Lead a team of engineers to design, develop, and enhance the data ingestion platform, focusing on real-time data processing and system reliability.
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 to lead our team of engineers working to design, develop, and enhance our core Data Ingestion platform. This platform is critical for processing massive, real-time data streams that power our customer-facing products and internal machine learning models.
This is a true full-stack management role. You will contribute to the development of high-throughput, reliable data pipelines, infrastructure, and data-serving capabilities across the Attentive platform, working with Product Management and Engineering to implement end-to-end use cases. This is a hands-on role where you are expected to balance people management, technical oversight, and cross-functional leadership
What You'll Accomplish
- You are an effective people manager, who can manage high-performing teams and helps 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 $210,000 - $265,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-EF1
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
Data Pipelines
Machine Learning
Streaming Applications
Attentive San Francisco, California, USA Office
114 Sansome Street, San Francisco, CA, United States, 94104
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Commercial Sales Manager will lead a team of Account Executives to drive growth, optimize sales systems, and develop sales talent while utilizing AI tools for improved performance.
Top Skills:
AISales Automation Tools
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Mid-Market Sales Executive is responsible for selling BlackLine's SaaS platform, managing pipeline, achieving sales quotas, and developing client relationships.
Top Skills:
Finance/Accounting SoftwareSaaSSalesforce
AdTech • Digital Media • Marketing Tech
Develops and maintains local client relationships for advertising, analyzes market research, generates ad sales revenue, and provides marketing support.
Top Skills:
AdvertisingClient Relationship ManagementDigital ToolsMarket ResearchMedia Sales
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
