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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on defining product-market fit, managing product roadmaps, and integrating productivity metrics. Proficient in AI infrastructure economics and capable of leading technical sales conversations while ensuring compliance and security in enterprise environments.
Highest-signal resume keywords
Product ManagementAI Infrastructure EconomicsOutcome Measurement IntegrationEnterprise Security ReviewsFinOps Experience
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 Roadmap OwnershipTelemetry IngestionAPI Gateway ExperienceOutcome Metrics DefinitionToken Expense ManagementSingle-Tenant DeploymentData Product KnowledgeCloud Cost ManagementSDK UnderstandingEngineering Intelligence
Soft Skills
Exceptional CommunicationFounder MentalityComfort with AmbiguityHands-On with SpecificationsMotivated to Grow
Tools & Technologies
GitHubJiraLinearHivemind Digital GroupLLM GatewaysAPM ToolsCloud PlatformsTelemetry ToolsExpense Workflow SystemsDesign-Partner Programs
Industry Keywords
Developer-InfrastructureFinOpsSpend ManagementObservabilityFintechEnterprise ComplianceData ResidencyToken MeteringModel RoutingProduct Discovery
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own the product roadmap and define product-market fit from MVP through the Pro-to-Enterprise ladder
- Decide build sequencing across spend visibility, attribution, token credit approval, usage governance, model optimization, routing, procurement, outcome measurement, and data products
- Define Lightyear Pro with telemetry export, metadata-only ingestion, minimal admin credentials, and usage and cost tracking
- Define Lightyear Enterprise with engineering, including a single-tenant gateway and console, request-path model and budget rules, and model routing
- Own outcome and productivity measurement integrations with GitHub, Jira, Linear and similar systems
- Own the methodology for attributing, normalizing and connecting token spend to work outcomes
- Own the token expense-management workflow for requests, approvals and suggested allocation
- Define production of inference token benchmarks and indices and determine what is published, licensed or reserved for financial products
- Treat privacy, security, data residency, single-tenant deployment and enterprise compliance as product requirements
- Recruit and run a design-partner program with organizations running agents at scale
- Lead technical and domain sales conversations, demos, integration scoping, security reviews and procurement reviews
- Develop pricing and packaging across Pro and Enterprise offerings
- Partner with sales/BD and the Hivemind network, owning the technical close
- Deploy Lightyear on Hivemind Digital Group's agent spend as customer zero
- Prepare product and commercial reporting for the CEO and group leadership
- Hire and lead the founding product and design team and establish product discovery, specification and release processes
Requirements
What you’ll need- 7+ years in product management
- At least one product owned end-to-end from 0 to 1 at a developer-infrastructure, FinOps or spend-management, observability, or fintech company
- Experience shipping products in the request path or ingesting telemetry, such as API gateways or proxies, LLM gateways, observability and APM, cloud cost management, or LLM-ops tooling
- Experience defining or shipping outcome or productivity metrics for engineering or knowledge work, or rigor to do so with a data lead
- Deep fluency in AI infrastructure economics, including provider pricing and plan structures, token metering, model routing, inference costs, and individual, team and enterprise plan exposure
- Technical fluency sufficient to read code and understand SDK and agent instrumentation, credential and authentication models, and single-tenant and VPC cloud deployment patterns
- Experience selling to or building for FinOps, platform engineering and finance buyers
- Comfort running enterprise security and procurement reviews
- Experience in spend management, expense workflows or FinOps, or engineering-intelligence and developer-productivity products, strongly preferred
- Working knowledge of data products, benchmarks or indices, and usage data becoming a financial product, a plus but not required
- Experience running customer research, design-partner programs, and 0-to-1 commercial motions
- Exceptional written and verbal communication
- Founder mentality; intrinsically motivated, comfortable with ambiguity, hands-on with specifications and demos, and ambitious to grow into broader product leadership
Benefits
Comp & perks- Competitive base compensation
- Discretionary bonuses
- Stock options
- Meaningful equity component
- Top-of-market benefits and perks package