Fable Security Logo

Fable Security

Product Manager

Posted 5 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
170K-220K Annually
Senior level
In-Office
San Francisco, CA, USA
170K-220K Annually
Senior level
Own the product roadmap from customer discovery through delivery and outcomes. Partner with engineering on AI-native features, prioritize initiatives, write clear specifications, drive execution, align cross-functional stakeholders, and measure product impact. Engage directly with CISOs and security practitioners while shaping strategy at an early-stage cybersecurity startup.
The summary above was generated by AI
About Fable

Fable Security is rethinking how organizations manage human risk. Instead of once-a-year training that employees click through, we help security teams see which people are most at risk and change behavior in the moments that matter. Our product spans GenAI-powered briefings, behavioral risk models, multi-channel interventions, an admin and IT surface, analytics, and a growing layer of enterprise integrations.

We're an early-stage startup. That means small teams, high trust, and real ownership. Everyone here has a direct line to customers, to leadership, and to the outcomes their work drives. We move quickly, we're candid with each other, and we care more about solving the right problem than about who gets credit.

The role

We're hiring a Product Manager to own the most impactful parts of the Fable product from problem to shipped outcome. You'll set the direction, own the roadmap, and be accountable for the results, from identifying the right problems to shipping solutions and measuring their impact on customers and the business.

You'll turn customer insights and company goals into a clear product strategy, make the hard prioritization calls, and lead execution alongside engineering. Engineers will be your partners in discovery and solution design, and you'll bring the product judgment and focus that turn strong ideas into successful products.

As one of the first PMs at fable, you'll have significant autonomy, direct influence on the company's direction, and the opportunity to shape how we build products as we grow. This is an individual contributor role with substantial ownership: your impact will come form the products you lead, the decisions you make, and the outcomes you deliver.

What you'll do:
  • Own the roadmap for your area. Build and maintain a roadmap that ties directly to company goals and customer needs. Make the tradeoffs explicit and explain the "why" behind every priority.

  • Partner deeply with engineering. Work with engineers as co-creators from discovery through delivery. Scope problems together, make smart build-vs-defer calls, and keep the team focused on the work with the most impact.

  • Build AI-native product. Help shape features where the model is the core mechanic, not a bolt-on. Think about evals, quality, and what each new model generation makes possible.

  • Turn ambiguity into clear plans. Take loosely defined problems, frame them sharply, and write crisp specs that give engineers enough context to make good decisions on their own.

  • Drive execution. Run planning and prioritization, unblock the team, track progress, and hold a high bar for what ships and when.

  • Stay close to customers. Talk to CISOs and security practitioners regularly. Join customer calls, dig into usage data, and bring real evidence into product decisions.

  • Align stakeholders so the team can ship. Keep sales, customer success, marketing, design, and leadership informed and pulling in the same direction. Bring the right people in early, handle disagreement directly, and keep alignment in service of shipping, never as an end in itself.

  • Measure what matters. Define success metrics before you build, check them after you ship, and change course when the data says to.

What you bring:

Must-haves

  • 7+ years of product management experience, ideally building B2B SaaS products

  • A track record of owning a roadmap and shipping products that moved real business metrics

  • The engineering teams you've worked with have loved you as a leader and owuld say that you causally led them to victory

  • Has shipped at least one AI-powered feature where the model is the core mechanic, and has real opinions on evals, quality, and model tradeoffs

  • Strong written communication: you write specs, strategy docs, and updates that people actually read

  • Comfort working in an early-stage or fast-moving environment with limited process

  • Solid product judgment, backed by both qualitative customer insight and quantitative data

Nice-to-haves

  • Experience in cybersecurity, security awareness, or other enterprise security products

  • Experience selling to or building for CISOs and security teams

  • Prior experience at an early stage startup

How we work

Our BRIEF values shape how we work every day. You'll do well at Fable if these sound like you:

  • Trust. You build trust across engineering, design, and GTM by being candid, reliable, and clear. You say no kindly and directly, and people know where they stand with you.

  • High bar. You care about quality and craft without over-engineering. You give and seek candid feedback and stay low-ego about where good ideas come from.

  • Fast iteration. Requirements won't arrive fully formed. You make good decisions with incomplete information, ship something small, learn from it, and adjust quickly.

  • Extreme ownership. When something breaks or falls through the cracks, you don't wait for someone else to fix it. You own the outcome, not just your piece of it, and you own your misses as clearly as your wins.

  • Customer obsession. You start with the customer and the problem, not the process or the framework. Real customer evidence drives your decisions.

  • We work from our San Francisco office three days a week, fostering collaboration and deep focus.

Compensation: The estimated salary range for this position is $170,000 - $220,000 per year. Total compensation for this position also includes equity, health insurance and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors.

Fable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Similar Jobs

2 Days Ago
Hybrid
San Jose, CA, USA
251K-286K Annually
Senior level
251K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads cybersecurity risk reduction, governance, capability maturity, IAM product management, and cross-domain risk assessments. Advises on security tools, controls, threats, vulnerabilities, compliance gaps, and remediation strategies while coordinating enterprise initiatives. Manages and develops cybersecurity professionals, communicates risk findings to leadership, and drives consistent control design, testing, metrics, and reporting practices across cyber programs.
Top Skills: Aws Security HubCmmcCrowdstrikeFedrampIdentity And Access Management (Iam)Mitre Att&CkMulti-Cloud EnvironmentsNist CsfQualysSplunk
2 Days Ago
Hybrid
2 Locations
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Define strategy and roadmaps for Snap’s third-party advertising and commerce integrations. Lead partner-enabled product development from concept through launch, balancing advertiser value, technical feasibility, data quality, privacy, and speed. Collaborate with Engineering, Data Science, Sales, Marketing Science, Partnerships, and Product Marketing to deliver measurement experiences. Build ecosystem relationships, identify industry opportunities, and drive adoption of products that help advertisers measure campaign value.
Top Skills: Advertising TechnologyAPIsBidding PlatformsCommerce PlatformsData FlowsIdentity IntegrationsMeasurement PlatformsSignal Integrations
2 Days Ago
In-Office
San Jose, CA, USA
109K-219K Annually
Entry level
109K-219K Annually
Entry level
Artificial Intelligence • Cloud • Information Technology • Consulting
Supports product strategy and roadmaps for HPE CX Switching and Self-Driving Network products. Translates customer needs, market trends, competitive insights, and emerging technologies into product requirements and recommendations. Partners with engineering, cloud, AI, sales, customers, and technical teams across the product lifecycle. Develops market, pricing, cost, competitive, and business-case analyses, defines product positioning, and provides data-driven recommendations to leadership.
Top Skills: AIAPIsAristaCiscoCloud TechnologiesEthernetHpe Aos-CxHpe NetworkingIpv4Ipv6JuniperLayer 2 NetworkingLayer 3 NetworkingLinuxPythonRouting ProtocolsVlan

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