Staff Engineer - Applied AI Engineering

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

About the Team
The Engineering Team is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

About the Role
We are looking for experienced Staff Engineers who can help realize Clari+Salesloft’s vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India.

Responsibilities:
• Architect and maintain scalable, reusable platform infrastructure and tools that support the entire application lifecycle, including data ingestion, workload orchestration, deployment, and monitoring for distributed systems and services
• Build standardized, production-ready deployment workflows and templates using tools like Airflow and orchestration frameworks to enable rapid development and consistent deployment patterns
• Implement robust CI/CD pipelines, Docker containerization, artifact registries, and configuration management to support reproducibility, scalability, and governance across platform services
• Optimize platform technologies, including distributed computing frameworks, caching layers, message queues, and real-time data processing systems
• Automate and streamline service deployment, scaling, versioning, and infrastructure provisioning workflows, ensuring consistency, reliability, and adherence to industry best practices.
• Ensure reliability, observability, and scalability of production workloads by implementing comprehensive monitoring, alerting, performance profiling, and continuous system evaluation
• Integrate infrastructure components such as Kubernetes orchestration, distributed computing frameworks (Ray, Spark), and cloud solutions (AWS/Azure/GCP) for robust production environments
• Drive infrastructure optimization for high-throughput use-cases, including efficient resource utilization (batching, caching, auto-scaling), deployment strategies, configuration management, and system updates at scale
• Partner with data engineering, product, infrastructure, and other stakeholder teams to align platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
• Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Qualifications:
• 8+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads
• Expert-level proficiency in Python and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog)
• Experience implementing modern DevOps and platform engineering practices, including service lifecycle management, CI/CD, Docker, Kubernetes, artifact registries, and infrastructure-as-code tools (Terraform, Helm, CloudFormation)
• Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS)
• Proven experience with distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures
• Experience designing and maintaining real-time data pipelines, including integrations with feature stores, streaming platforms (Kafka, Kinesis), API gateways, and observability solutions
• Familiarity with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations
• Solid understanding of platform monitoring and optimization, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently

Perks & Benefits:
• Flexible working hours and hybrid work opportunities
• Life and accidental coverage
• Mental health support provided by Modern Health
• 100% paid parental leave
• Discretionary paid time off, and Focus Fridays
• Focus on culture: Charitable giving match, plus in-person and virtual events

#LI-Hybrid

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com or @salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers site.

Please note: We may use an AI notetaker in our interviews so we can focus on the conversation. The notes are private and used only for our hiring process. To opt out, please contact your recruiter. It won’t affect your experience. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.