Leads distributed engineering teams, oversees technical execution and software project delivery, establishes engineering standards, manages risks, ensures scalable and secure architecture, and develops engineering talent. Partners with product, architecture, technical leadership, clients, and stakeholders on roadmaps, delivery plans, performance, and continuous improvement.
This is a remote position.
The Engineering Manager is responsible for leading engineering teams, driving technical execution, and ensuring the successful delivery of high-quality software solutions. This role combines people leadership, technical oversight, and project delivery, working closely with Product Managers, Technical Leads, Architects, and stakeholders to build scalable, secure, and reliable products.
Key Responsibilities - Lead and manage cross-functional engineering teams across multiple product initiatives.
- Drive the planning, execution, and delivery of software development projects.
- Collaborate with Product Managers and Technical Leads to define technical roadmaps and delivery plans.
- Coach, mentor, and develop engineers through regular feedback and performance management.
- Establish engineering standards, development best practices, and quality assurance processes.
- Monitor project progress, identify delivery risks, and implement mitigation strategies.
- Ensure scalable architecture, code quality, security, and operational excellence across engineering teams.
- Support recruitment, onboarding, and capability development of engineering talent.
- Foster a culture of collaboration, innovation, accountability, and continuous improvement.
- Engage with clients and internal stakeholders to provide technical leadership and project updates.
- 9+ years of software engineering experience, with at least 5 years in an engineering leadership or management role.
- Proven experience leading distributed engineering teams in Agile environments.
- Strong background in enterprise software, fintech, or digital product development.
- Demonstrated success delivering complex software projects from concept to production.
- Excellent leadership, communication, stakeholder management, and decision-making skills.
- Experience managing remote, cross-functional engineering teams.
- Software Architecture & System Design
- Cloud Platforms (AWS, Azure, or GCP)
- REST APIs & Microservices
- CI/CD & DevOps Practices
- Agile/Scrum Delivery
- Engineering Performance Metrics
- Technical Risk Management
- Team Leadership & Coaching
Similar Jobs
Big Data • Fintech • Information Technology • Insurance • Software
Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.
Top Skills:
AidlcAsynchronous MessagingClaude CodeClaude TagEvent SourcingGithub CopilotGoGoogle Cloud PlatformGrpcKubernetesPostgresPythonRestTypescript
Artificial Intelligence • Fintech • Healthtech • Software
Lead a team of 4–6 engineers building and scaling AI-powered conversational experiences for healthcare financial support across voice, chat, and text. Provide hands-on technical leadership, contribute production code, mentor engineers, improve AI reliability using product and client feedback, and partner with Product, Design, and Data Science from concept through launch. Develop orchestration and human-in-the-loop systems while advancing an AI-first software development lifecycle.
Top Skills:
Artificial IntelligenceChat InterfacesConversational AiData ScienceText InterfacesVoice Interfaces
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads engineers and data scientists developing autonomy subsystem evaluation metrics, root-cause analyses, regression detection, and release decision tools. Owns roadmap, staffing, technical quality, and cross-functional alignment across planning, perception, prediction, and localization. Applies statistical evaluation, simulation and road data analysis, and VLMs/LLMs to determine how subsystem errors affect driving outcomes and communicate actionable findings to engineering and leadership.
Top Skills:
C++LlmsPythonSQLVlms
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
