Jobs at Provectus

Own and grow strategic Anthropic and AWS alliances, building partner activation, funding, competency, co-sell, and pipeline programs. Lead the alliances team, establish operating processes, develop executive partner relationships, and collaborate with sales, marketing, and delivery. Expand partnerships with GCP and emerging AI providers while maintaining partner tiers and program requirements. The role requires hands-on alliance management, team leadership, enterprise communication, AI ecosystem familiarity, and up to 40% travel.

Qualify enterprise leads, conduct discovery with financial services and life sciences buyers, scope AI consulting engagements with architects, negotiate proposals and SOWs, and close deals. The role manages the full sales cycle, coordinates with AWS and Anthropic partner representatives, maintains CRM and forecasts, and communicates buyer insights to leadership and marketing. Travel up to 30% is required.

Manage inbound enterprise leads and complete the full sales cycle for AI consulting engagements. Qualify prospects, conduct discovery with financial services and life sciences buyers, scope proposals with architects, negotiate contracts, and close signed statements of work. Maintain CRM accuracy, forecast deals, coordinate with AWS and Anthropic partner representatives, and provide market feedback to leadership. Travel for client meetings up to 30% of the time.

Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads through discovery, solution scoping, proposal development, negotiation, and signed SOWs. Engage banking, insurance, and life sciences buyers; collaborate with architects and delivery teams; manage partner relationships with AWS and Anthropic; maintain CRM accuracy and forecasts; and provide market feedback. Travel up to 30% for client meetings.

Build and deploy production GenAI and LLM systems for financial services and healthcare clients. Responsibilities include understanding business operations, designing AI solutions, developing evaluation suites, delivering cloud-native systems on AWS, supporting enterprise AI adoption, contributing to reusable blueprints, and engaging senior stakeholders in pre-sales and solution scoping. The role requires autonomous ownership from problem framing through production deployment, with hands-on work involving Claude, Claude Code, Cowork, integrations, workflows, and connectors.

Owns two revenue motions: converting Anthropic- and AWS-sourced enterprise leads into consulting clients and independently building pipeline in Financial Services and Life Sciences. Responsibilities include prospecting, full-cycle enterprise sales, solution scoping, proposal negotiation, closing SOW engagements, managing Anthropic partnerships, coordinating co-sell activities, maintaining joint pipelines, supporting partner certifications and marketing, and collaborating with delivery and architecture teams.

Sources and qualifies new business opportunities across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services deals. The role targets mid-market and enterprise clients, requires independent business development in services-led environments, and includes approximately 30% travel for conferences, industry events, and client meetings.

Build and deploy production generative AI and LLM systems for financial services and healthcare clients. Embed with client teams to understand business operations, design AI solutions, create evaluation suites, and deliver cloud-native systems on AWS. Lead engagements from strategy through deployment, contribute to AI tooling and blueprints, advise senior stakeholders, and support pre-sales. Work hands-on with Claude, Claude Code, Cowork, integrations, and production engineering practices.

Drive partner-sourced and outbound enterprise business development across Financial Services and Life Sciences. Qualify leads, conduct discovery, scope AI consulting opportunities, manage proposals and signed SOWs, maintain partner pipelines, and build relationships with AWS and Anthropic field teams. Collaborate with architects and delivery leaders, support co-selling and partner programs, and develop an enterprise client network. The role offers a path toward full-cycle enterprise sales ownership.

Own partner-sourced and self-generated enterprise sales motions for AI consulting services. Manage Anthropic and AWS relationships, qualify leads, run full sales cycles, prospect within Financial Services and Life Sciences, close consulting engagements, maintain joint pipelines, lead co-sell planning, support partner certifications and marketing, and collaborate with delivery teams on proposals. Build executive relationships and provide market intelligence to leadership.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Build and deploy production GenAI and LLM systems for enterprise clients in financial services and healthcare. Embed with customers to understand operational needs, design AI solutions, own implementation from strategy through deployment, develop evaluation suites, and improve reusable industry blueprints. Advise senior stakeholders, contribute to pre-sales, and help shape AI delivery tooling and frameworks using Claude, AWS, Python, and TypeScript.

Own growth marketing for an AI systems integrator by translating engineering work into compelling stories, videos, demos, and written content. Manage and measure channels including LinkedIn, YouTube, and X; run experiments against pipeline outcomes; and build lightweight tools, dashboards, scrapers, and microsites. The role requires strong writing, genuine AI interest, working-level Python or TypeScript skills, and comfort using AI coding tools. Candidates may be early-career and must be in New York or San Francisco or willing to relocate.

Develop and execute growth marketing for enterprise AI systems by translating technical work into compelling stories, videos, demos, and case studies. Shape company positioning, own social and content channels, build marketing tools and agentic workflows, track pipeline impact, and run experiments. The role combines strategic marketing, business storytelling, content creation, coding, and AI research.

Develops and communicates the business impact of enterprise AI systems through writing, video, demos, case studies, and digital channels. Shapes company positioning, owns LinkedIn, YouTube, X, and future channels, and runs performance-driven marketing experiments. Builds marketing tools such as scrapers, agentic case-study generators, microsites, and pipeline dashboards using Python or TypeScript. Requires strong writing, business understanding, hands-on coding, AI knowledge, and a portfolio of shipped work.