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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product strategy and roadmap development for AI agents, with a strong technical background in coding and systems. Proficient in collaborating with cross-functional teams to drive product features and metrics focused on cost savings and detection accuracy.
Highest-signal resume keywords
Product Management ExperienceAI Coding AgentsEndpoint AgentsAnalytical SkillsCloud Cost Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyTechnical Requirements TranslationAI Token Waste ReductionTelemetry CollectionPolicy LogicLLM Provider APIsModel EvaluationBenchmarking
Soft Skills
CollaborationCustomer AdvocacyAnalytical Thinking
Tools & Technologies
EDR/XDRAI Agent SecurityVisibility ToolsCompliance ToolsInfrastructure Observability Products
Industry Keywords
B2B ProductsCybersecurityThreat DetectionFinOpsAI Observability
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Own the product strategy and roadmap for TokenShift from discovery through general availability and beyond
- Translate technical understanding of AI agents and LLM workloads into requirements for R&D
- Partner with R&D, design, and data science to scope, prioritize, and ship features that surface and reduce AI token waste
- Work directly with enterprise customers and prospects to understand production AI-agent deployments and cost and visibility gaps
- Define and track adoption, cost-savings, and detection-accuracy metrics
- Collaborate with go-to-market teams on positioning, messaging, and launch plans
- Stay current on coding agents, harnesses, LLM gateways and routers, AI observability, and endpoint management
- Represent the customer voice internally while balancing technical depth with business impact
Requirements
What you’ll need- Technical background, such as a former software engineer or technical PM with hands-on coding or systems experience
- Daily use of AI coding agents and understanding of them from the inside
- Experience with products deployed as an agent on endpoints, such as EDR/XDR, AI agent security, or visibility and compliance tools
- Experience with endpoint agents, telemetry collection, detection, and policy logic
- Working knowledge of AI agent harnesses and frameworks
- 4+ years of product management experience shipping complex technical B2B products, ideally developer tools or infrastructure
- Strong analytical skills and comfort working with usage and cost data at scale
- Experience with cloud cost management, FinOps, or infrastructure observability products is nice to have
- Background in cybersecurity or threat-detection products is nice to have
- Hands-on experience with LLM provider APIs or token-based pricing models is nice to have
- Hands-on experience with LLM routing, AI gateways, or model evaluation and benchmarking is nice to have
Benefits
Comp & perks- Direct access to founders and R&D leadership
- Opportunity to shape the product, culture, and go-to-market playbook
- Early-stage leverage and direct product ownership
- Work on a category-defining product with measurable ROI
- Backing by top-tier investors