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Leads the development and scaling of Aimpoint Digital’s Anthropic partnership and Claude-focused commercial motion. Responsibilities include GTM planning, partner and executive relationship management, pipeline creation, account strategy, sales enablement, campaigns, solution positioning, operating cadence, and internal education. The role translates Anthropic capabilities into market-ready enterprise AI offerings, reusable assets, qualified opportunities, and measurable revenue growth.

Develop and maintain full-stack web applications and RESTful APIs using React, JavaScript, backend languages, and data platforms. Partner with clients and internal teams to design analytical solutions, optimize performance, troubleshoot issues, conduct code reviews, and document systems. Work independently on consulting engagements, manage workstreams or small teams, support business development, and apply modern engineering, cloud, CI/CD, testing, security, and observability practices.

Lead Databricks architecture and delivery for AI, ML, engineering, and analytics engagements. Act as Databricks subject-matter expert, create technical content and demos, support sales/channel activities, and contribute to product development and partnership growth. Provide hands-on implementation, technical leadership, and client-facing consulting.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Lead end-to-end decision science engagements for Federal clients using mathematical optimization, simulation, machine learning, statistical modeling, and analytics. Design, develop, deploy, and maintain production models; build agentic workflows; write Python; mentor junior scientists; manage projects; communicate complex findings to stakeholders; support proposals and business development; and contribute to internal practice development.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Own and grow a new-logo services pipeline through Aimpoint Digital’s Databricks partnership. Responsibilities include lead sourcing, enterprise deal management, select account management, executive relationship development, quota attainment, partner collaboration, proposal development, and articulating data, analytics, and AI service offerings. The role requires entrepreneurial initiative, strategic thinking, teamwork, and approximately 25% travel.

Own the full sales cycle for Snowflake-related consulting and professional services engagements, from pipeline generation and lead sourcing through deal closure and selected account management. Build executive relationships, collaborate with Snowflake partner teams and technical experts, develop proposals, and articulate Aimpoint Digital’s value proposition. The role requires enterprise consulting sales experience, quota achievement, data and AI acumen, entrepreneurial initiative, and approximately 25% travel. It is a hybrid position based in New York, Boston, Chicago, or Atlanta.

Design, build, deploy, and scale production AI applications and agents. Translate business problems into scalable AI solutions, develop backend services and APIs, integrate with enterprise data platforms, ensure observability, governance, and MLOps, and collaborate with cross-functional client teams.

Lead client engagements that identify, prioritize, and operationalize high-value AI opportunities. Responsibilities include process and value-stream mapping, stakeholder workshops, business-case and ROI development, AI platform evaluation, strategy and roadmap creation, KPI definition, senior-stakeholder advising, proposal support, and mentoring. The role bridges business and technology to guide AI investments, workflow improvements, automation, and organizational capability development.