As Engineering Manager, you'll lead high-performing teams, oversee technical designs for data integrations, and ensure the quality and reliability of data processing systems.
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.
Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.
With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), and Inc.’s Best Workplaces.
About the Role
We’re looking for an Engineering Manager in Attentive’s Data & Integrations Platform org. The platform enables the rapid, reliable development of integrations with Attentive’s industry partners and is foundational to our business. These integrations process massive, real-time data that power both customer-facing products and internal machine learning systems.
In this role, you’ll partner closely with Product Management and Engineering partners to deliver end-to-end use cases, from concept through production. You’ll be hands-on where it matters—providing technical direction, reviewing architecture, and helping the team navigate complex systems—while also supporting engineers’ growth and fostering a healthy, high-performing team.
This is a role for a manager who enjoys balancing people leadership, technical depth, and cross-functional collaboration. You’ll be responsible for developing engineers, driving execution, and shaping the technical direction of a critical platform that scales with Attentive’s growth.
What You'll Accomplish
- You are an effective people manager, who can manage high-performing teams and help them reach their highest potential
- Continue to grow the team, build upon the great culture, and nail the execution
- You'll participate in the detailed technical design, development, implementation, and support of our data ingestion pipelines and streaming applications using existing and emerging technology platforms
- You will collaborate with our product management team to craft plans to achieve our business goals
- You'll serve as a technical domain expert in large-scale data processing, low-latency data serving, architectural design decisions, developing and reviewing application code, and ensuring high availability and performance of our critical data infrastructure
Your Expertise
- You are an excellent coach, mentor, and developer of engineers
- You care about software quality and have a track record of building reliable, high-uptime systems, particularly in data-intensive environments
- You translate business needs into clearly scoped projects and take a hands-on approach to steer solution design and implementation
- You are excited by new technologies, yet know how to evaluate and choose the right tools for the right reasons
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $193,000 - $265,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-MN1
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each other’s champions
Champion the Customer - Our success is defined by our customers' success
Act Like an Owner - Take responsibility for Attentive’s success
Learn more about AWAKE, Attentive’s collective of employee resource groups.
If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
Top Skills
Airflow
AWS
Cloudflare
Datadog
DynamoDB
Esbuild
Gradle
GraphQL
Helm
Huggingface
Istio
Java
Kubernetes
Metaflow
Pandas
Playwright
Postgres
Python
PyTorch
Radix Ui
React
Redis
Spring Boot
Storybook
TensorFlow
Terraform
Typescript
Vite
Attentive New York, New York, USA Office
136 Madison Avenue, New York, NY, United States, 10016
Similar Jobs
Database • Analytics
Lead the Database Integrations team to design and scale pipelines connecting ClickHouse with major data systems, ensuring operational excellence and customer satisfaction.
Top Skills:
AWSAzureBigQueryGCPGoKubernetesMongoDBPostgresSnowflake
Cloud • Information Technology • Security • Software • Cybersecurity
Responsible for overseeing the technical sales process and running Proof of Value. Collaborates with internal teams to solve customer pain points.
Top Skills:
Network Security Technologies
Cloud • Fintech • Information Technology • Machine Learning • Software
As a Senior Software Engineer, you will build scalable features, modernize frontend platforms, and improve collaboration with product and design teams.
Top Skills:
AWSC#/.NetKubernetesReactTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
