumentation, and modern analytics and BI tooling. You cut through entropy to find the metrics that actually matter, and you've built dashboards people genuinely used. Note: this is not a data-platform architecture role; we're hiring for that separately.

• A discerning filter. You say no, you protect the org from noise, and you have both the judgment to know which priorities matter and the credibility to redirect a pod.

• AI-native systems builder. Automating your own workflows is table stakes. You build the agentic systems that orchestrate the work of multiple people at once, prototype to think, move at a pace that would be impossible manually, and understand the operational complexity that LLM-based products add.

Benefits:

• Equity in addition to competitive cash compensation

• 100% Employer-Paid Medical, Dental & Vision options!

• Paid Parental Leave

• $500 Annual Learning Fund

• $150 Monthly Wellness Fund

• 401k via Betterment

• Relocation support to San Francisco Bay Area (where applicable)

• Office-related Perks:

  • BART or Caltrain to the office?: Contribute pre-tax funds to a Parking & Transit account, and you will never be taxed for it!

  • Lunchtime, Leveled Up: Enjoy curated local eats delivered to the office daily to enjoy with the team over an engaging conversation

  • Snack Central: Drinks and snacks for every craving - from healthy bites to Within team favorites.

  • Safe & Secure Bike Room: Commute in and safely store your bike.

Within is an equal opportunity employer. Within provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.