Jobs at Provectus

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.

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.

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.

Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.

Own partner-sourced and self-sourced enterprise sales motions: convert Anthropic/AWS partner leads to signed SOWs, prospect new logos in Financial Services and Life Sciences, run full sales cycles, maintain joint pipelines and co-sell activities, and coordinate with delivery and architecture teams to scope consulting engagements.

Own two revenue motions: convert Anthropic- and partner-sourced enterprise leads into signed SOWs and build a self-sourced enterprise pipeline in Financial Services and Life Sciences. Run full sales cycles, manage partner relationships, lead co-sell planning and co-marketing, and collaborate with delivery and architects to scope consulting engagements. Travel up to 40% for meetings, briefings, and events.

Translate enterprise AI engineering work into compelling videos, articles, demos, and social content. Build marketing automation tools such as scrapers, agentic case-study generators, microsites, and pipeline dashboards using Python or TypeScript. Own publishing and measurement across major channels, run marketing experiments with real budgets, and connect storytelling to business results. The role requires strong writing, hands-on coding, genuine AI expertise, a portfolio demonstrating range, and willingness to work in New York or San Francisco.