Blank Metal

Full-stack Engineer

• Design scalable service/micro-service patterns, database schemas, caching layers, and authentication flows
• Ship production-grade code across front-end (React/TypeScript) and back-end (Node, Go, or JVM) with strong test coverage
• Integrate model endpoints, manage real-time inference, and implement robust error-handling and fallback mechanisms
• Drive code-review rigor, CI/CD pipeline health, and observability instrumentation
• Pair-program, lead brown-bag sessions, and advise junior engineers on technical decisions
• Collaborate with UX/Product, AI/ML Practice, and ML Ops teams to deliver client solutions
• Contribute to engineering best practices and help raise the team’s technical bar

Senior Full Stack Engineer

AI Engineer

• Lead the technical architecture and strategy for AI‑powered projects
• Design scalable, production‑grade systems that handle real‑world complexity
• Make critical decisions about tooling, frameworks, and architectural patterns
• Own the quality and reliability of systems in production
• Mentor and develop other engineers
• Drive technical discussions and shape team standards
• Keep up with emerging tools and techniques
• Build observability and evaluation frameworks
• Partner with product and client teams to translate business needs into technical solutions
• Contribute to longer‑term technical vision and innovation

Senior AI Engineer

Client Partner

• Develop relationships with Account Executives at OpenAI, Anthropic, Vercel and other key partners; create co-sell opportunities and systematic partner-influenced pipeline
• Drive partner-sourced revenue: Build repeatable motions for generating opportunities through partner channels; track attribution and measure partner contribution to revenue
• Coordinate and execute partner-facing activities: Manage partner communications, joint go-to-market initiatives, and collaborative selling efforts
• Handle partner operations: Manage contracts, certification requirements, renewal cycles, and partnership agreements
• Qualify inbound partner channel leads: Conduct early discovery conversations, assess fit, and schedule follow-up meetings with qualified prospects
• Translate needs into solutions: Engage with prospects to understand their priorities and challenges; map them to Blank Metal's AI capabilities and services
• Communicate value: Present Blank Metal's AI engineering services in a compelling, consultative way—through presentations, proposals, and conversations
• Represent Blank Metal externally: Attend conferences, industry events, and partner meetups to connect, listen, and generate qualified leads
• Conceive and lead deployment of AI agents to automate partner communications, opportunity detection, and pipeline workflows
• Create and manage AI-powered tools for partner data analysis, health scoring, and attribution tracking
• Demonstrate Blank Metal's AI-native approach in how partnerships are managed and scaled
• Track personal performance metrics: Monitor partner-sourced opportunities, conversion rates, and overall revenue contribution
• Maintain pipeline discipline: Use Crossbeam, HubSpot, and Notion to track relationships, manage workflows, and measure business development outcomes
• Partner with delivery teams: Ensure opportunities are scoped realistically and positioned for client success
• Collaborate with marketing: Refine messaging, co-create campaigns, and activate thought leadership that drives inbound interest

Partner Development Manager

Marketing

• Build and maintain marketing dashboards tracking lead generation, campaign performance, and content ROI
• Create marketing automations using AI tools to streamline outreach, personalization, and lead nurturing
• Manage website content updates and ensure technical accuracy
• Build data pipelines for lead scoring and campaign attribution
• Manage marketing tool stack (website CMS, email platforms, analytics)
• Coordinate with designers on marketing materials and project timelines
• Plan and execute event series and one-off events from conception through post-event analysis
• Coordinate conference sponsorships, booth presence, and speaking opportunities
• Manage event logistics: venue selection, vendor coordination, attendee communications
• Create event marketing materials and promotional campaigns
• Track event ROI and generate post-event reports
• Coordinate swag orders for events and new hires
• Manage content calendar and publication schedule
• Support content creation workflows from ideation through publication
• Create partner marketing materials and co-branded assets
• Build AI-powered tools to streamline content creation and distribution
• Support thought leadership initiatives and campaign development
• Partner with sales and partnerships teams to understand pipeline needs and create supporting materials
• Work with delivery teams to translate technical capabilities into marketing narratives
• Collaborate with leadership on messaging strategy and positioning
• Operate closely with delivery and client-facing teams, similar to a professional services environment, to ensure marketing aligns with real customer needs

Marketing Manager

• Design and implement end-to-end AI integrations: from LLM API selection to production deployment
• Architect AI-powered features that work reliably at scale
• Work independently on complex projects with minimal oversight
• Leverage LLM frameworks, vector databases, and prompt engineering to solve real problems
• Integrate cloud AI services and build custom AI tooling when needed
• Ship production-grade code that balances quality and velocity
• Collaborate with designers, product managers, and other engineers
• Contribute to technical decisions and architectural discussions
• Mentor junior engineers when needed