Top Tech Jobs & Startup Jobs in Seattle, WA

Leads client discovery and advisory engagements to identify high-value AI and data opportunities, frame business problems, define MVPs, quantify value, and guide prototyping and scale readiness. Builds executive relationships, facilitates workshops, translates between business and technical teams, and partners with technologists to deliver measurable outcomes and adoption-ready solutions.

Lead defined client relationships, workstreams, delivery alignment, and expansion opportunities for a strategic enterprise account. Translate business priorities into data, analytics, cloud, and AI roadmaps; coordinate Sales, Delivery, technical teams, Finance, and partners; lead executive conversations, workshops, QBRs, proposals, and pursuits; monitor risks and outcomes; and contribute to account governance, playbooks, and team mentorship. The role is based in Atlanta or requires relocation and involves up to 50% travel.

Own a portfolio of strategic accounts, driving client delivery, revenue growth, profitability, and executive relationships. Translate AI and data objectives into programs involving platforms, pipelines, governance, analytics, and machine learning. Lead account strategy, executive meetings, QBRs, governance, risk resolution, partner collaboration, and delivery oversight. Contribute to sales enablement, industry playbooks, thought leadership, and practice standards while mentoring team members.

Lead complex client-facing AI and data programs from strategy through delivery, coordinating multi-geo teams and partners. Own roadmaps, budgets, margins, risks, escalations, client relationships, and measurable business outcomes. Partner with technical leaders, provide executive reporting, identify account expansion opportunities, and coach project managers and consultants. The role requires strong program management experience in consulting or professional services, familiarity with modern data and AI platforms, and willingness to travel up to 50% per month.

Designs and evolves enterprise architecture supporting Finance, HR, Revenue Operations, and IT systems. Leads requirements discovery, process mapping, solution design, integrations, implementation, testing, data quality, governance, security, and platform optimization. Partners with technical and business stakeholders on cloud transformation, AI, automation, vendor evaluation, and modernization initiatives while providing architectural guidance and mentorship.

Leads Anthropic-focused AI consulting accounts from activation through delivery and expansion. Owns account plans, use-case backlogs, client roadmaps, delivery risk, executive relationships, and growth opportunities. Partners with sales, delivery, marketing, and Anthropic teams to turn pilots into multi-phase AI transformation programs. Requires strong consulting, account growth, AI/data, scoping, and stakeholder leadership experience, with travel up to 50%.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Leads client discovery, architecture, and delivery of enterprise Data and AI solutions from initial design through production deployment. Advises executives and technical stakeholders on platforms, tooling, trade-offs, and AI adoption; guides engineering teams, manages technical risks, creates architecture documentation, and mentors engineers. Requires deep cloud, data engineering, AI, consulting, and modern software delivery expertise.

Leads AI and data product management engagements across client portfolios, owning delivery quality, scope, financial performance, roadmaps, and adoption KPIs. Manages staffing, recruiting, utilization, and team performance while driving go-to-market strategy, pipeline, revenue, presales, and consulting engagements. Establishes product management standards, AI-assisted workflows, and reusable delivery frameworks, partnering with executive stakeholders to scale products from MVP to production.

Advise enterprise clients on AI and data strategies, transformation roadmaps, operating models, governance, privacy, technology rationalization, and business cases. Lead discovery workshops, executive engagements, and art-of-the-possible sessions; prioritize use cases and connect technical recommendations to business outcomes. Build the advisory practice, develop offerings, manage multidisciplinary teams, mentor staff, strengthen client and partner relationships, and support successful distributed project delivery.