Engineering Manager

Datagrid AI; United States; Hybrid; USD 171.600 - 224.300; Vollzeit

Benefits dieser Stelle

Equity opportunities

Health, dental, and vision benefits

Flexible PTO

Remote work options

Zusammenfassung

A leading AI platform company in the United States is seeking an Engineering Manager to lead their engineering team. The ideal candidate will balance technical leadership and team development while staying involved with coding and mentoring. Responsibilities include defining architecture, overseeing product development, and ensuring high-quality coding standards. The role requires several years of engineering experience and a strong background in SaaS or AI products.

Qualifikationen

• Several years of hands-on engineering experience.
• Experience leading engineering teams.
• Proficiency in core programming languages.

Aufgaben

• Lead and mentor engineering team.
• Define technical direction and architecture.
• Participate in sprint planning and prioritization.

Kenntnisse

Technical leadership

Mentorship

Collaboration

Project management

Communication

Ausbildung

Degree in Computer Science or related field

Tools

Python

TypeScript

Go

AWS

TensorFlow

Jobbeschreibung

Join to apply for the Engineering Manager role at Datagrid AI

Join to apply for the Engineering Manager role at Datagrid AI

Datagrid is an AI platform that transforms your company knowledge into contextualized AI agents. Customize AI agents with knowledge, tools, and actions that help you work smarter and more efficiently. Datagrid's AI agents act as smart collaborators, automating complex tasks, uncovering insights, and streamlining decisions.

Users can easily build workflows, enrich data, and manage large datasets. With 100+ integrations and adaptive AI agents, Datagrid keeps businesses ahead of developments while reducing manual effort. By democratizing AI, we empower users to unlock advanced capabilities without technical expertise. Whether automating workflows or turning data into insights, Datagrid bridges the gap between data and success, driving productivity and innovation.

We’re looking for passionate individuals to join us at the frontier of AI innovation.

About the role:

We are looking for an Engineering Manager with a strong technical foundation and proven experience leading development teams. This role is ideal for someone who has thrived as a hands-on engineer and has since grown into managing and scaling high-performing teams. You’ll balance technical leadership, team development, and delivery oversight — while still staying close enough to the code to mentor, review, and guide engineering decisions.

You will partner closely with product, design, and operations to deliver AI-powered products and features that our customers love.

What you’ll do:

• Lead, mentor, and grow a team of engineers across AI, backend, and frontend development.
• Set technical direction, define architecture, and ensure high-quality coding standards.
• Act as a bridge between strategic product goals and technical execution.
• Participate in technical design reviews, code reviews, and problem-solving sessions.
• Oversee sprint planning, prioritization, and delivery timelines.
• Collaborate with product managers to refine requirements and ensure feasibility.
• Champion best practices in security, scalability, and AI/ML integration.
• Recruit and onboard new engineering talent.
• Foster a culture of innovation, collaboration, and continuous improvement.

What you’ll have:

• Proven experience: several years as an individual contributor (software engineer, AI/ML engineer, etc.) and several years in engineering leadership roles.
• Strong background in building and scaling SaaS or AI-driven products.
• Experience leading distributed engineering teams.
• Proficiency in one or more core languages (Python, TypeScript, Go, or similar) and familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and DevOps practices.
• Track record of shipping complex products from concept to launch.
• Excellent communication skills and ability to collaborate across technical and non-technical teams.
• Experience with vector databases, LLM orchestration, or AI agent frameworks.
• Background in enterprise SaaS or B2B software.
• Experience balancing technical debt with rapid delivery in a startup environment.

Who you are:

• Bias for action – moves fast but thoughtfully, balancing speed with quality.
• Strong project management – ensures teams hit milestones without micromanaging.
• Adaptability – thrives in a rapidly changing startup environment.
• Product mindset – understands customer needs and translates them into technical priorities.
• Comfortable with ambiguity – can work with evolving requirements and shifting priorities.
• Curiosity & learning drive – stays on top of AI and engineering trends.
• Ownership mentality – sees projects through end-to-end, not just to “handoff” points.
• Collaboration-first – works well with product, design, and operations.

If you thrive at the intersection of strategy, customer engagement, and data-driven success, we’d love to connect with you!

Pay Range and Benefits

Up to $180,000 USD per year + equity per yer depending on experience and qualifications.

At Datagrid we set pay ranges using market data, internal benchmarks, and the scope of responsibilities. Final compensation within this range will be determined based on relevant experience, skills, and geographic location.

In addition to base salary, this role may be eligible for:

• Equity in the company
• Home office set-up reimbursement
• Health, dental, and vision benefits
• Flexible PTO and remote work options

Equal Opportunity Employer

Datagrid is an equal opportunity employer and is committed to building a diverse and inclusive team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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