Qualys Logo

Qualys

Senior Technical Support Project Manager

Posted One Month Ago
Be an Early Applicant
In-Office
Foster City, CA, USA
125K-150K Annually
Senior level
In-Office
Foster City, CA, USA
125K-150K Annually
Senior level
Manages strategic enterprise customer relationships, complex technical escalations, critical incidents, and cross-functional initiatives. Coordinates Support, Engineering, Product, SRE, QA, and Sales to resolve issues, improve adoption, retention, customer satisfaction, and operational performance. Leads customer reviews, incident management, root-cause analysis, postmortems, executive reporting, and corrective actions. Mentors junior technical project managers and establishes support engagement best practices.
The summary above was generated by AI

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Senior Support Technical Project Manager
About the Role

We are looking for a Senior Support Technical Project Manager (Senior Support TPM) to manage strategic enterprise customer engagements, complex technical escalations, and cross-functional initiatives. This role serves as a trusted technical partner to customers while coordinating with Support, Engineering, Product Management, SRE/Operations, QA, and Sales to drive timely resolution and improve the overall customer experience.


The Senior Support TPM will also mentor junior TPMs, drive operational improvements, and help establish best practices across the global Support TPM organization.


Key Responsibilities
  • Own strategic customer relationships and drive successful technical outcomes, adoption, retention, and customer satisfaction.
  • Lead complex customer escalations, product defects, feature requests, and critical incidents from identification through resolution.
  • Coordinate cross-functional teams including Support, Engineering, Product, SRE/Operations, QA, and Sales.
  • Understand customer environments and translate technical issues into business impact, priorities, and actionable plans.
  • Drive customer meetings, technical reviews, MBRs/QBRs, project tracking, and executive communications.
  • Lead incident management, RCA, postmortem, and corrective-action processes for critical customer issues.
  • Track customer health, sentiment, risks, escalations, renewals, and expansion opportunities.
  • Partner with Sales to support renewals, expansion, and product adoption.
  • Mentor and coach TPMs on technical engagement, escalation management, communication, and customer management.
  • Identify and drive improvements to Support/TPM processes, tools, reporting, and customer experience.
  • Provide executive-level reporting and insights on customer health, risks, escalations, and operational performance.

Required Qualifications
  • 7+ years of experience in customer-facing technical roles such as Technical Customer Success, Technical Project Management, or Technical Support.
  • 5+ years of experience in SaaS, cloud, or enterprise technology environments.
  • Strong experience managing enterprise customers and complex technical escalations.
  • Experience working across Support, Engineering, Product Management, Operations/SRE, QA, and Sales.
  • Strong understanding of cybersecurity and enterprise IT environments.
  • Familiarity with Vulnerability Management, PCI, NIST, Web Application Security, or related technologies.
  • Excellent technical, communication, presentation, project management, and stakeholder management skills.
  • Demonstrated ability to mentor team members and influence cross-functional teams.
  • Strong ownership, problem-solving, prioritization, and execution skills.

Preferred Qualifications
  • Experience with Qualys products and platform.
  • Experience with Vulnerability Management, VMDR, Cloud Agent, Policy Compliance, or Web Application Security.
  • Experience managing major incidents, RCAs, and executive-level customer escalations.
  • PMP, CISSP, CISM, CompTIA Security+, or equivalent certification.
  • Experience with Jira, Salesforce, Confluence, Gainsight, or similar platforms.

******************************************************************************************************************


The salary range for this position is $125,000 - $150,000 per year. Final compensation will be determined based on several factors, including but not limited to skills, relevant experience, and work location. Please note this range reflects base salary and does not include incentive compensation or potential equity grants. We also offer a comprehensive and highly competitive benefits package.

Qualys is an Equal Opportunity Employer, please see our EEO policy.

HQ

Qualys Foster City, California, USA Office

919 E Hillsdale Blvd, Foster City, CA , United States, 94404

Similar Jobs

31 Minutes Ago
In-Office
San Francisco, CA, USA
200K-325K Annually
Senior level
200K-325K Annually
Senior level
Artificial Intelligence • Software
Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow
31 Minutes Ago
In-Office
San Francisco, CA, USA
190K-230K Annually
Mid level
190K-230K Annually
Mid level
Artificial Intelligence • Software
Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.
Top Skills: Artificial IntelligenceLarge Language ModelsSaaS
31 Minutes Ago
In-Office
San Francisco, CA, USA
180K-200K Annually
Entry level
180K-200K Annually
Entry level
Artificial Intelligence • Software
Conduct applied AI research for legal technology, focusing on LLMs, deep learning, long-context reasoning, contract analysis, information extraction, hallucination mitigation, explainability, and model evaluation. Own research roadmaps, design experiments, build benchmarks, develop prototypes, and ship successful approaches into production with Engineering and Product. Communicate findings to technical and non-technical stakeholders.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account