Staff Software Engineer

About Demandbase

Demandbase is the pipeline AI platform that empowers go-to-market teams to automate growth at scale. By bringing together data, insights, actions, and outcomes in one platform, Demandbase helps B2B enterprises align and execute account-based GTM strategies with confidence.

Thousands of businesses trust Demandbase to maximize revenue, reduce waste, and consolidate their data and technology stacks. We are equally committed to building world-class technology and growing meaningful careers. Demandbase has been recognized as one of the Best Places to Work in the San Francisco Bay Area by Fortune and one of the 60 Best Companies to Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.

About the Role

As a Staff Software Engineer at Demandbase India, you will be a senior individual contributor responsible for designing, building, and operating complex, scalable, and reliable platform capabilities that impact multiple engineering teams across the US and India.

You will work on high-impact initiatives across our B2B go-to-market platform, helping build systems that connect data, insights, automation, agentic capabilities, and measurable customer outcomes. This role is ideal for an engineer who combines deep hands-on technical expertise with strong architectural judgment, product thinking, and cross-team influence.

You will partner closely with Engineering Managers, Product Managers, architects, and senior engineers to shape technical direction, break down ambiguous problems, and define technical roadmaps across multiple quarters. You will remain hands-on in system design, architecture, coding, reviews, and production readiness while mentoring engineers and raising the engineering bar across teams.

You will also help scale AI-assisted engineering and agentic software practices across systems and workflows to improve delivery speed, code quality, reliability, and developer productivity.

Responsibilities

• Lead the design and delivery of reliable, secure, and well-monitored AI systems that automate important workflows and create measurable business value.
• Lead complex projects involving multiple teams, from identifying the problem through design, implementation, rollout, and ongoing support.
• Define technical roadmaps, system designs, trade-offs, milestones, and success measures aligned with product strategy, customer outcomes, and business goals.
• Design, build, and maintain scalable backend systems, APIs, data platforms, and cloud infrastructure.
• Contribute hands-on to production code, design reviews, code reviews, testing strategy, performance tuning, observability, and incident learnings.
• Champion engineering excellence through CI/CD, test automation, monitoring, alerting, runbooks, security practices, and production readiness.
• Mentor engineers, raise technical standards, and help senior engineers grow their technical depth, product thinking, ownership, and leadership skills.
• Collaborate across US and India teams, communicate technical decisions clearly, resolve trade-offs constructively, and support hiring for senior engineering talent.

Qualifications

• 12+ years of professional software engineering experience, including experience as a senior technical leader or Staff-level individual contributor.
• Strong hands-on experience designing and building agentic solutions, agent workflows, automation systems, or AI-powered platform capabilities.
• Deep expertise in system design, software architecture, reliability, observability, performance tuning, production operations, and cloud-native deployment.
• Strong programming experience in Java, Scala, Python, or similar backend technologies.
• Experience with databases, messaging systems, caching layers, and data platforms such as PostgreSQL, Snowflake, Redis, Aerospike, Kafka, Pulsar, or similar technologies.
• Proven ability to lead complex technical initiatives across multiple teams, services, or product areas.
• Strong product and business judgment, with the ability to connect technical decisions to customer value, OKRs, and measurable outcomes.
• Experience using AI-assisted engineering practices responsibly across the SDLC and evaluating outputs for correctness, security, reliability, and production readiness.
• Excellent communication, influencing, and mentorship skills.