Top Engineering Manager Jobs in Dallas, TX

Lead and grow a software engineering team building Hatch and Unity platforms. Partner with product and business stakeholders to deliver high-quality web features on schedule, guide architecture and technical decisions, refine development and AI-assisted workflows, hire and mentor engineers, conduct code reviews, and remove blockers so the team can ship reliably.

Manage and coach a team of engineers on the Gateway or Agent team, ensuring fast decision-making and technical direction while connecting work to company goals and improving team performance.

The Engineering Manager for Smart Signals leads a team, manages execution, and maintains technical depth in backend systems for fraud detection. They shape strategy and coordinate across teams to enhance product quality.

The Engineering Manager will lead a team to develop scalable software solutions, ensuring technical excellence and driving product innovation. Responsibilities include mentoring, overseeing code quality, and collaborating with cross-functional teams.

The Engineering Manager will lead a fullstack engineering team, ensuring technical excellence, mentoring engineers, and driving product development for ClickUp's flagship products.

Lead and grow Revance's digital engineering capability across Salesforce and modern headless web stacks. Hands-on manager who debugs production issues, enforces code quality and standards, manages vendor partnerships, hires and develops engineers, drives technical debt remediation, and owns platform reliability and cross-pod engineering consistency.

Lead and develop a software engineering team building an AI-powered litigation product. Manage projects, resource allocation, SDLC and compliance (SOC2), mentor engineers, run hiring and interviews, triage incidents, collaborate cross-functionally, and drive continuous improvement.

The Technical Engineering Manager leads cross-functional teams to ensure high-quality software delivery, drives technical innovation, mentors engineers, and manages operational efficiency within the banking software sector.

Lead and grow an engineering team building airgapped, UDS-compatible, cloud-native software. Own delivery of scalable, secure products, mentor engineers, drive CI/CD and infrastructure automation, and coordinate with Product, Growth, and Delivery to meet customer and roadmap objectives.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

Lead and scale mobile engineering across iOS and Android. Manage teams, drive strategy, ensure quality, and advocate for user experience.

Lead a cross-functional product team to develop real-time operational tools for transit agencies, ensuring technical guidance and team support towards impactful solutions.

The Mobile Engineering Manager will lead a team in building consumer mobile apps, focusing on quality and performance while collaborating with Product and Design teams.

Lead and mentor a team building Twilio's next-generation low-latency, high-throughput media processing stack. Drive architecture and technical decisions, balance reliability with feature delivery, own performance and reliability targets, collaborate across product and platform teams, reduce technical debt, and establish engineering excellence in testing, code quality, and operations for global real-time media services.

Lead POS engineering teams to design, develop, deploy, and support POS applications and services. Own architecture, cloud integrations (AWS/Azure), payments and tax (OneSource), peripherals, CI/CD, IaC, observability, automation, and operational excellence. Mentor leaders, manage vendors/budgets/contracts, prioritize projects, and drive secure, high-performance, large-transaction retail platforms.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

As an Engineering Manager at Medallion, you will lead engineering teams, shape product roadmaps, mentor engineers, and build a strong team culture while integrating AI into workflows.

Lead and grow a Data Engineering organization to design, build, and operate scalable, governed data pipelines and enterprise data products. Define technical strategy and roadmap, improve data quality, reliability, observability and governance, partner with cross-functional teams, and drive platform evolution to enable analytics, ML, reporting, and self-service insights.

Lead QA & Standards for an enterprise SaaS platform, owning manual QA, automation, and performance testing. Set org-wide test standards, define release quality gates, drive AI-first QA adoption, grow performance engineering, manage distributed teams, and partner with engineering leadership on automation strategy and quality transformation.

Manage two Reporting/BI scrum teams delivering financial reporting for the CEM platform. Own delivery, people, and client relationships; provide technical SQL/BI leadership; drive AI-first tooling adoption; coordinate cross-functional alignment; hire and develop engineers across distributed locations.

Lead a team of engineers to develop AI-driven solutions for digital marketing, ensuring high quality and scalability, while mentoring team members.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

The Engineering Manager will mentor a team of engineers, improve processes, collaborate with product managers, and define staffing strategies.

Lead and grow a compute engineering team building large-scale, multi-tenant compute platforms for AI workloads. Drive strategy, roadmap, architecture, operations, capacity planning, and reliability. Own on-call, incident response, and cost/utilization tradeoffs while partnering across product, security, and customers to deliver a predictable, efficient, and secure compute substrate.