Senior Technical Product Manager

Cotality•Dallas, TX

1d•Hybrid

About The Position

As a Senior Professional Technical Product Manager, you operate with a high degree of independence within an AI‑native Software Development Lifecycle, owning end‑to‑end SDLC readiness across complex product scope. You lead the shaping, sequencing, validation, and delivery of work that spans systems, dependencies, and teams. In this role, you move beyond executing within defined scope to anticipating risk, guiding decisions, and ensuring delivery remains predictable and resilient in production. You operate directly within the technical ecosystem (source control, CI/CD pipelines, environments, and observability), using AI to accelerate execution while remaining accountable for decision quality, validation, and outcomes at scale.

Requirements

Work orchestration across teams and dependencies (Jira or equivalent)
Source control and code review interpretation (GitHub or equivalent)
Repository/IDE inspection for system context and changes (VS Code or equivalent)
CI/CD workflows and deployments (Jenkins pipelines, build promotion, release coordination)
Environments and feature management (feature flags, staged releases)
Observability signals to assess system health, severity, and risk
Operates confidently in AI‑assisted workflows across complex problem spaces
Structures prompts, refines outputs, and validates results effectively
Uses AI to surface risks, gaps, and dependencies earlier in the SDLC
Continuously improves execution through refined AI workflows
Independent decision‑making and strong ownership of outcomes
Ability to lead through ambiguity and complexity
Clear, structured communication that drives alignment and progress
Strong collaboration across Engineering, UX, and Product
Ability to mentor and elevate other TPMs

Responsibilities

Leads end‑to‑end SDLC readiness across complex initiatives, ensuring work is clearly defined, sequenced, and execution‑ready
Uses AI‑assisted workflows to accelerate planning, synthesis, and risk identification, while modeling effective prompting, validation, and output refinement within the team
Anticipates delivery challenges and adjusts scope, sequencing, or approach to maintain forward progress
Ensures consistent application of readiness and validation practices across workstreams
Provides guidance to other TPMs on effective execution practices, including AI native workflows, validation discipline, and delivery readiness standards
Operates deeply within engineering workflows (repos, PRs, IDEs, pipelines) to understand scope, impact, and delivery risk
Interprets technical activity to guide decisions and maintain alignment across teams
Leads validation practices across complex work, ensuring intended behavior is confirmed before release
Owns release readiness and go/no‑go decisions across broader scope and dependencies
Triggers deployments and promotes builds through Jenkins, ensuring controlled and coordinated release execution
Confirms readiness signals and post‑release outcomes, ensuring alignment to product intent
Anticipates and mitigates delivery and operational risks, including cross‑team dependencies and downstream impact
Leads product decision‑making during incidents, coordinating with Engineering to assess impact and guide response
Ensures incidents result in meaningful improvement by driving remediation and prevention efforts to completion
Uses operational data and system signals to continuously improve delivery quality, reliability, and performance