Jobs at Provectus

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.

Designs and delivers production-grade GenAI solutions, including LLM applications, AI agents, RAG systems, Python services, and cloud-native architectures. Leads technical discovery, solution architecture, scoping, presales, architecture reviews, and client-facing engagements from inception through production. Mentors engineers, conducts code reviews, establishes Python engineering standards, and advises clients on architectural tradeoffs, cloud costs, testing, deployment, and AI quality assurance.

Build and enhance RAG systems, AI components, backend services, data pipelines, REST APIs, evaluation harnesses, and production AWS deployments. Write tests, investigate model failure modes, support containerized CI/CD releases, document solutions, and contribute to architecture and client handoffs. The role offers senior guidance while progressively increasing ownership of technical decisions and system components.

Build and enhance RAG systems, AI components, backend services, data pipelines, and REST APIs under senior guidance. Write production code, tests, evaluation harnesses, documentation, and runbooks. Support AWS deployments using containers and CI/CD, investigate model failure modes, and contribute to architectural decisions. The role offers increasing ownership while collaborating with senior engineers, FDEs, FDXs, and enterprise clients in distributed teams.

Owns two revenue motions: converting Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently generating new business in Financial Services and Life Sciences. Responsibilities include full-cycle sales, partner relationship management, co-selling, pipeline reviews, joint go-to-market planning, executive engagement, proposal scoping, negotiations, and closing consulting statements of work. The role also requires building an enterprise decision-maker network and collaborating with delivery, architecture, leadership, and marketing teams.

Sources and qualifies new business across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services opportunities. The role targets mid-market and enterprise clients, requires independent prospecting and negotiation skills, and involves attending industry events and client meetings with approximately 40% travel.

Owns partner-sourced and self-generated enterprise sales motions for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed SOW, develops co-selling opportunities, maintains joint pipelines, and leads partner business reviews. Independently prospects and closes Financial Services and Life Sciences accounts, collaborates with delivery architects on solution scoping, and provides market intelligence to leadership and marketing. Travel of up to 40% is required.

Owns partner-sourced and self-sourced enterprise sales for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed statements of work, develops new enterprise accounts in Financial Services and Life Sciences, coordinates solution scoping with delivery and architecture teams, leads co-selling and joint pipeline activities, and provides market intelligence to leadership and marketing.

Sources and qualifies new business opportunities across North America, builds sales pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology services deals. The role focuses on selling AI and cloud solutions to mid-market and enterprise clients, requires independent prospecting and negotiation skills, and includes attendance at industry events and client meetings with approximately 40% travel.

Own full-cycle recruiting for forward-deployed engineering and leadership roles across the US. Source passive AI and technical talent through LinkedIn, GitHub, communities, referrals, and talent mapping. Build Provectus’s talent community through meetups, workshops, hackathons, university programs, and industry events. Partner with hiring managers and senior leadership on hiring criteria, workforce planning, compensation benchmarking, candidate experience, and offer negotiation.

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.

Own two revenue motions: convert Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently build pipeline in Financial Services and Life Sciences. Manage relationships with partner and field sales teams, lead co-selling and joint go-to-market activities, run discovery through signed SOW, prospect enterprise decision-makers, scope consulting proposals with delivery teams, and provide market intelligence to leadership. Travel up to 40% for customer and partner engagements.

Manage an East Coast portfolio of Provectus clients to drive renewals and expansion revenue. Track engagement health with delivery leads, manage renewals/SOWs, identify upsell and cross-sell opportunities, run executive business reviews, maintain CRM and revenue forecasts, and hit quarterly expansion/renewal targets. Collaborate with BDMs for handoffs and travel to customer meetings and workshops (up to 40%).

Design and implement cloud-native AI solutions, build relationships with clients, and optimize AI systems. Mentor others and lead architecture decisions.

Embed with customers to learn their workflows, design and ship production GenAI/LLM solutions on AWS, build eval suites, operate and iterate systems, and partner with senior stakeholders to drive measurable business outcomes.

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 systems, including LLM applications, agentic workflows, retrieval pipelines, structured extraction, and evaluation harnesses. Embed with client teams to learn operational domains, redesign workflows, write production code, and drive adoption. Own delivery outcomes and business KPIs while working across backend services, data pipelines, AI systems, and AWS cloud infrastructure. Collaborate with operators, engineers, executives, and Forward Deployed Executives in ambiguous, customer-facing engagements.

Designs and deploys production-grade generative AI, RAG, and agentic systems for enterprise clients. The role combines client workflow discovery, architecture, production coding, cloud-native AWS delivery, evaluation and monitoring, cost optimization, technical scoping, stakeholder communication, and knowledge transfer. Candidates must independently solve ambiguous problems, engage executives and engineers, and own technical outcomes across industries including financial services, insurance, healthcare, and life sciences.