Within Logo

Within

Senior AI Product Manager

Posted 7 Days Ago
In-Office
San Francisco, CA, USA
220K-280K Annually
Senior level
In-Office
San Francisco, CA, USA
220K-280K Annually
Senior level
Own AI product areas end to end, from customer discovery and problem definition through prototyping, PRD development, engineering collaboration, launch, and measurement. Build AI-native product experiences, account for probabilistic model behavior and failure modes, establish feedback loops, conduct customer interviews, and drive technically complex generative AI features to measurable outcomes.
The summary above was generated by AI

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

The hardest and most interesting problem in enterprise right now is making AI actually useful inside real, messy workflows. Most enterprises are failing at exactly that step, and it is the single biggest bottleneck standing between them and an AI transformation that works. At Within you’ll own the product surfaces where that gets decided: turning complex AI capabilities into experiences customers love, and doing it fast.

This is a full-stack builder role. You’ll own meaningful product areas end to end, from discovery through delivery, working directly with our CTO, engineering and design leads, and GTM, with the autonomy to define a problem, prototype the answer yourself, and ship it. You understand what’s under the hood, you write specs that don’t need translation, and you stay in the room through launch. To be clear, we are not hiring an engineer: the bar is expressing an idea in shippable form, not production-grade code.

What You’ll Own
  • Core AI product areas with real scope. Define the problem, prioritize ruthlessly, write a crisp PRD in a day or two, and drive features from concept to production.

  • The prototype that settles the argument. Build working prototypes with AI tooling to validate a direction before engineering commits.

  • Discovery. Run customer interviews yourself and turn field feedback from Sales and Value Delivery into structured insight rather than anecdotes.

  • The engineering and design partnership. Be the PM engineers trust for clear requirements and fast, principled decisions, and reason through real tradeoffs alongside them: should ABAC be applied at the process-index level, and what are the consequences?

  • Concrete surfaces to own. Companion, AI Interviewer, Advisor, the agent repository: real, shipping product areas, not hypothetical roadmap items, that are yours to define and drive.

  • AI-native behavior in the product. Set user expectations for probabilistic systems, design the feedback loops, and account for model failure modes.

  • The outcome. Define success metrics up front, instrument, and close the loop on everything you ship, then present it to the whole team and to customers with clarity and confidence.

  • Room to grow with the team. We move fast and stay agile, so what you own today is a floor, not a ceiling: ownership expands and shifts as you prove it out.

What We’re Looking For
  • 5-8 years in product management. B2B SaaS or AI-platform background preferred, with a track record of shipping technically complex products to measurable outcomes.

  • A builder with real product instincts. You ship working prototypes with AI tooling (Cursor, Claude Code, v0) to validate a direction rather than waiting on engineering capacity. Links to things you’ve built are a strong plus.

  • Technically credible. You collaborate on architecture diagrams, reason about system tradeoffs, are comfortable with SQL and API documentation, and can raise a simple PR. Engineers trust your requirements.

  • Shipped Gen AI, not traditional ML. You’ve built generative AI features that found product-market fit, and you know the tradeoffs of probabilistic systems: failure modes, non-determinism, evaluation, feedback loops. You’ve also pushed AI tooling well past chat, and you get models to do things most PMs don’t know are possible.

  • Taste and UX intuition. You notice what’s wrong with an experience without being told, and your fixes feel obvious in hindsight. World-class visual design is not required. They're really good at distilling the underlying need beneath messy feedback and translating that into a simple, elegantUX.

  • Customer-obsessed. You get in front of customers unsupervised and come back with structured insight, and you’re comfortable building experiences that are unfamiliar to users. You're able to ask high-quality questions that make customers feel heard and give you the signal that you need.

  • Fast, optimistic, and high-slope. You synthesize a lot of context quickly, decide, and iterate. Ambiguity and speed energize you rather than stall you. You've developed rituals to continuously learn and stay at the bleeding edge of AI-native velocity.

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.

Similar Jobs

2 Days Ago
Hybrid
Concord, CA, USA
185K-300K Annually
Senior level
185K-300K Annually
Senior level
Fintech • Financial Services
Leads enterprise adoption and go-to-market strategy for AI and machine learning platforms. Coordinates product, engineering, and business stakeholders through platform releases, onboarding, training, documentation, governance, and support. Advises senior leaders, evaluates technical readiness, shapes roadmaps, resolves complex implementation challenges, and develops AI opportunity pipelines. The role translates technical capabilities into business outcomes through executive communications, adoption dashboards, risk metrics, and customer-centric enablement across cloud and on-premises environments.
Top Skills: AdkAPIsArtificial IntelligenceAzureAzure OpenaiBigQueryCi/CdDiffusion ModelsDockerFeature StoresGCPGenerative AiHugging FaceIbm Cloud Pak For DataKubernetesLangchainLanggraphLlmopsLlmsMachine LearningMlopsOpenshiftRagSdksTool-Based AgentsVector DatabasesVertex Ai
26 Days Ago
Hybrid
Santa Clara, CA, USA
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads cross-portfolio AI product strategy at ServiceNow by combining customer research, technical product management, pricing, packaging, and commercial strategy. Partners with product, engineering, customer success, pricing, and go-to-market teams to identify adoption barriers, shape AI platform roadmaps, develop bundling and consumption-based models, and drive enterprise adoption. Influences independent organizations without direct authority and measures the impact of product and pricing changes on usage, expansion, and revenue.
Top Skills: Ai PlatformsAi/MlConsumption-Based PricingPlatform ArchitectureSaaS
28 Days Ago
Hybrid
San Francisco, CA, USA
160K-230K Annually
Senior level
160K-230K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead product strategy and delivery for transaction monitoring and fraud detection across payments. Own real-time and post-transaction rules, alerting, investigator tooling, client-specific controls, and automation. Partner with Risk, Compliance, Data, and Engineering to improve detection accuracy, reduce false positives and operational overhead, ensure regulatory alignment, and scale monitoring globally while exploring AI-driven improvements.
Top Skills: AIAml Monitoring PlatformsCase Management / Investigation ToolingData PipelinesFraud Detection PlatformsMachine LearningSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account