Senior Enterprise Architect & Practice Leader

Streamforce Solutions LLC
•Remote

About The Position

StreamForce is hiring a Senior Enterprise Architect who will also lead its Value Creation practice. The role leads AI-first go-to-market transformation programs for private equity sponsors and their portfolio companies, shaping strategy, designing target architectures, and guiding delivery through to measurable outcomes. It also develops StreamForce’s Value Creation offerings, accelerators, and go-to-market plays. The position works with PE operating partners and portfolio operations teams, portfolio-company executives and functional leaders, and StreamForce’s onshore and offshore delivery teams. The role is fully remote in the United States, with occasional client-workshop travel of up to approximately 15%. StreamForce is a Lead-to-Revenue specialist and M&A and GTM expert for private equity firms and portfolio companies. Its work modernizes go-to-market and finance systems during growth, mergers and acquisitions, and restructuring. The company partners with Salesforce, DealHub, Nue.io, and Snowflake and delivers Revenue Cloud (RCA / ARM), CPQ, billing, and data-foundation programs for PE-backed SaaS and B2B companies. The successful candidate will lead the Value Creation practice strategy and roadmap; work with PE sponsors and portfolio-company executives to connect technology initiatives to EBITDA, revenue growth, and exit readiness; and turn successful approaches into repeatable programs, offerings, pricing, case studies, and playbooks. They will lead executive discovery and AI adoption planning, define the data foundations and governance needed for AI, design end-to-end lead-to-cash architectures, and oversee concurrent delivery and M&A integration programs. The role also contributes to sales proposals and demos, develops reusable IP, publishes thought leadership, and mentors architects and analysts.

Requirements

  • 12+ years of experience in enterprise or solution architecture, including 5+ years leading GTM or quote-to-cash transformations.
  • Hands-on experience designing and shipping AI in GTM in production with real users and measured results, using Agentforce, Einstein, LLM-based agents or copilots, or comparable tools.
  • An AI-first point of view that can be defended with executives, including where AI belongs in the revenue process, what data it needs, and how it should be governed.
  • Deep Salesforce expertise across Sales Cloud and Revenue Cloud (RCA / ARM) or CPQ, plus working knowledge of billing and ERP systems such as Zuora, Nue.io, NetSuite, or similar.
  • Strong understanding of finance operations, including invoicing, payments, revenue recognition, and ERP integration.
  • Direct working experience with PE business operations teams and fund-level operating partners, as well as C-level executives at portfolio companies.
  • Understanding of value-creation plans, 100-day plans, and how sponsors measure portfolio-company performance.
  • Experience building or leading a consulting practice or offering, including shaping services, pricing, intellectual property, and go-to-market.
  • A record of leading distributed onshore and offshore teams.
  • Comfort with Agile delivery and estimating and scoping work for proposals.
  • Authorization to work in the United States without current or future visa sponsorship.

Nice To Haves

  • Salesforce Application or System Architect, Revenue Cloud Consultant, Agentforce Specialist, or Data Cloud Consultant certification, or Zuora or Nue.io certification.
  • Exposure to Snowflake as the data layer for AI use cases.
  • M&A integration or carve-out work for PE sponsors.
  • Hands-on use of AI coding and build tools, such as Claude Code, Agentforce Builder, or similar tools, in delivery.
  • Prior consulting or professional services experience with presales responsibility in SaaS, PE, or VC environments.

Responsibilities

  • Own the strategy and roadmap for Value Creation offerings for PE-backed companies, including GTM health checks, 100-day plans, M&A integration, and AI-first revenue transformation.
  • Partner with PE operating partners and portfolio operations teams to translate value-creation theses into repeatable programs across their portfolios.
  • Engage portfolio-company CEOs, CROs, and CFOs to connect systems and AI work to EBITDA, revenue growth, and exit readiness.
  • Package successful work into offerings, pricing, case studies, and playbooks, and refine them based on client results.
  • Enhance the LEVR framework into a repeatable playbook linking GTM and AI initiatives to EBITDA, growth, and exit-readiness outcomes.
  • Expand and optimize the Quickstart library across the Lead-to-Revenue lifecycle, including Board- and leadership-level reporting.
  • Lead executive discovery with CROs, CFOs, and RevOps leaders to identify AI opportunities across pipeline, win rate, deal velocity, retention, and cost to serve.
  • Build AI adoption roadmaps that sequence quick wins ahead of larger platform changes.
  • Define the data foundation, governance, and trust controls needed for AI, including unified customer and revenue data in Data Cloud or Snowflake.
  • Map current-state and target-state processes across Marketing, Sales, Customer Success, Support, and Finance.
  • Design end-to-end lead-to-cash solutions across Salesforce Sales Cloud, Revenue Cloud (RCA / ARM), Agentforce, Nue.io, DealHub, Zuora, and NetSuite.
  • Produce architecture blueprints, working prototypes, and recommendations on cost, risk, and time to value.
  • Serve as lead architect on multiple concurrent programs, from legacy CPQ modernization to post-acquisition platform consolidation.
  • Drive data harmonization and GTM system integration during M&A and carve-outs.
  • Use AI-assisted build and testing to reduce delivery time while maintaining quality.
  • Guide onshore and offshore teams in Agile delivery across time zones.
  • Shape proposals, estimates, and solution demonstrations with the sales team, and present to client and PE sponsor executives.
  • Build reusable accelerators, AI agents, and delivery playbooks.
  • Publish thought leadership on AI-first GTM for PE-backed companies.
  • Mentor architects and analysts.

Benefits

  • Competitive salary
  • Paid time off
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