dataplorDA

Engineering Manager - Infrastructure and DevOps

Dataplor is a global location intelligence provider, offering accurate and dynamically updated Point of Interest (POI) data for businesses to make informed decisions and identify growth opportunities worldwide.

dataplor

Employee count: 51-200

United States only

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

About the job

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Posted on

Job type

Full Time

Experience level

Manager

Location requirements

Hiring timezones

United States +/- 0 hours

About dataplor

Learn more about dataplor and their company culture.

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We are dataplor, and we're driven by the mission to illuminate global market opportunities. We recognized early on that the global location data landscape was fraught with challenges – data was not only difficult to access but also plagued by inaccuracies. This reality created significant blind spots for businesses, often forcing them to take speculative risks when expanding into new territories. Our core objective is to bridge these critical information gaps. We provide businesses with reliable, comprehensive location intelligence for virtually every public and commercial location worldwide, covering over 250 countries and territories. We aim to make the world feel a little less vast by bringing previously overlooked markets into sharp focus, enabling companies to identify untapped potential and foster stronger connections within the global business community.

Our approach is built on a unique synergy of advanced technology and human expertise. We leverage cutting-edge technologies like artificial intelligence, machine learning, and large language models to gather, process, and analyze vast amounts of geospatial data. This includes everything from geographically tagged information and online feedback to consumer behaviors for every location, brand, or region. However, we understand that technology alone isn't enough to guarantee the accuracy needed for critical business decisions. That's why we also employ a global network of over 100,000 human validators and an in-house international team of data analysts. These experts possess native language proficiency and local expertise, conducting rigorous human reviews, error detection, and deduplication. This meticulous, multi-layered process ensures our datasets are not only comprehensive and dynamically updated in near real-time but also exceptionally accurate. We're passionate about empowering businesses to make data-driven decisions with confidence, whether it's for strengthening investment strategies, reaching new audiences, optimizing site selection, or understanding competitive landscapes. We're committed to privacy-first principles, ensuring no personally identifiable information (PII) is collected or used, adhering to stringent privacy laws like GDPR.

Employee benefits

Learn about the employee benefits and perks provided at dataplor.

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Paid holidays

Employees receive paid holidays.

Unlimited PTO

Dataplor provides unlimited paid time off.

Monthly Uber Eats credit

A monthly credit for Uber Eats is provided.

Co-working membership

Dataplor offers a co-working space membership.

View dataplor's employee benefits
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dataplor hiring Engineering Manager - Infrastructure and DevOps • Remote (Work from Home) | Himalayas