Senior Manager, Technical Operations

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote or Hybrid
155K-195K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Leads operational excellence for a global Sales Engineering organization supporting enterprise and AI infrastructure sales. Drives technical pre-sales processes, POC and evaluation workflows, cross-functional program coordination, dashboards, KPI reporting, Salesforce improvements, forecasting, resource planning, and executive visibility. Partners with Sales, Product, Engineering, GSS, Marketing, and RevOps to improve technical engagement, operational scalability, process governance, and coordination across customer-facing teams.
Summary Generated by Built In

We are seeking a Senior Manager, Technical Operations to partner closely with the Sales Engineering organization and help scale operational excellence across technical pre-sales.

This role is responsible for driving operational rigor, process improvement, technical program coordination, systems alignment, reporting, and cross-functional execution for the Sales Engineering organization. The ideal candidate understands how enterprise infrastructure technical sales organizations operate and can bridge technical teams with business operations, sales, product, services, and GTM leadership.

This is a highly cross-functional role requiring a strong operational mindset, technical aptitude, and the ability to create scalable processes in a fast-moving AI infrastructure environment.

The successful candidate will work closely with Sales Engineering leadership to improve forecasting visibility, POC management, resource planning, technical readiness, field coordination, executive reporting, and operational scalability.

What You’ll DoDrive Sales Engineering Operational Excellence
  • Build and improve operational processes that support the Sales Engineering organization globally

  • Help scale technical pre-sales operations across complex enterprise and AI infrastructure sales motions

  • Create operational rigor around POCs, evaluations, demos, technical validation workflows, and customer readiness activities

  • Improve visibility into Sales Engineering engagement, resource allocation, workload, and execution priorities

Technical Program & Process Management
  • Coordinate cross-functional technical initiatives involving Sales Engineering, Product, Engineering, GSS, Sales, and RevOps

  • Build scalable workflows for technical evaluations, customer onboarding support, and solution readiness processes

  • Improve handoff and coordination between pre-sales, implementation, and support organizations

  • Identify operational bottlenecks and drive process improvements

Reporting, Analytics & Executive Visibility
  • Develop dashboards, KPIs, scorecards, and reporting frameworks for Sales Engineering leadership

  • Improve visibility into POC activity, technical win rates, utilization, engagement coverage, and operational performance

  • Support forecasting processes, QBRs, operational reviews, and executive reporting

  • Translate technical operational data into actionable business insights

Systems & Operational Infrastructure
  • Partner with GTM Applications, RevOps, and technical teams to improve systems and workflows

  • Improve Salesforce operational hygiene and technical engagement tracking

  • Help operationalize scalable tooling, automation, and AI-enabled workflows

  • Support data quality, process governance, and operational consistency across the SE organization

Resource Planning & Organizational Scale
  • Support Sales Engineering leadership with capacity planning, territory alignment, and operational prioritization

  • Improve planning processes for technical coverage, strategic accounts, and customer engagement models

  • Help scale operational support structures as the organization grows globally

Cross-Functional Alignment
  • Partner closely with Sales, Product, GSS, Engineering, Marketing, and RevOps teams

  • Help align technical pre-sales execution with business priorities and customer requirements

  • Support operational coordination for strategic customer opportunities and complex enterprise engagements

What We’re Looking ForRequired Qualifications
  • 7+ years of experience in Technical Operations, Sales Operations, Sales Engineering Operations, Program Management, or related operational roles

  • Experience supporting Sales Engineering, technical pre-sales, or enterprise infrastructure organizations

  • Strong understanding of enterprise hardware, storage, AI infrastructure, cloud, or data center environments

  • Proven ability to create scalable operational processes and drive cross-functional execution

  • Strong analytical, organizational, and problem-solving skills

  • Experience building dashboards, operational reporting, and KPI frameworks

  • Strong communication and stakeholder management skills

  • Experience with Salesforce and operational reporting environments

Preferred Qualifications

  • Experience in AI infrastructure, HPC, enterprise storage, GPU infrastructure, or cloud platforms

  • Familiarity with POC management, technical validation workflows, and enterprise solution design processes

  • Experience supporting global technical organizations

  • Exposure to automation, AI-enabled workflows, and operational tooling modernization

  • Experience operating in high-growth or transformation-stage technology companies

What Success Looks Like
  • Improved operational visibility across the Sales Engineering organization

  • Better coordination and scalability for POCs, evaluations, and technical engagements

  • Increased efficiency in technical pre-sales execution

  • Improved forecasting and resource planning visibility

  • Stronger alignment between Sales Engineering, Sales, Product, and GSS

  • Improved operational consistency and process maturity globally

  • Increased productivity and effectiveness across the SE organization

Skills Required

  • 7+ years of experience in Technical Operations, Sales Operations, Sales Engineering Operations, Program Management, or related operational roles
  • Experience supporting Sales Engineering, technical pre-sales, or enterprise infrastructure organizations
  • Strong understanding of enterprise hardware, storage, AI infrastructure, cloud, or data center environments
  • Experience creating scalable operational processes and driving cross-functional execution
  • Strong analytical, organizational, and problem-solving skills
  • Experience building dashboards, operational reporting, and KPI frameworks
  • Strong communication and stakeholder management skills
  • Experience with Salesforce and operational reporting environments
  • Experience in AI infrastructure, HPC, enterprise storage, GPU infrastructure, or cloud platforms
  • Familiarity with POC management, technical validation workflows, and enterprise solution design processes
  • Experience supporting global technical organizations
  • Exposure to automation, AI-enabled workflows, and operational tooling modernization
  • Experience operating in high-growth or transformation-stage technology companies
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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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