Technical Program Manager, Quality and Reliability
Own product quality and reliability as Technical Program Manager, leading release management, incident response, and cross-team initiatives to improve test coverage, observability, and metrics like MTTR in a fast-scaling SaaS environment. Requires 5+ years TPM experience, QA background, and bachelor's in technical field.
About the job
What You'll Do
- Own release management end-to-end, ensuring on-time, high-quality product releases through coordination across all teams in a fast-paced environment.
- Introduce and enforce change safety standards, such as risk assessments, rollback procedures, feature flags, and bug bashes to reduce regressions and customer impact.
- Lead horizontal reliability initiatives focused on improving test coverage, observability, and incident response readiness.
- Define, measure, and report on reliability metrics (e.g. change failure rate, MTTR, SLI), and drive accountability for sustained improvement.
- Identify systemic gaps in release processes, testing, monitoring, and incident response; convert findings into structured improvement plans with clear owners and timelines.
- Drive rapid triage and resolution of customer-reported issues in partnership with Product and User Operations, ensuring timely followup and continuous improvements.
- Own and improve the incident management lifecycle: Facilitate rigorous post-incident reviews, ensuring root causes are identified and corrective and preventative actions are tracked to completion.
- Oversee vendor reliability and SLA compliance, including performance monitoring, incident escalation, and periodic business reviews.
What You Have
- 5+ years of experience in technical program management or release management, ideally within SaaS or fast-moving tech companies.
- Prior experience working as Software QA or Test Engineer, preferably with SaaS products.
- Strong understanding of engineering workflows, including CI/CD, release cycles, and infrastructure planning.
- Experience partnering with engineering and product leadership to achieve cross-team quality and reliability objectives.
- Excellent communication skills—you can distill complexity into clarity for both technical and non-technical audiences.
- A track record of building systems and processes that scale with growth.
- Comfort in ambiguity and eagerness to build structure where there is none.
- Bachelor’s degree in Computer Science, Engineering, or related technical field.
Bonus Points
- Familiarity with incident management tooling (PagerDuty, Incident.io), monitoring stacks (Datadog, Prometheus, Grafana), and test automation frameworks (Playwright, Cypress, Selenium).
Compensation
$200,000 - $275,000 USD
Skills
CI/CD, Pagerduty, Incident.Io, Datadog, Prometheus, Grafana, Playwright, Cypress, Selenium, Release Management, Incident Management, Test Automation
Similar jobs
Technical Program Management jobsDrive adoption of an internal automation platform for AI infrastructure teams by running rollout, training, and enablement programs. Build frontend fixes (React/TS), prototype with AI tools, measure usage, and translate operational friction into shipped improvements.
Leads cross-functional delivery of AI/ML programs for public-sector cyber customers, managing accounts, datasets, deployments, and issue resolution. Requires cybersecurity experience, an active Top Secret clearance with polygraph, technical education, and willingness to work onsite in Columbia four days weekly.
Leads complex, cross-functional technical programs from planning through launch, coordinating engineering and business stakeholders while managing risks, dependencies, and delivery metrics. Requires 5+ years of technical program management experience in complex software development environments.
Executes personal security and GSIS program workstreams, maintaining policies, reporting, documentation, and stakeholder support under senior direction. The role requires corporate or physical security program experience, strong writing and documentation skills, and a bachelor’s degree or equivalent experience.
Leads complex search research and engineering programs across retrieval, indexing, model training, and infrastructure. The role requires substantial technical experience, strong program execution, product judgment, and the ability to align cross-functional teams.