Senior Product Manager

Abnormal AI Abnormal AI · Vertical AI · United States · Remote · Product

Senior Product Manager to drive innovation in Abnormal Security's AI-native email security and account takeover detection products. This role involves owning product definition, strategy, and roadmapping for complex product areas, leading cross-functional teams, and understanding customer problems, technical tradeoffs, and business outcomes. The PM will leverage AI tools to accelerate product development and ensure high-quality execution.

What you'd actually do

  1. Own strategy, roadmap, and outcomes for complex product areas
  2. Frame and solve high-ambiguity customer problems
  3. Lead cross-functional execution from concept to adoption
  4. Shape product strategy and GTM tactics
  5. Own metrics, experimentation, and continuous improvement

Skills

Required

  • 7+ years of product management experience in software
  • Strong track record of owning complex product areas end-to-end in B2B SaaS or similarly technical domains
  • Proven experience working on deeply technical products, collaborating closely with engineering on architecture, scalability, or AI/ML–driven features, and reasoning through technical tradeoffs and constraints
  • Demonstrated ability to own product strategy, definition, and roadmap for a product line or multiple complex surfaces—including problem framing, opportunity sizing, prioritization, and success metrics
  • Strong analytical and problem-solving skills, with comfort using data (dashboards, experiments, or SQL/analysis in partnership with Data) to inform decisions and refine product direction in ambiguous spaces
  • Excellent communication and cross-functional leadership, with the ability to drive alignment across Engineering, Design, GTM, and executives, and to represent the product in high-stakes or customer-facing scenarios
  • High ownership, operational excellence, and attention to detail across documentation, planning, stakeholder management, and launch execution

Nice to have

  • Experience in enterprise SaaS / B2B environments, ideally in cybersecurity, security operations, identity, posture management, or adjacent technical domains
  • Prior experience working as a software engineer, data scientist, or similarly technical role, or equivalent hands-on experience with complex distributed systems or AI-driven products
  • Experience with data analysis and experimentation (e.g., comfort working with analytics tools, experimentation platforms, or SQL in partnership with Analytics)
  • Familiarity with AI-native workflows and rapid prototyping tools (e.g., Claude/ChatGPT, v0, Figma) to speed up discovery, ideation, and validation
  • Background working closely with GTM teams (Sales, Marketing, Customer Success, Support) on launches, enablement, and customer-facing messaging and demos

What the JD emphasized

  • own product definition
  • set initial product strategy
  • build a 12‑month roadmap
  • most knowledgeable person in the company
  • customer problems
  • technical and AI-focused tradeoffs
  • business outcomes
  • raising the bar for product quality and execution
  • Own strategy, roadmap, and outcomes for complex product areas
  • Define and evolve a 9–12 month roadmap
  • clear prioritization
  • customer value
  • security outcomes
  • business impact
  • Frame and solve high-ambiguity customer problems
  • deeply understand customer pain
  • crisp problem statements
  • product briefs
  • measurable outcomes
  • Lead cross-functional execution from concept to adoption
  • Drive the end-to-end product lifecycle
  • problem framing
  • PRDs
  • launch, instrumentation, and iteration
  • partnering closely with Engineering, Design, Data, Sales, and Customer Success
  • ship high-quality features at velocity
  • Shape product strategy and GTM tactics
  • Contribute to divisional strategy
  • GTM plans
  • position the product
  • sequence major initiatives
  • tell the value story
  • Own metrics, experimentation, and continuous improvement
  • Define and track KPIs for your product lines
  • adoption, engagement, incident reduction, revenue impact
  • run experiments
  • use data to refine direction
  • inform investment decisions
  • Represent your product externally and with leadership
  • domain expert for your product areas
  • customer calls
  • escalations
  • executive reviews
  • roadmap discussions
  • communicating clearly
  • managing tradeoffs
  • building trust across the organization
  • Lead in an AI-native way of working
  • Use AI tools
  • rapid prototyping
  • accelerate discovery, research, documentation, and UX exploration
  • raising the standard for how product work gets done
  • Mentor or manage other PMs
  • manage 1–2 PMs
  • mentor junior PMs
  • contributing to Abnormal’s product management craft
  • R&D operating system
  • hiring pipelines
  • 7+ years of product management experience
  • strong track record of owning complex product areas end-to-end
  • B2B SaaS or similarly technical domains
  • Proven experience working on deeply technical products
  • collaborating closely with engineering on architecture, scalability, or AI/ML–driven features
  • reasoning through technical tradeoffs and constraints
  • Demonstrated ability to own product strategy, definition, and roadmap
  • problem framing, opportunity sizing, prioritization, and success metrics
  • Strong analytical and problem-solving skills
  • comfort using data
  • dashboards, experiments, or SQL/analysis in partnership with Data
  • inform decisions
  • refine product direction in ambiguous spaces
  • Excellent communication and cross-functional leadership
  • drive alignment across Engineering, Design, GTM, and executives
  • represent the product in high-stakes or customer-facing scenarios
  • High ownership, operational excellence, and attention to detail
  • documentation, planning, stakeholder management, and launch execution
  • A growth mindset
  • willingness to learn quickly
  • fast-paced, AI-native environment
  • integrating new tools and workflows
  • Experience in enterprise SaaS / B2B environments
  • cybersecurity, security operations, identity, posture management, or adjacent technical domains
  • Prior experience working as a software engineer, data scientist, or similarly technical role
  • hands-on experience with complex distributed systems or AI-driven products
  • Experience with data analysis and experimentation
  • comfort working with analytics tools, experimentation platforms, or SQL in partnership with Analytics
  • Familiarity with AI-native workflows and rapid prototyping tools
  • speed up discovery, ideation, and validation
  • Background working closely with GTM teams
  • Sales, Marketing, Customer Success, Support
  • launches, enablement, and customer-facing messaging and demos
  • own a portfolio of product lines and their KPIs
  • accountable for meaningful customer and business outcomes
  • not just feature delivery
  • Enjoy working at the intersection of AI, security, and user experience
  • helping customers stay ahead of sophisticated threats
  • keeping products intuitive and impactful