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About Us
Our mission at dataplor is to comprehensively map and understand every commercial location on the planet. We provide insights on every merchant in the world, covering 350M+ businesses and places, empowering organizations with high-quality location intelligence to drive strategic decision-making. After more than doubling our revenue last year, we closed a Series B. We are excited to grow the team and take this rocketship to the next level!
Role Overview
We’re hiring an Engineering Manager to lead our Internal Platform team—a foundational group focused on infrastructure, developer experience, and platform reliability. You’ll manage a small team of engineers building the systems that power our entire product development organization.
This is a player/coach role: you’ll lead, mentor, and grow a high-performing team, while also contributing hands-on to key projects involving Ruby, PostgreSQL, and AWS. You’ll help shape our internal tooling, DevOps strategy, and cloud infrastructure while collaborating with cross-functional stakeholders to improve how we build and ship software at scale.
Key Responsibilities
- Lead and manage the Internal Platform team focused on infrastructure, DevOps, and tooling.
- Ensure the delivery of well crafted technical output with buck-stops-here accountability.
- Guide the team through planning, execution, delivery, and continuous improvement of internal systems.
- Serve as a technical leader and hands-on contributor—writing code, designing systems, and mentoring engineers.
- Own and evolve our Heroku and AWS infrastructure, CI/CD pipelines, deployment processes, and platform reliability.
- Collaborate closely with Product, TPMs, and engineering teams to plan and deliver roadmap initiatives.
- Support your team’s growth through clear expectations, career development, and coaching.
- Foster a culture of ownership, security, reliability, and continuous improvement.
- Drive cross-functional alignment on platform priorities, risks, and trade-offs.
Required Qualifications
- 3+ years of engineering management experience, including leading teams in infrastructure, DevOps, or platform contexts.
- Strong hands-on experience with Ruby on Rails and PostgreSQL in production environments.
- Solid experience with Heroku and AWS (e.g., ECS, RDS, S3, IAM, VPCs) and Infrastructure as Code (Terraform, CDK, or similar).
- Proven ability to build and lead small teams, including hiring, coaching, and performance management.
- Experience working in early-stage startups or fast-paced product teams.
- Excellent communication and collaboration skills—you know how to translate technical details into business impact.
- A bias for simplicity, automation, and empowering developers through great tools and systems.
Benefits
- Competitive salary and benefits package
- Comprehensive health, dental, and vision insurance
- Unlimited PTO and paid holidays
- Monthly Uber Eats Credit
- Industrious or similar co-working membership
- Semi annual team retreats and ad hoc meetups
- A collaborative and supportive work environment
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
