Lead and mentor an engineering team building large-scale AI infrastructure. Partner with product, machine learning, QA, and sales teams on roadmaps, architecture, development, experimentation, and deployment. Drive product milestones, feature delivery, quality metrics, security practices, risk management, recruiting, interviewing, and onboarding. Contribute to technical design and support engineers’ growth while maintaining information-security and data-handling standards.
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Engineering Manager Role
In order to execute our vision, we're constantly growing our engineering team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects. Our ideal candidate has experience managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
- Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team
- Lead a development team of highly capable and passionate engineers, helping them achieve their goals through mentorship
- Participate in products technical design and architecture
- Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy
- Drive delivery for our product milestones, continually releasing features and ensuring quality metrics are achieved
- Implement and manage security protocols such as training, code review, and best practices
- Own and manage the risk and security of your business function in coordination with the Security Team
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- Undergraduate or graduate degree in computer science or similar technical field
- 4+ years experience developing software as an engineer, with experience in distributed systems and large scale application development a plus
- 3+ years experience managing engineering teams. Familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etc
- Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
- Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
- Have experience collaborating with product managers and QA in delivering product features
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Deploy and we hope to meet you soon!
The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Similar Jobs
Fintech • Payments • Financial Services
Lead the IAM engineering team responsible for authentication and authorization systems. Define and deliver scalable solutions, ensure reliability and performance of critical high-load distributed systems, contribute hands-on through coding and system design, mentor engineers, promote high-quality engineering practices, and collaborate with product teams and stakeholders across the company.
Top Skills:
JavaPostgresRedis
Artificial Intelligence • Fintech • Software
Lead a highly technical backend engineering team building scalable SaaS systems and AI-powered accounting automation. Responsibilities include mentoring senior engineers and tech leads, resolving complex technical issues, guiding architecture and system design, reviewing code, operating distributed production systems, and driving AI-assisted software development using tools such as Cursor and Claude Code.
Top Skills:
Ai AgentsAPIsClaudeClaude CodeCursorDistributed SystemsLlmsSaas PlatformsScalable Data Pipelines
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Leads and mentors an FPGA engineering team developing radiation-tolerant, high-reliability FPGA and high-speed digital solutions for spacecraft. Owns architecture, requirements, simulation, synthesis, timing closure, verification, hardware integration, roadmaps, technical reviews, risk, schedules, and budgets. Collaborates with systems, avionics, embedded software, and test teams to deliver aerospace and defense-compliant products.
Top Skills:
Artix-7CC++EthernetFpgaHilPciePolarfireProasic 3PythonSilSmartfusion 2SpacewireVerilogVhdlZynq Ultrascale+
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
