ECI Software Solutions Logo

ECI Software Solutions

Lead GTM Engineer, Post-Sales

Posted 18 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead the technical architecture for post-sales Customer Success, Renewals, Professional Services, Support, and GTM Operations. Build automation, AI capabilities, integrations, workflows, customer intelligence, and shared data models that improve retention, renewals, efficiency, and customer engagement. Establish engineering standards and technical direction across GTM systems while partnering with business leaders, engineers, and the Pre-Sales GTM Engineer.
The summary above was generated by AI

Lead GTM Engineer, Post-Sales

Reports to: SVP, Customer Success & Operations
Location: Remote (U.S.), occasional travel

Architect the operating system behind Customer Success

ECI serves more than 25,000 customers across multiple industries. As we modernize our go-to-market operating model, we're investing in the systems that determine how customers are engaged, how work gets done, and where AI creates meaningful leverage.

As Lead GTM Engineer, Post-Sales, you'll own the technical architecture behind our customer success, retention and renewals model. Working across Customer Success, Renewals, Professional Services, Support, and GTM Operations, you'll design the automation, integrations, AI capabilities, and workflows that allow those teams to scale without simply adding headcount.

This is the senior lead role for our GTM Engineering team and the primary build partner to post-sales organizations. With specific focus on post-sales, and overall responsibility across the GTM organizations, you'll shape the technology, architecture, and automation strategy behind how ECI serves and grows more than 25,000 customers.

You'll work with significant autonomy, partnering directly with business leaders to identify operational bottlenecks, prioritize the highest-impact opportunities, and build solutions that become part of how the company operates every day.

What you'll do

Build the scaled Customer Success platform. Design the workflows, automation, and AI capabilities that monitor customer health, identify risk and opportunity, and coordinate the next best action across digital engagement, AI interactions, and human teams.

Eliminate manual work. Identify repetitive operational processes across Customer Success, Renewals, Professional Services, and Support, then redesign them using automation, AI, and system integrations that improve both efficiency and customer experience.

Build customer intelligence. Transform operational data into actionable signals that improve health scoring, identify churn risk, surface expansion opportunities, and enable more proactive customer engagement.

Connect the technology stack. Design and maintain the integrations connecting Salesforce, customer success platforms, AI technologies, communication channels, and internal systems to ensure information moves reliably across the customer lifecycle.

Advance AI capabilities. Evaluate emerging AI technologies, build internal solutions where appropriate, and continuously expand how AI supports customer-facing teams and operational workflows.

Establish the post-sales architecture. Own the shared data model, integration strategy, automation standards, AI platform decisions, and engineering practices that underpin our post-sales operating model. Set the technical direction for GTM Engineering and partner with the Pre-Sales GTM Engineer to create a consistent architecture across the entire customer lifecycle.

Who you are

  • 7+ years in GTM Engineering, Revenue Operations, Customer Success Operations, Solutions Engineering, or a similar technical operations role within B2B SaaS.

  • Comfortable designing system architectures, working with APIs, automation platforms, AI technologies, and data models, while writing code when the right solution requires it.

  • Strong understanding of Salesforce and how operational systems connect across the commercial organization.

  • You'll help decide where commercial platforms are the right answer and where building proprietary capabilities creates a competitive advantage.

  • You naturally think in systems, looking for opportunities to simplify complex processes and eliminate repetitive work.

  • Comfortable leading technical direction, influencing stakeholders, and partnering with both engineers and business leaders.

  • Interested in applying AI thoughtfully to solve operational problems rather than adopting technology for its own sake.

Why this role matters

We're building the technology foundation behind the next generation of Customer Success at ECI.

You'll join at the beginning of a multi-year transformation. The architecture you establish, the platforms you select, and the systems you build will become the technical foundation behind how ECI acquires, serves, retains, and grows its customers. Few engineering roles offer this combination of technical ownership, executive visibility, and company-wide impact.

Similar Jobs

2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Support the CFO through complex calendar and inbox management, executive communications, planning, meeting preparation, follow-up tracking, travel and expense coordination. Own Office of the CFO operating rhythms, improve processes, maintain accountability, coordinate cross-functional logistics, and build trusted relationships while handling sensitive information. The role requires regular in-person availability in San Francisco and effective use of collaboration and AI productivity tools.
Top Skills: Ai ToolsClaudeGitlabGoogle WorkspaceNavanSlackZoom
2 Hours Ago
Remote
Arizona, USA
60K-107K Annually
Junior
60K-107K Annually
Junior
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manage behavioral health and substance abuse member cases through assessments, care coordination, treatment planning, provider collaboration, and barrier resolution. Support high-risk members using an integrated care management model, coordinate with treatment teams, educate members about available resources, and participate in interdisciplinary team rounds. This remote role requires Arizona residency and an active, unrestricted behavioral health license.
Top Skills: ExcelMS OfficeMicrosoft OutlookMicrosoft TeamsMicrosoft Word
2 Hours Ago
In-Office or Remote
146K-250K Annually
Expert/Leader
146K-250K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise AI/ML architecture for LLM, agentic, multi-agent, and RAG applications. Designs scalable, secure, compliant frameworks; remains hands-on with coding and integrations; drives optimization, observability, reliability, governance, and reusable components. Partners with product, engineering, and compliance teams, evaluates emerging AI technologies, and mentors senior engineers. Requires extensive software engineering and AI architecture experience, strong Python skills, cloud and containerization expertise, and experience deploying AI solutions in regulated environments.
Top Skills: Agentic WorkflowsArizeAWSAzureCi/CdDockerKubernetesLlmsMulti-Agent SystemsNext.JsPhoenixPostgresPythonReactRetrieval-Augmented Generation (Rag)

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account